Boombostic Health

Healthcare does not just have a care delivery problem. It has a payment problem. In this episode of Boombostic Health, Bradley Bostic sits down with Nitesh Shroff, CEO and co-founder of Arintra, live from ViVE, to discuss how AI is being used to tackle one of healthcare's most painful and overlooked challenges: revenue cycle management. Arintra's origin story started with a shocking $19,000 hospital bill caused by a coding error. That experience exposed how fragile, confusing, and expensive healthcare billing can be for patients and providers — and led Nitesh and his co-founder to build an AI-powered approach designed to make healthcare payments more accurate, transparent, and efficient. Nitesh explains how Arintra uses explainable AI, clinical and financial agents, and human-in-the-loop learning to automate medical coding, prevent denials, support prior authorization, and help health systems get paid accurately and on time. The company's technology works directly inside EHR workflows, including Epic and athenahealth, helping reduce friction for providers while improving trust and adoption. This conversation goes beyond automation hype. It explores why revenue cycle has become mission-critical for health systems, why denials keep increasing, why the supply of skilled coders cannot keep pace, and why explainability may be the key to making AI work safely in healthcare. In this episode: 00:00 — Live from ViVE with Nitesh Shroff of Arintra 01:36 — The $19,000 hospital bill that sparked Arintra's mission 04:22 — How explainable AI agents understand clinical and financial context 06:58 — Applying safety-first AI lessons from self-driving cars to healthcare 07:57 — Why documentation, coding, and payment must all align 09:04 — How customer pain points guide Arintra's roadmap 10:07 — The ROI opportunity for health systems 11:23 — Why revenue cycle complexity and denials are accelerating 12:38 — What better billing accuracy means for patients 14:58 — The future of prior authorization, compliance, and payment transparency Healthcare revenue cycle is often treated as a back-office function. But as Nitesh and Bradley discuss, it is the financial lifeblood of healthcare — and one of the places where AI may create immediate, measurable impact. Watch the full conversation to hear how Arintra is helping health systems reduce complexity, improve accuracy, and bring more trust into one of healthcare's most broken systems. Subscribe to Boombostic Health for more conversations with the builders, operators, and leaders transforming the future of healthcare.

AI is everywhere in healthcare right now. But Nancy Wright of GE HealthCare makes a sharper point: AI will only be as useful as the infrastructure underneath it. In this episode of Boombostic Health, recorded live at ViVE 2026 in Los Angeles, Bradley Bostic sits down with Nancy Wright, VP of Digital Platforms at GE HealthCare, for a practical conversation about interoperability, cybersecurity, connected devices, workforce shortages, and the operational future of healthcare. Nancy explains why interoperability is no longer just about exchanging clinical data. Health systems now need a more connected view across operations, finance, clinical workflows, biomedical engineering, supply chain, and cybersecurity. The challenge is not replacing every system. It is creating a smarter data layer that allows existing platforms to keep working while giving leaders better visibility, stronger security, and more actionable intelligence. The conversation also explores why healthcare cybersecurity must become proactive, why connected devices are expanding the risk surface, and how agentic AI could help reduce the burden on clinical and technical teams already stretched thin. This is a conversation about what healthcare needs before AI can truly scale: connected infrastructure, secure data, and operational intelligence. In This Episode Bradley and Nancy discuss: Why healthcare's AI future depends on the data layer beneath it What interoperability really means inside modern health systems Why disconnected operational, clinical, and cybersecurity data creates risk How connected devices and IoT endpoints are changing healthcare cybersecurity Why health systems need proactive security partners, not reactive fixes How agentic AI could support biomedical, clinical, and operational teams Why partnership will matter as healthcare innovation accelerates Key Moments 00:00 — Welcome from ViVE 2026 with Nancy Wright of GE HealthCare 01:08 — How AI is changing operations, labor, and interoperability 03:20 — Why interoperability needs a clearer definition 05:28 — Building a smarter layer across existing health system platforms 06:31 — Cybersecurity, bad actors, and healthcare's growing risk surface 08:48 — Connected devices, IoT endpoints, and proactive risk planning 12:09 — Why ViVE creates momentum for healthcare partnerships 14:15 — Agentic AI, workforce shortages, and the future of healthcare operations Why It Matters Healthcare does not need more disconnected technology. It needs infrastructure that helps leaders see across the enterprise, secure connected assets, support overloaded teams, and turn fragmented data into action. That is the foundation required for AI to become more than hype.

The $15 Billion Problem Hiding Inside Hospital Workflows Everyone wants to talk about AI in healthcare. Greg Miller wants to talk about the work no one sees. In this live conversation from ViVE, Greg Miller, VP at Carta Healthcare, joins the Boombostic Health Podcast to expose one of healthcare's most expensive hidden problems: the billions spent manually abstracting clinical data for registries, quality reporting, accreditation, CMS measures, and benchmarking. This is not basic data entry. It is highly skilled clinical work. Nurses and clinical experts are digging through EHRs, interpreting complex patient records, and making judgment calls that directly impact how hospitals measure quality and performance. Greg calls it "swivel chair interoperability," and it is costing U.S. healthcare an estimated $10–$15 billion every year. But the answer is not just "throw AI at it." Greg makes the case for hybrid intelligence: AI powerful enough to accelerate the work, with clinician oversight strong enough to earn trust. Because in healthcare, accuracy is not optional, workflow matters, and the market is moving past AI hype toward solutions that prove ROI fast. The real question is no longer whether healthcare will use AI. It is whether AI can actually solve the messy, expensive, high-stakes problems buried inside the system. Timestamps 00:00 — Why clinical data abstraction is healthcare's hidden cost center 02:16 — Why registry work still requires clinical judgment 04:37 — The trust gap: why AI needs clinician oversight 05:38 — How Carta Healthcare repositioned around "hybrid intelligence" 10:01 — Why the AI hype cycle is giving way to ROI 11:54 — Why healthcare technology fails when it sits outside the workflow Best Moments Greg breaks down why some registry questions cannot be answered by simply searching the EHR. They require clinical inference, context, and expertise. He also explains why healthcare buyers are getting sharper. A year ago, AI was the shiny object. Now, health systems want practical implementation, workflow integration, and measurable financial impact. Key Takeaway AI will not win in healthcare because it sounds impressive. It will win when it removes burden, protects accuracy, fits the workflow, and earns clinician trust. That is the promise of hybrid intelligence. Featured Guest Greg Miller VP, Carta Healthcare Follow Boombostic Health for more conversations with the leaders building the future of healthcare.

How Duke Is Building AI That Actually Works in Healthcare | Matt Cox, Duke Health Healthcare does not need more AI hype. It needs AI that can survive clinical reality: compliance, governance, patient safety, workflow, physician adoption, and the brutal operational pressure every health system is facing. In this episode of Boombostic Health, Bradley Bostic sits down live at ViVE 2026 with Matt Cox, Executive Director for Digital Value Creation at Duke Health, to unpack how Duke is moving from AI experimentation to real-world clinical impact. Matt shares how Duke is building its own AI capabilities, including the Scout LLM platform, to safely support use cases across the health system — from clinical research and chart review to virtual nursing, ambient documentation, operational efficiency, and clinician burnout. The standout example: Duke used Scout to review 200 pancreatic cancer patient charts in less than two hours — work that would typically take a PA or nurse practitioner one to two weeks. That is not theoretical AI. That is capacity creation. That is clinicians working at the top of their license. That is the future healthcare actually needs. In this episode Bradley and Matt discuss: Why Duke chose to build internal AI infrastructure instead of relying only on outside tools How Duke evaluates AI through governance, compliance, safety, bias, and clinical decision support The role of Duke Institute for Health Innovation and EHRX in exposing health data safely How Scout is helping accelerate chart review, clinical research, and protocol compliance Why AI's biggest opportunity may be giving time back to clinicians Duke's approach to investing in startups that solve real internal health system problems The growing importance of virtual nursing, ambient AI, and operating-room intelligence Why human factors may determine whether healthcare AI succeeds or fails What Matt is watching across the healthcare innovation landscape after ViVE Key Takeaways 1. The winning health systems will not just buy AI. They will govern it. Duke is not treating AI as a shiny object. It is building processes to test whether tools are safe, compliant, clinically appropriate, and operationally useful before scaling them. 2. AI only matters if it removes real friction. The Scout example shows the real promise: not replacing clinicians, but removing time-consuming administrative and review work so highly trained people can focus on patients, research, and care delivery. 3. Innovation starts with the problem, not the pitch deck. Duke's venture approach begins with internal pain points — nurse burnout, clinician burnout, access, capacity, and workflow — then looks for companies that can help solve them. Chapters 00:00 — Live from ViVE 2026 with Matt Cox of Duke Health 01:22 — Matt's role leading digital value creation at Duke 04:05 — How Duke built the foundation for healthcare AI through EHRX 05:04 — Why Duke created its own LLM capability 05:52 — Governing AI through safety, compliance, and clinical decision support 07:21 — Inside Scout, Duke's AI platform 08:18 — Reviewing 200 pancreatic cancer charts in under two hours 10:11 — Using AI to free clinicians and expand capacity 11:52 — Duke's shift from reactive innovation to targeted venture investing 12:44 — Why nurse burnout and virtual nursing are top priorities 14:07 — Ambient AI and the fastest adoption Matt has seen in healthcare 15:44 — How Duke prioritizes investment and implementation opportunities 17:42 — What Matt is learning at ViVE: human factors, new roles, and the future of work Featured Guest Matt Cox Executive Director, Digital Value Creation Duke Health Mentioned in this episode Duke Health Duke Institute for Health Innovation EHRX Scout LLM Platform Ambient AI Virtual Nursing Algorithm-Based Clinical Decision Support ViVE 2026 About Boombostic Health Boombostic Health puts a spotlight on the people, technologies, and ideas moving healthcare forward. Hosted by Bradley Bostic, each conversation explores the practical innovations reshaping care delivery, diagnostics, data, AI, and the future of healthcare. Subscribe for more conversations with the leaders building what comes next in healthcare.

Why Healthcare AI Needs Better Data Before Bigger Promises | Michael Meucci, CEO of Arcadia Episode Description: AI is moving fast in healthcare, but the real question is not who has the newest tool. It is whether the data behind it can be trusted. In this episode of Boombostic Health, Marcus Gordon sits down with Michael Meucci, CEO of Arcadia, to discuss what it will actually take for AI to improve care delivery, reduce friction, and create measurable impact across the healthcare system. Michael shares why healthcare organizations need complete, timely, clinically relevant data to make AI useful and safe. He explains how fragmented information can create risk instead of intelligence, why rural healthcare may become one of the most important innovation opportunities in the country, and how leaders need to rethink workflows instead of simply layering AI on top of broken processes. The conversation also explores the growing role of the healthcare consumer, the pressure facing hospitals and health plans, and why the next 24 months may reshape how care is delivered, measured, and experienced. Key Takeaways: AI in healthcare is only as strong as the data behind it. Michael explains why trusted, complete, timely, and relevant data is essential for AI to support better decisions and avoid creating more noise. Rural healthcare may become a major innovation frontier. With new national attention and investment, rural hospitals and critical access facilities have an opportunity to adopt modern care models, virtual-first approaches, and advanced technology in ways that could reshape access. Leaders need to redesign workflows, not just adopt tools. Michael challenges healthcare leaders to rethink long-standing assumptions around EHRs, operating models, automation, and how teams use technology to manage patients, panels, and performance. Topics Covered: Healthcare AI beyond the hype Why trusted data matters in clinical decision-making The risk of incomplete or outdated data How AI can support providers, patients, health plans, and health systems The role of longitudinal patient data Rural healthcare transformation Health equity and access to care Leadership in an AI-driven operating environment Why workflow redesign matters The future role of the healthcare consumer Timestamps: 00:00 Introduction: Michael Meucci, CEO of Arcadia 00:16 What it means to lead a healthcare data and AI company today 01:18 Why healthcare needs AI to work amid cyber threats and margin pressure 02:48 Trust, efficacy, and data integrity in healthcare AI 03:28 Why AI models need timely, complete, and transparent data 05:00 The opportunity to expand access in rural communities 05:35 Rural health transformation and the future of critical access hospitals 08:05 Leadership, workflow redesign, and changing how teams think about AI 10:27 Rethinking tools like Salesforce, EHRs, and workflow systems 12:56 What is most exciting about the next 24 months in healthcare 13:29 Rural care, data liberation, and the rise of the healthcare consumer 14:57 Closing thoughts Guest: Michael Meucci, CEO of Arcadia About Boombostic Health: Boombostic Health features conversations with the leaders, innovators, and builders shaping the future of healthcare. Hosted by Bradley Bostic, the podcast explores the ideas, technologies, and operating models transforming care delivery, diagnostics, data, AI, and patient outcomes.

Unlocking the Future of Healthcare: Diagnostics, Data, and Value-Based Innovation Healthcare transformation will not happen through technology alone. It will happen when diagnostics, data, clinical workflows, and incentives finally work together. In this episode of Boombostic Health, Bradley Bostic sits down with Gary Albers and Steve Serota for a practical conversation on how diagnostics can move healthcare from reactive treatment to proactive, value-based care. The discussion explores why laboratory medicine is often one of the most underutilized levers in healthcare, despite its ability to influence earlier intervention, better medication decisions, lower costs, and more personalized care. Gary and Steve share how health systems, payers, providers, and innovators can use diagnostic intelligence to close gaps in care, improve trust, and create measurable outcomes. From pharmacogenomics and primary care workflow redesign to AI, biometric monitoring, and payer partnerships, this episode goes beyond theory and looks at what it actually takes to make value-based care work in the real world. In this episode: How diagnostics can drive earlier, smarter, and more cost-effective care Why laboratory medicine needs a larger role in value-based healthcare strategy Gary Albers on building high-value outcomes through better diagnostic collaboration Steve Serota on turning lab data into actionable clinical intelligence Why fee-for-service adoption is slow and what is accelerating the move toward value-based models How pharmacogenomics and medication optimization can reduce avoidable costs The importance of primary care workflows in making diagnostics usable at scale How AI and continuous measurement can support more personalized interventions Why trust, privacy, and patient engagement matter in a more connected healthcare ecosystem The future of healthcare through biometrics, personalized medicine, and integrated care models Key Takeaways: Diagnostics are not just tests. They are decision-making tools that can help identify risk earlier, guide treatment, and reduce waste across the healthcare system. Value-based care requires more than new payment models. It depends on better data, stronger workflows, aligned incentives, and measurable clinical impact. The future of healthcare will be more proactive, personalized, and data-driven, but adoption will depend on trust, usability, and proving value in real-world care settings. Timestamps: 00:00 Introduction: Why diagnostics matter in healthcare transformation 01:01 Collaboration as a driver of value-based care 01:34 Gary Albers on high-value diagnostics and laboratory medicine 04:02 Steve Serota on lab data, patient outcomes, and clinical intelligence 07:19 Why value-based care adoption has been slow 08:36 Policy, incentives, and the strategic role of clinical data 10:52 Precision medicine, medication optimization, and cost savings 12:11 Measuring the impact of interventions in real time 14:05 Reimbursement models and the economics of diagnostics 15:01 Funding innovation and upfront investment in value-based care 16:12 Why primary care workflow is critical to diagnostic adoption 19:10 AI, data, and proactive healthcare decisions 22:38 Building trust with more complete patient data 27:43 Biometric monitoring, patient responsibility, and privacy 38:11 Tech giants, health plans, and the future of cost control 44:25 How diagnostics can deliver actionable, affordable outcomes 46:24 Final thoughts: Building the future through collaboration About Boombostic Health: Boombostic Health explores the people, ideas, and innovations reshaping healthcare. Hosted by Bradley Bostic, the show brings together leaders across diagnostics, data, AI, value-based care, and healthcare transformation to discuss what is working, what needs to change, and where the industry is headed next.

Unlocking the Value of Real-World Data in Healthcare This episode dives into the critical role of real-world evidence and data in transforming healthcare, emphasizing how data privacy, de-identification, and innovative tokenization unlock large-scale insights with minimal risk. Presented by industry veterans, it explores methods to responsibly utilize data for research, clinical trials, and patient care improvements, while addressing common misconceptions and trust issues. In this episode: The importance of real-world data and evidence for healthcare advancement How de-identification and tokenization protect patient privacy while enabling large-scale analysis The benefits of open source tokenization models versus proprietary solutions Practical steps to start using de-identified data for research and clinical decision-making The emerging role of AI, wearables, and consumer data in personalized healthcare The evolving landscape of data monetization, partnerships, and purpose-driven analytics Future of comprehensive data access, trust-building, and patient ownership considerations How AI accelerates insights while ensuring data quality and security Timestamps: 00:00 - Introduction: Healthcare innovation in Indianapolis & the focus on real-world evidence 00:34 - Why healthcare data privacy regulations were designed for protection, not suppression 01:03 - Industry veterans John and Julie on safe data usage and innovation 01:56 - The 18-year journey into real-world data and evidence with HC1 02:38 - How de-identification preserves privacy, scales data, and enables AI-driven insights 03:21 - The role of data in addressing diagnostic gaps and patient journeys 03:53 - The necessity of large-scale, unbiased data for research and healthcare delivery 04:50 - Explaining tokenization simply and why it matters 05:06 - The challenge of integrating data from multiple sources without bias 06:17 - How consumer wearables add depth to patient understanding 07:10 - Therapy development, clinical trials, and the power of de-identified data 07:42 - The significance of bias reduction in healthcare data analytics 08:36 - Path to monetization: Purpose-driven data use versus the race to the bottom 09:00 - The importance of aligning with organizations sharing your mission 09:48 - Clinical trials and real-world evidence improving enrollment and outcomes 10:57 - Strategies for building trust and ensuring patient security in data sharing 11:25 - Practical steps for initiating de-identification & tokenization 12:17 - Privacy-preserving record linkage & open source tokenization solutions 13:20 - The significance of rigorous de-identification processes and certification 14:13 - How tokenization connects disparate datasets without compromising identity 15:11 - Open source solutions versus commercial fee-based tokenization providers 16:45 - The importance of responsible data sharing and avoiding exploitative marketplaces 17:41 - Enhancing clinical trials with real-world evidence and reducing risks 20:13 - The impact of regulatory changes and partnerships in trials 21:06 - Enabling precision medicine through aggregated, de-identified data 22:22 - The role of CROs and third-party organizations in trial success 23:20 - Using advanced AI for device tracking, supply chain, and supply chain data 24:18 - Challenges and opportunities with physician notes and unstructured data 25:41 - The ongoing need for AI refinement and risk management in de-identification 27:02 - Addressing the potential consequences of data breaches and errors 28:41 - The technical feasibility and limitations of perfect de-identification 29:46 - Handling physician notes, abbreviations, and unstructured data responsibly 31:07 - The future of diagnostics, genomics, and embedded AI in healthcare standardization 32:07 - How tokenized, integrated data empowers providers and payers 33:13 - The importance of clean, trusted data for AI accuracy 34:24 - Personalized, real-time insights improving patient care and provider decision-making 36:47 - The untapped potential of lab and rare disease data for proactive care 38:49 - The challenge of small data scale in specialty labs and opportunities for collaboration 40:37 - Using de-identified lab data to predict disease progression and improve outcomes 43:13 - Integrating consumer wearable and biometric data into healthcare insights 44:14 - The power of personal health data for early detection and prevention 45:24 - Expanding access to EHR data and overcoming legislative barriers 47:11 - Building a culture of data ownership and creating trust with patients 48:32 - The potential influence of patient incentives, transparency, and societal changes 50:09 - Closing thoughts: Trust, purpose, and technology shaping the future of healthcare data

Cancer care has made extraordinary clinical progress, but too many patients still fall through the cracks once they leave the clinic. In this episode of Boombostic Health, Bradley Bostic sits down with Dr. Justin Bekelman, oncologist, co-founder, and CEO of Daymark Health, to discuss how value-based oncology can create a better care model for patients, providers, and health plans. After more than two decades at Penn Medicine, Dr. Bekelman left to build Daymark Health, a company that supports patients receiving active cancer treatment through in-home and virtual care. Daymark partners with health plans and works alongside each patient's oncology team to address clinical, behavioral, and social needs when and where they arise.  The conversation explores why fee-for-service often fails to support the full cancer journey, why oncology is especially suited for value-based care, and why better care requires more than coordination. It requires the ability to act. As Dr. Bekelman explains, "Cancer doesn't stop at five o'clock."  Timestamps 00:00 Welcome and personal connection to cancer prevention 03:01 Dr. Bekelman's background and why patients still fall through the cracks 05:30 What value-based care means in oncology 07:28 Why supportive cancer care is under-reimbursed in fee-for-service 09:17 How Daymark Health partners with health plans 10:32 Supporting patients at home, virtually, and at no additional cost 12:44 Episodic capitation, shared savings, and oncology economics 15:18 Why cancer care is well suited for value-based models 17:24 Daymark as the "connective tissue" around the oncologist 20:34 Why coordination alone is not enough 23:01 Daymark's work with Blue Cross Blue Shield of Rhode Island 24:08 Steven's story and why cancer does not stop at 5 PM 27:37 Patient experience, home visits, and measurable results 30:19 Why this model could become the standard for cancer care In this episode: Why cancer patients need support beyond the clinic How value-based care is being applied to oncology  Why Daymark works through health plan partnerships The difference between care coordination and clinical action How in-home care can help prevent avoidable complications Why behavioral health and social support matter in cancer treatment How better patient support can reduce total cost of care Why oncology may be one of the next major frontiers for value-based care

Diagnostics are no longer just about confirming what is wrong. They are becoming one of the most powerful tools for predicting what comes next. In this episode of Boombostic Health, Bradley Bostic leads a timely conversation with healthcare and diagnostics leaders on how real-world patient data, genomics, AI, and embedded research models are changing the way healthcare systems identify risk, close care gaps, and deliver more personalized care. The discussion moves beyond the promise of innovation and into the practical realities of adoption. How do we turn routine care into continuous learning? How do we prove the value of advanced diagnostics to payers? How do we expand access without creating new forms of bias? And how do we help patients and providers trust the data, the science, and the recommendations that follow? From home-based testing and consumer-driven care to reimbursement, incidental findings, data diversity, and health economics, this episode explores what it will take to move diagnostics from the edge of healthcare innovation into the center of everyday clinical decision-making. What You'll Learn How diagnostics are shifting from episodic testing to continuous healthcare intelligence Why real-world data is essential to predicting outcomes and improving care pathways How genomics and AI can support more personalized, proactive care What it takes to build the business case for diagnostic innovation Why reimbursement models must evolve to keep pace with scientific progress How embedded research can make routine care more evidence-driven Why patient trust, education, and transparency are critical to adoption How data diversity can help reduce bias and improve care for underserved populations Why This Conversation Matters Healthcare does not have a data shortage. It has an actionability problem. The future of diagnostics will depend on the ability to connect data to decisions, research to routine care, and innovation to measurable impact. This conversation makes the case for diagnostics as a strategic foundation for better care, smarter economics, and more equitable outcomes. Key Moments 00:00 — Why diagnostics are becoming central to healthcare innovation 02:38 — Embedding research into routine care 04:17 — Using data to predict health outcomes 06:10 — Making the case for payer coverage and cost savings 09:58 — Bringing diagnostic models into clinical workflows 11:14 — The rise of home-based and consumer-driven testing 14:23 — Managing incidental findings responsibly 17:34 — Connecting diagnostics to health economics 24:07 — Addressing disparities, access, and data bias 27:33 — Moving from research to routine clinical care 32:39 — Empowering patients through health technology Featured Topics Real-world evidence Personalized medicine Genomics and AI Diagnostic innovation At-home testing Reimbursement and payer coverage Health economics Data diversity and bias Patient engagement Clinical workflow integration Resources hc1  uMed  Simple HealthKit Closing Thought The next era of healthcare will not be defined by more testing alone. It will be defined by whether diagnostics can help turn real-world data into earlier action, better decisions, and measurable improvements in care.

The hospital room is becoming intelligent. In this episode of Boombostic Health, Bradley Bostic sits down with Adam McMullin, CEO of AvaSure, to discuss how AI-enabled virtual care is helping health systems improve patient safety, support nurses, and extend clinical capacity without losing the human touch. AvaSure pioneered virtual safety and is now helping hospitals move beyond pilots into scalable, ROI-driven care transformation. Adam shares how intelligent room technology, computer vision, virtual nursing, and open platform integrations are changing what care teams can see, how quickly they can act, and where scarce clinical resources can be used most effectively. The conversation gets into the real pressures facing health systems today: patient falls, ED boarding, documentation burden, specialty access, workforce shortages, and the rising issue of violence against care teams. This is not a conversation about AI replacing clinicians. It is about using AI and virtual care infrastructure to give clinicians better visibility, better support, and more time with patients. Key Topics Virtual safety and the future of patient observation How intelligent rooms can reduce risk and improve workflow Why hard-dollar ROI matters for scaling healthcare technology The role of AI, computer vision, and virtual nursing in care delivery How AvaSure is helping health systems bring more human connection back into care Key Takeaway The future of hospital innovation is not more disconnected technology. It is intelligent infrastructure that helps care teams act sooner, work smarter, and care better.

Transforming Diagnostics: Unlocking Value in the Future of Healthcare In this episode of Boombostic Health, Bradley Bostic sits down with Robert Michel, founder of Executive War College and editor-in-chief of The Dark Report, for a wide-ranging conversation on the past, present, and future of laboratory diagnostics. From the origin story behind Executive War College to the rise of genomics, AI, remote monitoring, and personalized medicine, Robert shares why diagnostics are far more than a line item in healthcare spending. They are one of the most powerful levers for improving outcomes, reducing cost, and helping health systems act earlier. The conversation explores how lab data can move from being underused information to a strategic asset that supports better decisions across maternal health, chronic disease, medication optimization, aging in place, and preventive care. In this episode Bradley and Robert discuss: Why the name Executive War College reflects the strategic decisions lab leaders face How genomics has evolved from early PCR testing to affordable whole-genome sequencing Why diagnostics are central to early detection, patient monitoring, and better outcomes How proactive lab-driven interventions can reduce avoidable healthcare costs Why lab services are often viewed as a cost center despite their impact on total medical spend How labs can become strategic partners by turning data into actionable insight The role AI may play in faster, more precise diagnostic decision-making How wearables, remote monitoring, robotics, and personalized health data could reshape care Why nutrition, microbiome, lifestyle, and prevention are becoming harder to separate from healthcare What longevity research and Blue Zones can teach us about healthspan Why early adopters and innovation communities matter in advancing healthcare transformation Key takeaways Diagnostics are no longer just about test results. They are becoming a strategic intelligence layer for healthcare. Lab data has the potential to help health systems identify risk earlier, intervene sooner, and reduce avoidable cost. The future of healthcare will be shaped by the convergence of diagnostics, AI, remote monitoring, personalized medicine, and more proactive care models. Timestamps 00:00 — Why "Executive War College" became the name and what it signals about lab leadership 02:09 — The evolution of genomics technology since 1995 04:49 — From genetic research to practical diagnostic applications 06:14 — Unlocking the value of lab data for outcomes and cost savings 09:57 — How proactive lab testing can improve maternal and neonatal health 12:56 — Addressing anemia, medication optimization, and other preventable gaps 16:54 — The future of diagnostics, AI, and rapid medical insight 17:43 — Biometric wearables, holistic health, and extending healthspan 20:08 — Nutrition, microbiome, and the shift toward preventive care 25:38 — Lessons from Blue Zones on diet, longevity, and lifestyle 27:24 — Robotics, AI, and aging-in-place care models 32:02 — The future of pharmaceuticals, longevity, and space-age innovation 33:08 — Why innovation communities and early adopters drive progress  

Are we really close to catching pancreatic cancer early? This silent killer still kills 75% within the first year of diagnosis. But what if we could spot clues before it becomes deadly? Transforming Pancreatic Cancer Detection with Amplified SciencesIn this episode, Bradley Bostic hosts Diana Caldwell, CEO and co-founder of Amplified Sciences, to explore groundbreaking advancements in early detection of pancreatic cancer. Given the devastating prognosis of late-stage diagnosis, their discussion highlights how innovative diagnostics can shift the paradigm towards earlier, less invasive screening—saving lives and improving outcomes.Main insights: The dire statistics of pancreatic cancer survival rates highlight an urgent need for better screening. Amplified Sciences has developed a multi-omics approach that detects precancerous cysts, much like colon polyps, allowing preemptive intervention. The current standard, often reactive, diagnosis leads to late-stage detection; the new method aims to identify risks before symptoms appear. They discuss the importance of high negative predictive value (NPV) to rule out malignancy non-invasively. The platform uses minimal cyst fluid — only 10 times less than existing tests — crucial for small lesions. The approach combines various biomarkers (proteomic, enzymatic, genetic) to improve accuracy. Blood-based screening for early detection remains challenging, but amplification of fluid samples offers more precise insights. Regulatory milestones, like CAP accreditation, position Amplified Sciences for wider clinical adoption. Payer and coverage discussions are ongoing but vital for making this technology accessible. The episode emphasizes how technological innovation, multidisciplinary collaboration, and early detection can revolutionize pancreatic cancer care. Timestamps: 00:11 - Introduction and personal story highlighting the importance of early cancer detection 01:08 - Diana Caldwell's background and motivation to improve gastroenterology diagnostics 04:38 - The science behind Amplified Sciences' diagnostic platform and research origins 07:27 - Current challenges in pancreatic cancer diagnosis and the limitations of standard tests 09:18 - Understanding the brutal statistics and silent progression of pancreatic cancer 10:12 - How genetic factors and incidental screening can identify high-risk individuals 12:41 - The patient journey: from incidental detection to invasive procedures and unmet needs 14:15 - The role of the PANSIS Pro test, regulatory milestones, and sample requirements 16:03 - Differentiating between benign cysts and pre-malignant lesions like IPMN 17:24 - The significance of multi-omic diagnostics and reducing unnecessary surgeries 21:18 - Screening strategies: incidentally detected lesions and the importance of size and location 24:04 - Limitations of current biomarkers like CA 19-9 and the promise of multi-marker panels 26:02 - The unique approach of liquid-focused diagnostics versus traditional blood tests 29:18 - Reimbursement hurdles and the importance of demonstrating clinical utility 32:13 - The mental health impact of uncertain diagnoses and proactive testing benefits 33:55 - The vision for a future where early detection becomes routine and standard careResources & Links: Resources & Links: Amplified Sciences Official Website: https://amplifiedsciences.com/ Connect with Diana Caldwell on LinkedIn: https://www.linkedin.com/in/dianathompsoncaldwell/ This episode underscores the power of innovative diagnostics to intercept pancreatic cancer early, transforming a deadly prognosis into manageable health outcomes. It highlights the collaborative effort needed across research, regulation, and healthcare platforms to ensure these breakthroughs reach patients.

How Health Gorilla is Transforming Healthcare Data Interoperability This episode dives into the story of Health Gorilla and its founder, Bob Watson, revealing how innovative approaches are tackling one of healthcare's most persistent problems: data interoperability. With decades of experience, Bob shares strategic insights and the evolving landscape that is shaping the future of healthcare information exchange.In this episode: Bob Watson's background at Cerner and lessons from early interoperability efforts The evolution of data blocking strategies and shifting industry tactics How TEFCA's implementation is creating new momentum for healthcare data sharing The core value propositions behind Health Gorilla's platform The importance of high-quality, AI-ready healthcare data Challenges and opportunities in integrating medical images into electronic sharing How legacy systems are connected through Health Gorilla's architecture The role of government regulation and penalties in driving compliance The vision for a future where healthcare data is seamless, actionable, and patient-centric Timestamps:00:00 - Introduction to Bob Watson and the origins of Health Gorilla 00:08 - Bob's experience at Cerner and pioneering early health IT initiatives 00:32 - Building the Connected Community and lessons from early EHR adoption 00:58 - Data blocking strategies in the 90s and their impact on interoperability 01:44 - Bob's transition to turnaround leadership and lessons from multiple engagements 02:15 - The importance of the right team and strategic focus for tech companies 02:28 - Narrowing down core customer profiles and target markets 02:43 - Focus on Epic, Cerner, and e-clinical work as key interoperable systems 03:07 - Value-based care and the role of data in Medicare Advantage programs 03:26 - Developing private lab networks and new use cases under TEFCA 03:52 - How TEFCA's implementation increases data exchange traffic 04:21 - Facilitating patient data access and reciprocity in information sharing 04:48 - Industry impact of data blocking lawsuits and regulatory changes 05:13 - The federal push for interoperability akin to the HITECH Act 05:39 - Penalties and non-compliance consequences as enforcement tools 06:01 - Delivering high-quality, actionable data for AI and clinical decision-making 06:23 - Personal story: navigating healthcare data transfer challenges as a patient 06:45 - The future of incentivizing interoperability through economic measures 07:07 - Infrastructure at the endpoints vs. legacy system dependencies 07:25 - Delivering consumable, easy-to-interpret data for busy clinicians 07:53 - Reducing care gaps through comprehensive, uniform health records 08:18 - The importance of high-certainty data for AI training and predictive care 09:02 - How Health Gorilla's curated, accurate data supports advanced AI applications 09:41 - Bob's return from retired life to address relentless interoperability challenges 10:26 - The evolving role of images and challenges in flowing medical imaging data 11:11 - Vendor issues and technical constraints in transmitting medical images 11:27 - The goal to improve data quality and flow from legacy systems like Meditech 11:51 - Connecting all legacy networks for comprehensive data sharing 12:05 - The potential for Health Gorilla to be a significant player in healthcare interoperability 12:29 - The importance of government support—sticks and carrots—in fostering industry change 12:42 - Closing thoughts: the future of seamless, actionable healthcare data  

Insights from Eric Strafel of Molecular Testing LabsDiscover how industry veterans are reshaping healthcare through innovative diagnostics, integrating systems thinking, and leveraging AI. In this episode, Eric Strafel discusses the intersection of aerospace principles with healthcare, the future of home testing, and the power of diagnostics as the healthcare data engine. Key Topics: Transition from aerospace innovation to healthcare diagnostics and systems thinking The balance between structured processes and innovation in lab operations How program management practices from defense are transforming healthcare workflows The role of diagnostics in unlocking personalized, data-driven care Impact and evolution of home testing post-pandemic Bridging consumer health and traditional care with digital health tools AI's role in automating workflows and enhancing patient engagement The future of diagnostics as the foundational infrastructure of healthcare Leadership strategies for agility, innovation, and scaling in healthcare labs The importance of early diagnostic engagement for healthy aging Timestamps: 00:00 - Introduction to Eric Strafel and his transition from aerospace to healthcare diagnostics 02:24 - The importance of systems thinking and process robustness from aerospace in healthcare 03:17 - Impact of program management practices in healthcare labs 04:37 - The role of diagnostics in addressing barriers to testing and care engagement 05:24 - The evolution and future of home testing post-pandemic 07:15 - The integration of consumer-centered health and traditional care through digital tools 07:35 - How AI automates lab workflows and improves capacity 09:06 - The vision of diagnostics as the data engine powering personalized healthcare 10:24 - The critical role of diagnostics in the future of healthcare data ecosystems 11:13 - The importance of early diagnostics for healthy aging 12:11 - Leaders' focus on innovation, agility, and scaling in the diagnostic industry Resources & Links: Molecular Testing Labs Eric Strafel LinkedIn

Colorectal cancer is rising fast, especially among younger populations, and one of the biggest problems is not treatment. It is missed screening. Recorded live at ViVE in the Diagnostic Zone, Eliad sits down with Jay Sidgreaves of New Day Diagnostics to talk about ColoHealth, an FDA-approved blood-based colorectal cancer screening test designed to help close one of the most urgent gaps in healthcare: getting more people screened before it is too late. Jay explains why FDA approval matters, why accessibility matters even more, and how diagnostics is moving toward a future where consumers play a much more active role in their care. This conversation also gets into where healthcare is headed next, from blood-based testing and digital platforms to AI-enabled patient education and a more consumer-driven diagnostic experience. This is not just a conversation about one test. It is a conversation about where diagnostics, prevention, and patient behavior are heading next. What this episode covers: Why colorectal cancer screening remains a major gap in healthcare Why blood-based testing could improve access and participation What FDA approval signals to patients, providers, and markets How consumer-driven diagnostics are changing healthcare Why digital health and AI will reshape the patient experience

Transforming Healthcare Access with Simple Health Kit and Mark Cuban Partnership Discover how Dr. Sheena Menezes and Simple Health Kit are revolutionizing healthcare through community-centered platforms, innovative lab kits, and a strategic partnership with Mark Cuban's Cosplus Pharmacy. This episode details the vision for equitable access and the integration of technology in healthcare. In this episode:  The foundation and mission of Simple Health Kit in providing accessible healthcare How the platform partners with enterprises to engage underserved populations The significance of Mark Cuban's Cosplus Pharmacy partnership and its impact on medication affordability The origin story of Sheena Menezes: from Kuwait refugee to healthcare innovator The role of digital and physical channels in delivering health kits and lab testing Vision for the future: bringing high-quality, personalized healthcare to rural and underserved areas The importance of primary care access, especially in rural health settings The influence of technology, including AI and community-focused models, in preventive care Timestamps: 00:00 - Welcome and overview of Simple Health Kit's mission 00:36 - How Simple Health Kit puts individuals at the center of care 01:43 - Major announcement: partnership with Mark Cuban's Cosplus Pharmacy 02:08 - Benefits of the partnership for medication access and affordability 02:53 - Sheena Menezes' inspiring origin story 03:21 - The drive to bring care to those who need it most 03:53 - The growth and scale of Simple Health Kit over seven years 04:16 - How patients can access Simple Health Kit products via health plans, stores, and online 04:45 - Physical in-store health kits and direct-to-consumer options 05:04 - The range of lab testing available: diabetes, kidney, cancer, STI 05:24 - Strategic channels: payers, providers, and pharmacies 05:28 - Vision for universal healthcare access in the next decade 06:03 - Focus on high-level, concierge care in underserved areas 06:32 - Exciting future developments and Mark Cuban connection Resources & Links: https://www.simplehealthkit.com/ Connect with Dr. Sheena Menezes:   / sheenamenezes  

Show Notes What if the most valuable data in healthcare has been sitting in plain sight the entire time, buried inside millions of clinical notes no one can actually use? Live from ViVE, Marcus Gordon sits down with Dr. Tim O'Connell, co-founder and CEO of Emtelligent and a practicing radiologist, for a conversation about one of the biggest blind spots in modern healthcare: unstructured data. Dr. O'Connell breaks down why health systems are overflowing with information yet still starving for actionable insight, and why unlocking clinical notes at scale could change everything from patient care to cost control to real-world evidence. This episode gets into the real tension behind AI in healthcare. The technology is moving fast, but the stakes are too high for blind automation. Diagnoses, claims, treatment decisions, and chart review cannot become black-box exercises. Dr. O'Connell makes the case for clinician-led AI, where humans stay firmly in control and technology does what it does best: surface critical information faster, more accurately, and at scale. The conversation also explores why radiology has long been seen as a digital pioneer, why AI adoption in clinical workflows may actually be moving faster than in imaging, and what it will take for health systems, payers, and life sciences companies to responsibly share data in ways that improve care without compromising trust. This is a conversation about where healthcare is actually headed, not in theory, but in practice. In this episode: Why an estimated 80% of healthcare data lives in unstructured clinical notes The real reason health systems are data rich but insight poor Why human-in-the-loop AI is non-negotiable in healthcare How AI-assisted chart review can reduce friction for clinicians Why radiology may not be the AI leader people assume it is What better data sharing could mean for cost, quality, and real-world evidence Why the future of healthcare depends on turning documentation into decisions  

Healthcare has talked about AI for years. What feels different now is that the conversation is finally moving toward practical use cases. In this episode of Boombostic Health, Marcus Gordon sits down with Dr. Luke Hansen of Arcadia at HIMSS to discuss where AI is beginning to create real value in healthcare. They explore how AI can help expand access, support care teams, surface more meaningful patient context, and identify rising risk earlier. This conversation goes beyond the usual hype. Dr. Hansen explains the difference between tools that improve efficiency, like summarization and documentation support, and the more meaningful long-term shift toward predictive and agentic capabilities that could reshape care delivery. For healthcare leaders, operators, and innovators trying to separate real operational value from noise, this is a thoughtful conversation worth watching. In this episode: Why healthcare AI is becoming more practical How AI can help expand access to care The shift from summarization to predictive and agentic tools Why trust and safeguards matter more than hype What healthcare leaders should watch as adoption evolves  

Boombostic Health — Live from ViVE 2026 Healthcare doesn't have a clinical excellence problem. It has an operations problem. In this episode of Boombostic Health, Bradley Bostic sits down with Dr. David Atashroo of Qventus to unpack the hidden layer of healthcare that determines whether care actually works: care operations. The United States leads the world in clinical innovation, yet patients still experience delays, canceled procedures, repeated paperwork, and fragmented care. Why? Because the real breakdown in healthcare happens outside the exam room — in scheduling, care coordination, surgical preparation, discharge planning, and the countless operational tasks that surround clinical care. Dr. Atashroo explains how AI is beginning to transform that operational layer by proactively identifying care gaps, coordinating workflows across the care continuum, and ensuring patients get the right care at the right time. Instead of adding more dashboards or tools, AI can become the system that orchestrates care itself. If healthcare is going to improve outcomes, reduce costs, and restore clinician capacity, the next frontier isn't better clinical tools. It's fixing the operations of healthcare. In this episode • Why healthcare's biggest failures are operational, not clinical • How AI can coordinate care across the entire patient journey • Why value-based care struggles to execute in real health systems • How AI can proactively close care gaps and identify risk • The future of AI as the operating layer of healthcare Key insight "If you can make the right thing to do the easy thing to do, you advance value-based care."

Episode Summary Recorded live at ViVE 2026 in Los Angeles, Bradley Bostic sits down with Dave Newman (Digital Health) and Brad Reimer (CIO) from Sanford Health to explore how one of the nation's largest rural health systems is redefining care delivery. Serving 2 million patients across 320,000 square miles, Sanford Health is proving that innovation doesn't only happen in major urban health systems. From virtual care infrastructure funded by a $350M investment to AI tools that restore the human connection between doctors and patients, Sanford is building a new model for rural healthcare. The conversation explores how virtual care, AI, and data governance are helping clinicians spend more time with patients while expanding access across the Upper Midwest. A key insight: technology works best when it returns healthcare to what matters most — the relationship between doctor and patient.

Recorded live at ViVE, Marcus Gordon guest hosts for Bradley Bostic and talks with Amy Gleason about where healthcare AI is actually headed—and what has to be true for it to work. We've been "empowering patients" for a long time in theory. AI is the first thing that's made it feel real at scale. But Amy makes a key point: if AI doesn't have the right data under it, it's basically just a faster version of "Dr. Google." This episode gets into interoperability, why standards still matter, what privacy and consent should look like in plain English, and how patients could use AI to navigate care anytime—like a Saturday night when you're not sure if something is urgent. Amy also shares a personal story about her daughter using AI to review old records, spot a misclassification, and reopen a path into a clinical trial. It's a great reminder: the future isn't just chatbots. It's access + context + trust. What you'll hear Why AI is finally making patient empowerment real The "Dr. Google" problem (and how to get past it) Why interoperability is the foundation for personalized AI Why standards like FHIR still matter What "clear consent" should look like for patients How AI can surface insights buried in years of medical history What healthcare could look like when patients can get help anytime    #ai #healthcare #digitalhealth #patientempowerment #healthcareinnovation #healthcarepolicy #healthcaretechnology #ViVE  

Show Notes Recorded live at ViVE, Bradley Bostic sits down with Aneesh Chopra, the first Chief Technology Officer of the United States, entrepreneur, and former Obama administration tech leader who helped open up Medicare data to the public. This conversation explores what happens when government transparency, private-sector innovation, and AI collide. Aneesh shares: Why "open data" in healthcare became the default and why it was always bipartisan How his company CareJourney turned Medicare data into physician performance intelligence and why it mattered What "outcomes as a service" could mean for the next era of payment reform A real-world example of AI voice agents helping a medical center jump from 2 to 4 Stars in 90 days Why actuarial math alone won't scale value based care The concept of a "health information fiduciary" aligned with patients, not billing codes How AI front ends could deliver high-touch engagement to every patient, not just the highest risk 10 to 15 percent Aneesh makes a bold claim: We constrain care today because it is labor intensive. But if AI agents can deliver hundreds of touchpoints per week, escalate when necessary, and guide patients along protocol driven pathways, value based care becomes abundant and scalable at a fraction of the cost. He is not talking about theory. He is already using conversational AI to securely summarize his own medical record and labs. The infrastructure is here. The data is open. The agents are live. The only question is whether we will align incentives fast enough to let this scale.

Blood Health Is the Bottleneck (with Sherri Ozawa) — World Anemia Awareness Day Special Summary Ahead of World Anemia Awareness Day (Feb 13), we're resurfacing a timely conversation with Sherri Ozawa, Director of Clinical Operations and Delivery at hc1, on blood health and Patient Blood Management (PBM). We unpack why blood health is often overlooked, where decisions break down in real workflows, and what it takes to make PBM programs stick. Note: This is an updated video cut. Audio is unchanged from the original release. In this episode PBM in plain English: what it is and why it matters Why anemia and iron deficiency are often missed Where blood-related decisions break down (screening, handoffs, follow-through) What "good" looks like when PBM is built into workflow—not added on Practical steps teams can take to improve consistency and execution About the guest Sherri Ozawa is the Director of Clinical Operations and Delivery at hc1. She works at the intersection of clinical execution and operational adoption—helping teams turn good ideas into repeatable workflows. Resources World Anemia Awareness Day: https://worldanemiaawareness.com/ ASPBM: https://aspbm.net/ CAP TODAY (Aug 2025): https://www.captodaymag.com/captoday/... Disclaimer This episode is for informational purposes only and is not medical advice.

Insurance funded therapy often ends fast. Recovery does not. In this follow up episode, Bradley Bostic talks with Chris Leeuw, CEO of NeuroHope, about the "rehab cliff" facing spinal cord injury, brain injury, stroke, and MS patients when they leave inpatient care and quickly run out of covered visits. Chris shares what NeuroHope is building in Indianapolis to keep recovery going: a model that blends skilled therapy, trained kinesiologists, adaptive fitness, and a true community so patients can continue progressing long after insurance stops paying. They also unpack the expanding vision behind the Driven Neuro Recovery Center, developed with the Conquer Paralysis Now, and why this kind of recovery ecosystem is becoming essential infrastructure for the disability community. In this episode, you'll learn Why "30 visits" is not neuro recovery How NeuroHope makes long term therapy more affordable after coverage runs out What's changed since last year including 30 percent growth in services Early outcomes from a two year study tracking complications and readmissions Why community is often the difference between surviving and thriving What's emerging in rehab tech including trans spinal stimulation and what it could unlock The bigger campus vision and what partners could help make possible Help NeuroHope close the rehab gap If you believe recovery should not end when insurance does, here are three simple ways to help: Watch and share this episode Send it to one person navigating stroke, spinal cord injury, or brain injury recovery, or to a clinician who needs a better option to refer to. Support NeuroHope's mission NeuroHope relies on community support to keep long term therapy accessible after coverage runs out. If you're able, consider donating or becoming a sponsor. Partner in Indianapolis NeuroHope is building a broader recovery ecosystem and is looking for aligned partners across adaptive sports, mental health, vocational rehab, DME, and innovative rehab technology. Guest Chris Leeuw is the CEO of NeuroHope, focused on expanding access to long term neuro recovery through therapy, wellness, and community.   View the NeuroHope Wellness Center: https://www.youtube.com/watch?v=0k5p3kLL2_A Learn more about NeuroHope: https://www.neurohopewellness.org/

🤔 Did you know that 30-50% of Americans lack access to primary care? That's a staggering number! Bradley Bostic sits down with Matthew Holt (The Health Care Blog) for a blunt diagnosis of what's broken in U.S. healthcare and a concrete, numbers-driven proposal to fix it. Holt doesn't just complain. He names incentives, calls out the money flows, and lays out a primary-care "voucher" model designed to cut downstream costs while making primary care a top-tier, high-status job again. If your organization is still treating primary care like a loss leader and "leakage" like a KPI, this one will sting (in the right way). Timestamps 00:00 – 01:20 HLTH 2025 setup + dark humor about "keeping subscribers alive" 01:20 – 05:30 Holt's blunt system diagnosis + "nonprofit" and executive pay critique (UPMC example) 05:30 – 08:45 Primary care access crisis + why the ER becomes the default front door 08:45 – 10:50 "Leakage" + the referral-engine reality inside employed primary care 10:50 – 13:15 The concierge-for-all voucher model (the simple math) 13:15 – 16:30 Bradley connects it to value-based care + incentive shifts 16:30 – 18:10 Wrap: fewer complaints, more solutions + where to follow Holt   What you'll hear Why the U.S. system is expensive by design — and why consumers carry the anxiety. The uncomfortable truth about "nonprofit" health systems, executive comp, and transparency. How primary care got turned into a referral engine for high-margin services.  Holt's two-step path to reform, including a "concierge-for-all" model with simple math behind it. Where this intersects with value-based care… and where today's versions still fall short. To learn more about The Healthcare Blog, visit here: https://thehealthcareblog.com/blog/category/health-tech/matthew-holt/

Guest: Fawad, Founder & CEO, Penguin AI (former CDO/data leader across major payer/provider organizations) Healthcare isn't broke because we lack innovation. It's broke because we spend a staggering amount of money moving paper, arguing over rules, and chasing "documentation" instead of outcomes. From the HC1 booth at Health 2025 in Vegas, Bradley sits down with Fawad—a veteran healthcare data operator turned founder—to talk about the real enemy: administrative waste at trillion-dollar scale… and why slapping GPT on top of messy systems just gives us a confident-sounding parrot. Penguin AI is building an AI-first healthcare platform designed to run workflows end-to-end across payers and providers—prior auth, revenue cycle, claims, coding, and more—without forcing teams to become AI engineers. What you'll hear in this episode Why "AI in healthcare" is mostly theater if your data is fragmented, dirty, and politically guarded The uncomfortable truth: administration is the cost center eating the system alive Why GPT can sound brilliant and still be dangerously wrong ("a very smart fairy") The case for healthcare-specific platforms (not generic clouds + hope) Why "payer vs provider" is an outdated segmentation—and processes prove it Founder reality: leaving big-title comfort for the zero-to-one grind The Penguin story: branding that grabs attention and signals how hard healthcare change really is Key takeaways 1) If your AI strategy starts with a chatbot, you're already late. Start with the workflow. Start with the administrative bottlenecks. Then decide what intelligence belongs inside. 2) "Dr. GPT" is confident, not accountable. Fawad's warning is simple: models generate plausible language from what they've seen. In healthcare, plausible can still be wrong—and wrong has consequences. 3) The real prize isn't automating tasks. It's removing friction across the payer–provider boundary. Prior auth doesn't "belong" to one side. Neither does claims. Neither does adjudication. The process crosses the membrane—so the platform has to, too. 4) Healthcare doesn't need more AI demos. It needs clean, longitudinal records and execution. Better models require better inputs—and partnerships that unlock high-quality, de-identified, longitudinal patient data for real learning (not internet noise). Notable moments (timestamps) 00:00 — Live from Health 2025 in Vegas: meet Fawad, founder of Penguin AI 00:26 — From big-company data leadership to startup founder 01:48 — The brand: why "Penguin" (and why most tech names are nonsense) 04:34 — The core problem: admin work at massive scale (prior auth, claims, RCM, scheduling) 06:00 — "Dr. GPT": why it sounds right even when it's wrong 07:31 — Funding + momentum: Penguin's Series A and growth 08:00 — Building better clinical intelligence requires real healthcare-grade data 09:28 — Operator-to-founder: why more insiders need to jump into the arena 11:50 — What Penguin actually does: agents, customization, and "platform-level" scale 14:05 — Why payer vs provider is a false divide Who this episode is for Health system and payer leaders drowning in prior auth, claims, RCM, coding, and operational drag Operators skeptical of hype who want real automation + measurable cost reduction Founders building AI in healthcare who are ready to confront the data + workflow reality Investors looking for platforms that can win beyond "pilot purgatory" Call to action If your team is "doing AI" but still living inside manual workflows, this is your wake-up call: Stop demo-chasing. Start workflow-owning. 🎧 Watch/listen to the full episode: https://youtu.be/j_Fsuy-BfTM 📌 Learn more about Penguin AI: https://www.penguinai.co

IU Health CEO Dennis Murphy joins Bradley Bostic to unpack what it takes to drive innovation at scale—across 16 hospitals and 300+ clinical sites. They cover values-based culture, platform-first AI strategy, statewide data collaboration, philanthropy as a "margin of excellence," and IU Health's new flagship campus—set to see its first patients in December 2027.   Chapters 00:00 Introduction to Healthcare Innovation 01:56 Leadership and Organizational Values 04:50 Flagship Hospital Project Overview 08:18 Optimism in Healthcare 12:08 Technology and AI in Healthcare 17:40 Philanthropy and Community Impact 23:13 Data Utilization in Healthcare 28:37 Personalization of Healthcare Experience 34:53 Future of IU Health and Closing Remarks   In this episode of the Boombostic Health podcast, host Bradley Bostic interviews Dennis Murphy, CEO of IU Health, discussing his extensive experience in healthcare leadership, the importance of organizational values, and the innovative projects at IU Health, including a new flagship hospital. They explore the optimism surrounding advancements in healthcare technology, the role of philanthropy in enhancing patient care, and the significance of data aggregation in improving health outcomes. The conversation emphasizes the need for personalized healthcare experiences and the future of healthcare delivery.   Takeaways Dennis Murphy has a diverse background in healthcare leadership. Organizational values are crucial for guiding employee behavior. Philanthropy plays a significant role in enhancing healthcare programs. Technological advancements are improving patient outcomes significantly. Data aggregation is essential for effective healthcare delivery. IU Health is focused on attracting top talent in the healthcare industry. The new flagship hospital aims to consolidate resources and improve care. Healthcare innovation is driven by both institutional providers and entrepreneurs. Personalized healthcare experiences are becoming increasingly important. Optimism in healthcare is fueled by ongoing advancements and creative solutions.

At-home diagnostics isn't "a kit." It's an operating system. From the outside, it looks simple: order → kit arrives → collect → mail back. Behind the scenes, scaling that experience requires automation, reliability, and speed. In this conversation, Jeff Shattuck explains how DOT Corp uses automation, robotics, and AI to reduce the time from order to shipment, expanding what's possible for home diagnostics and precision medicine. Key moments DotCorp transitioned from printing to healthcare logistics. AI and robotics are streamlining healthcare processes. At-home testing is becoming more prevalent post-COVID. Less invasive testing methods are emerging. Precision medicine will rely on at-home diagnostics. Accountable care programs are driving demand for home testing. Collaboration with major labs enhances service delivery. The healthcare landscape is rapidly evolving. Patient empowerment is key in modern healthcare. Future innovations will focus on accessibility and efficiency. Chapters 00:00 The Entrepreneurial Journey of DotCorp 05:19 Transforming Diagnostics: Home Testing Revolution 07:46 The Future of Precision Medicine and Home Testing Connect Jeff Shattuck: https://www.linkedin.com/in/jeffoshattuck/ Bradley Bostic: https://linktr.ee/BradleyBostic Boombostic Health: https://www.boombostichealth.com/  

Show Notes Healthcare keeps talking about AI, affordability, and outcomes… But most systems are still ignoring the front door that drives care decisions: diagnostics. Recorded In the Wild at HLTH 2025 in Las Vegas, Bradley Bostic sits down with James York (Chief Commercial Officer + Head of Government Affairs, Molecular Testing Labs) to unpack a hard truth: If you can't make testing accessible, convenient, and trackable… you can't build reliable care pathways. In this episode, James breaks down why diagnostics is a flywheel—the top-of-funnel that activates patients—and why "we have Quest/Labcorp, so we're good" is the exact mindset keeping innovation stuck. He also shares how Molecular Testing Labs attacked the hardest access problem first (HIV/STI), what happened when they removed friction from PrEP care, and why lab-based at-home testing matters because it protects the integrity of the data (not just the experience). You'll also hear a forward-looking take on self-collection, routine testing for chronic disease + wellness, cost transparency, and where AI could take us next—toward forecasting health like we forecast weather. What you'll learn: Why James calls diagnostics "the flywheel" for activating patients The two stats that should change how leaders budget for labs ("70% of clinical decisions" vs "7% of spend" — as James cites) Why self-collected, lab-processed testing beats "rapid-only" testing when data/reporting matters How at-home testing can reduce stigma and improve public-health surveillance What "patient-as-decision-maker" healthcare could look like in the next 5–10 years If you care about prevention, care gaps, data integrity, and making healthcare actually work for more people—this one's for you. Chapters 00:00 — Boombostic Health "In the Wild" @ HLTH 2025 (Vegas) 00:45 — Baseball dads, real life, and the cost of ambition 02:05 — "Everyone should have access to diagnostics" (mission) 03:00 — Why the "Diagnostic Zone" is a signal moment 04:30 — The stat gap: labs drive decisions, not spending 05:45 — Why they started with HIV/STI (the hardest use case) 07:30 — Self-collection scale + what it unlocked for access 08:10 — PrEP friction: stigma + testing barriers (and the unlock) 09:45 — The Abbott at-home multiplex test: what's new + why it matters 11:05 — Rapid vs lab: the real issue is data integrity + reporting 12:40 — What's next: routine tests, chronic disease, wellness expansion 16:15 — AI, avatars, and "forecasting health like weather" 18:10 — Bradley's lens: signals, patterns, and getting patients on the right interventions 20:34 — Wrap + why data in will determine everything #BoombosticHealth #HLTH2025 #Diagnostics #MolecularDiagnostics #LabTesting #PreventiveCare #AtHomeTesting #PublicHealth #CareGaps #HealthcareInnovation #DigitalHealth #AIinHealthcare #PrEP #STITesting

Summary Healthcare is racing to be "AI ready." But most of the industry is still trying to turn billing exhaust into strategy. In this episode, Bradley Bostic sits down with Ryan Leurck, Co-Founder & Chief Analytics Officer at Kythera Labs, to cut through the noise and get blunt about what actually makes AI work in healthcare. Because the truth is simple—and uncomfortable: If your data can't be trusted by humans, it can't be trusted by AI. And in healthcare, much of our data was never designed for the questions we're now demanding it answer. Takeaways Why claims, EHR, and lab data weren't built for strategy—and how that limits AI. The risk of modern AI: "AI is not always right, but it always sounds sure." Why healthcare data is still optimized for coding and billing, not predictive insight. Kythera's mission to "reduce the uncertainty in the use of healthcare data." How leaders should think about "AI ready" without falling for hype. The reality of claims: a "big bag of receipts" that can mislead without expert context. Why data quality and missingness matter as much as the data you do have. A practical vision for AI inside provider orgs: agents that function like analysts/interns, not decision-makers.   Chapters 00:00 Introduction to AI in Healthcare 01:23 Ryan Leurck's Journey from Aerospace to Healthcare 03:22 The Current AI Landscape and Its Misconceptions 06:54 Kythera Labs: Reducing Uncertainty in Healthcare Data 11:13 Challenges of Healthcare Data and AI Integration 18:03 Opportunities for AI in Healthcare 22:52 Kythera's Target Audience and Solutions 27:41 The Role of AI in Operational Efficiency 31:18 Data Privacy and Accessibility in Healthcare 34:30 The Future of AI in Healthcare   Keywords AI, healthcare, data analytics, machine learning, healthcare technology, Kythera Labs, artificial intelligence, data quality, healthcare providers, operational efficiency  

Summary By the time most people hear "dementia," their brain has been sounding the alarm for years. In this episode of Boombostic Health, Dr. John Showalter shares his journey from internist to healthcare technology innovator. He explains how AI and digital tools can support early detection and intervention for cognitive decline—before daily life starts to fall apart. The conversation highlights how lifestyle changes can improve cognitive health, why screening the brain should be as routine as checking blood pressure, and how integrating technology into healthcare systems can scale better outcomes. Real-life success stories show what's possible when you catch problems early and give people a path to act. Takeaways Dr. Showalter's journey from medicine to healthcare technology is inspiring. AI can enhance caregiver efficiency and patient care. Early detection of cognitive decline is crucial for effective intervention. Lifestyle changes can significantly impact cognitive health. Integration of technology into healthcare systems is essential for scalability. Personalized brain health action plans can improve patient outcomes. Social isolation and loss of purpose are key factors in cognitive decline. Real-life success stories demonstrate the effectiveness of early intervention. Healthcare innovation requires collaboration between technology and clinical expertise. The future of cognitive health lies in proactive, lifestyle-based approaches.   Chapters 00:00 Innovating Healthcare: A Journey into Technology 02:39 The Role of AI in Patient Care 05:34 Cognitive Health: Early Detection and Intervention 08:24 Lifestyle Changes and Cognitive Decline 11:07 Integrating Technology into Healthcare Systems 14:08 The Future of Cognitive Health and AI 17:03 Real-Life Success Stories in Cognitive Health About Dr. Showalter Dr. John Showalter is an internist and clinical informatics leader who has been obsessed with the data side of care since his first DNA research job at 14. Trained in biomedical engineering and medical informatics, he went on to lead major EHR implementations and build a state-of-the-art analytics center from a $0 to $6.5M budget, earning a Premier 100 IT Leaders award along the way. Today, he focuses on turning complex data and AI into practical tools clinicians actually use, helping detect disease earlier and improve patient outcomes at scale. Resources Linus Health – digital cognitive assessment and brain health platform: https://www.linkedin.com/company/linus-health/posts/?feedView=all Connect with Dr. John Showalter on LinkedIn: https://www.linkedin.com/in/johnshowaltermd/ Boombostic Health podcast – more episodes on AI, diagnostics, and the future of care: https://www.boombostichealth.com/podcast Tags healthcare innovation, artificial intelligence, cognitive health, early detection, lifestyle changes, patient care, technology integration, healthcare systems, dementia, health tech

We talk a lot about "data-driven healthcare," yet we're still blind to one of the most important data layers: the microbiome. Mental health, early-onset cancer, autoimmunity—much of that risk is already visible in the gut years before a diagnosis code ever hits the chart. Most care models, benefits designs, and longevity strategies simply don't account for it. In this episode of Boombostic Health, I sit down with Paul Denslow, CEO & co-founder of Intus Bio, to dig into how GutID turns the microbiome into hard infrastructure: high-resolution gut data, a score you can track, and a way to see whether your interventions are actually moving risk—not just spend. In this episode, we cover: Why microbiome disruption often precedes mental health issues and cancer How GutID converts millions of bacterial data points into a single, trackable gut score Why behavioral health and functional practitioners have been early adopters The problem with "just take a probiotic" in the absence of baseline gut data How AI + high-resolution microbiome testing open a real prevention window What a serious prevention and longevity strategy looks like when gut data is included If you're responsible for care delivery, benefits strategy, or long-term risk, ignoring this data layer is no longer a neutral decision. Watch the full conversation to see why mental health, cancer, and your "bacterial you" belong at the center of modern prevention.   About our guest: Paul Denslow is the CEO and co-founder of Intus Bio, the company behind GutID. With a background in finance and big data, Paul partnered with co-founder Mark Driscoll, a pioneer in next-generation sequencing, to build a platform that treats the microbiome as a hard data problem—not a mystery. Intus Bio's GutID test and Titan 1 platform are used by clinicians and practitioners to generate high-resolution microbiome data that can be translated into actionable prevention and disease insights. Links & Resources: Learn more about GutID: https://www.gutid.com/collections/all Learn more about Intus Bio: https://www.intusbio.com/gutid Watch more Boombostic Health episodes: https://www.boombostichealth.com/podcast

Virtual care is scaling. AI is everywhere.   But when lab completion falls from ~70% in-clinic to ~30% in virtual care, the whole model breaks. Virtual Care Without Labs Is Just Zoom - Even with AI.   In this Boombostic Health in the Wild episode from HLTH 2025, Bradley Bostic sits down with Maitham Dib, founder of Junction, to unpack the "real" bottleneck: turning lab orders into lab results.   They dig into how Junction:   * White-labels lab infrastructure so any virtual or hybrid care model can deploy labs across all 50 states   * Uses data from ~3.4 million lab tests annually to model what actually drives lab completion   * Dynamically routes patients across PSC visits, at-home kits, and at-home phlebotomy - based on real-world behavior   * Plugs into telehealth and AI agents that still need working diagnostic rails to be useful   Chapters     00:00 – Lab in the basement, but core to care   02:00 – 70% in-clinic vs. ~30% virtual: the lab completion cliff   03:30 – Junction's white-label "Amazon-style" lab experience   06:30 – Three modalities: PSC, at-home kits, at-home phlebotomy   08:20 – "Where is the software actually?" Models on 3.4M lab tests   09:40 – Doctors, AI agents, and the diagnostic infrastructure layer   11:00 – Telehealth, pharma, and diagnostics as a new access door   12:40 – Business model: a new cost in a system that hates new costs   Key Takeaways   * Virtual care without completed labs is just Zoom. When fulfillment drops from ~70% in-clinic to ~30% in virtual, diagnosis and revenue leak out.   * The real AI bottleneck is diagnostics.Agents and navigation tools only work if they can talk to lab infrastructure that actually gets tests done.   * Infrastructure beats slogans.White-labeled, data-driven lab rails that convert orders to results are where virtual care and AI either succeed—or quietly fail.   #boombostichealth #virtualcare #telehealth #digitalhealth #digitalhealthcare #healthcareinnovation #aiinhealthcare #patientcare #valuebasedcare #healthcare

Virtual care isn't a feature. It's the future care model nobody in healthcare wants to admit is already here. At HLTH 2025, we sat down with Michael Dalton, CEO and founder of Ovatient, to unpack the real story behind why rural and urban patients alike are falling through the cracks and how Ovatient built the first truly integrated virtual multi-specialty practice on Epic. This conversation exposes three uncomfortable truths in healthcare: Access is still broken. Millions delay care because transportation, work schedules, stigma, or geography get in the way. Telemedicine wasn't enough. Single-visit, transactional virtual care doesn't build trusted relationships, close care gaps, or keep patients inside a system of care. Health systems are missing billions in preventable leakage. Ovatient's "digital health home" model quietly fixes that. Dalton breaks down why: • A virtual-first care model that's integrated directly into Epic makes specialists accessible within hours, not months • 95% of patients can be supported at home while still remaining inside their health system • Weight management, behavioral health, primary care, and specialty care all operate seamlessly across one unified patient journey • Virtual care isn't cannibalizing brick-and-mortar — it's expanding the funnel If you care about access, equity, referral management, or the economics of keeping patients connected to a system of care… this episode will challenge everything you think you know about "telemedicine." Ovatient isn't building a digital front door. They're building the digital health home. And it's changing the game.   🎧 Listen now and rethink everything you thought "virtual care" meant.   Chapters 00:00 Introduction to Ovatient and Its Purpose 01:49 The Virtual Multi-Specialty Care Model 05:36 Integration with Health Systems 09:19 Building Trust in Healthcare 12:29 Closing Care Gaps with E-Consults

AI will accelerate healthcare — but genomics will rewrite it. The minute DNA drives care decisions for everyone, the current system becomes obsolete. Gene by Gene quietly runs one of the most advanced, high-throughput genomics labs in the world — powering platforms like MyHeritage and rapidly transforming clinical medicine, oncology, pharmacogenomics, and ancestry.  This conversation explores what happens when every person leaves the hospital with a genomic passport — a lifelong DNA profile they own, control, and use to prevent disease before it begins. This is preventive medicine at scale. Not someday — now. What You'll Learn - Why the genomics industry just flipped overnight - How AI + sequencing will routinely identify disease risk decades early - What happens when every patient controls their genomic data - How pharmacogenomics improves medication safety and outcomes - Why the healthcare system can't keep up with genomic progress  Chapters 00:00 – Live at HLTH 2025 00:29 – The quiet giant behind global genomics 01:20 – From physician to entrepreneur 02:45 – Acquiring Gene by Gene 04:19 – The massive shift to whole-genome sequencing  05:59 – Why more data = better diagnosis and prevention  07:30 – DecisionRx partnership and real-world outcomes 08:19 – Cost, speed, and modularity as the winning edge 09:52 – Sequencing every newborn at birth 11:00 – Data democratization and genomic ownership 11:59 – AI + 3 billion base pairs: why machines must lead 13:24 – Polygenic risk scoring and preventive cardiology 15:38 – Cognitive health and early-intervention models 16:40 – Nutrition + genomics: personal story 17:50 – Sleep, diet & medication metabolism 18:25 – Closing thoughts and future collaboration Learn more: https://www.boombostichealth.com/ https://www.genebygene.com/ #genomics #precisionmedicine #boombostichealth #DNARevolution #healthcareinnovation #futureofhealthcare #preventivemedicine #healthtech #biotechnology #artificialintelligence

Pharma Isn't Broken — Access Is ixlayer x Sanofi Ventures @ HLTH 2025 Patients don't suffer because we lack medical innovation — they suffer because it takes too long to access it.  🚀 Why This Matters Patients today are consumers — they expect speed, personalization, and access. Pharma, technology, and venture capital are aligning to deliver it. The future of healthcare is collaborative, data-driven, and patient-first. Live from HLTH 2025 in the Diagnostic Zone, we dig into the real barriers between patients and lifesaving therapies. This episode covers:  How digital platforms reduce barriers to treatment How AI is fueling proactive, personalized care Why strategic capital accelerates patient-impact innovation Featuring: Pouria Sanae — Co-Founder & CEO, ixlayer Cris De Luca — Sanofi Ventures ⏱️ Timestamps  00:00 — Live at HLTH: Rethinking the pharma-patient connection 02:18 — Why patient access is the real bottleneck 04:20 — Sanofi Ventures: inside the strategic innovation model 06:45 — The truth about time-to-treatment in America 08:40 — The evolution of ixlayer & diagnostics infrastructure 10:30 — Can big pharma really go patient-first? 12:00 — Evidence, outcomes & trust in AI + health tech   Listen & Subscribe Never miss an episode where we challenge the status quo in healthcare and spotlight the innovators building what's next. Healing Healthcare™ starts with bold ideas — and the courage to build them.  #healthcareinnovation #digitalhealth #patientaccess #boombostichealth #aiinhealthcare #healthtech #pharmainnovation #futureofhealthcare #hlth2025 #hlthusa #PrecisionMedicine

Prescription costs are broken — and patients are the ones paying the price. In this episode of Boombostic Health, host Bradley Bostic sits down with Lathe Bigler of First Data Bank to unpack why e-prescribing hasn't evolved in decades, how opaque pricing keeps patients in the dark, and why the next wave of pharmacy network innovation could flip the power dynamic back to patients.   💡 What We Cover: Why patients are frustrated with rising prescription costs How transparency empowers patients with real choices What most people don't know about paying cash for prescriptions How e-prescribing networks can break pharmacy bottlenecks  The role of technology in creating competition — and lowering costs  This isn't just about convenience. It's about rebuilding trust in the healthcare system. Chapters 00:00 Introduction to Boombostic Health and Conference Atmosphere 08:23 Innovations in e-Prescribing Networks 14:59 The Importance of Transparency and Choice in Healthcare   #boombostichealth #healthcareinnovation #PrescriptionTransparency #digitalhealth #patientempowerment #healthcaretechnology #prescriptioncosts #FirstDataBank #healthcaretechnology #healthcareleadership

Summary This conversation explores the transformative potential of AI in healthcare, emphasizing the importance of agentic AI, interoperability, and the need for a shift in medical education. The speakers discuss the challenges and opportunities presented by AI technologies, the necessity of upskilling healthcare professionals, and the economic models that must evolve to support these changes. They highlight the importance of viewing information as an asset and the role of AI in enabling personalized, longitudinal care for patients.   Takeaways There's always a new challenge to overcome in healthcare. Mistakes often provide the best learning opportunities. Agentic AI is set to transform healthcare significantly. AI should enhance, not replace, human interaction in care. 80% of clinicians' time is spent on administrative tasks. Interoperability is crucial for effective patient care. AI can synthesize vast amounts of data for better outcomes. Investment in healthcare needs to focus on outcomes, not just costs. Medical education must evolve to prioritize preventive care. AI can turn healthcare from episodic to longitudinal care.   Chapters 00:00 The Knothole Metaphor: Personal Drive and Motivation 02:57 Transformational Technology: The Impact of Agentic AI 05:38 AI in Healthcare: Redefining Roles and Responsibilities 08:43 Interoperability: The Key to Better Clinical Care 11:50 AI Integration: Upskilling and Workflow Automation 14:39 AI Native Applications: The Future of Healthcare Technology 17:42 Longitudinal Care: The Role of AI in Patient Management 20:32 Investment in Healthcare: Shifting Economic Models 23:37 The Future of Medical Education: A New Paradigm 26:31 Conclusion: The Bright Future of AI in Healthcare

Summary The business of healthcare is broken — but intelligence might finally fix it. In this episode of Boombostic Health, Bradley Bostic and Jason Wenell reveal how to build an AI-ready healthcare system that learns, adapts, and delivers real value. Jason shares his three-layer framework — upskill people, automate workflows, and build AI-native systems that think. Discover how AI is becoming the engine behind value-based care and what it means for the future of healthcare innovation. Takeaways AI is revolutionizing healthcare and other industries. Value-based care relies heavily on data and predictive analytics. AI can help identify social determinants of health. Upskilling healthcare professionals is crucial for AI integration. AI native applications will define the future of healthcare technology. Data is considered the new oil in the healthcare sector. Personalized healthcare will improve patient outcomes significantly. AI should enhance human capabilities, not replace them.  Ethical considerations in AI development are paramount. The future of healthcare is promising with the right AI applications.   Chapters 00:00 Introduction to AI in Healthcare 03:13 AI Applications in Value-Based Care 06:04 Navigating Change Management in Healthcare 09:00 The Shift to AI Native Applications 11:49 Data as the New Oil in Healthcare 15:00 Personalized Healthcare Through AI 18:05 Transitioning to AI Native Solutions 20:59 Ethical Considerations in AI Development 24:05 The Future of Human-Centric Healthcare www.boombostichealth.com https://linktr.ee/BradleyBostic www.hc1.com www.linkedin.com/in/bradleybostic  #boombostichealth #aihealthcare #healthcare #digitalhealth #healthcareinnovation #healthtech #valuebasedcare #ai

Summary In this conversation, Craig Hittle discusses the evolving nature of telemedicine, emphasizing that it should not be viewed merely as a transactional service. Instead, he advocates for a model that fosters long-term relationships between patients and healthcare providers, enhancing the overall quality of care delivered through digital platforms. Takeaways Telemedicine is often misunderstood as purely transactional. The goal of telemedicine should be to build relationships. Long-term relationships with providers can improve patient care. Telemedicine can enhance accessibility to healthcare services. Establishing trust is crucial in telehealth interactions. Patients should feel connected to their providers through telemedicine. Digital health platforms can facilitate ongoing care. The future of healthcare includes a blend of in-person and virtual visits. Effective communication is key in telehealth. Telemedicine can lead to better health outcomes when used correctly. Chapters 00:00 Introduction to Health Tap and Primary Care Innovations 04:16 The State of Primary Care in America 05:08 The Rise of Telemedicine and Its Impact 09:30 Telemedicine: A Shift in Patient Care Dynamics 12:39 Understanding the Durbin Report and Its Implications 15:35 Chronic Condition Management and Telehealth 17:58 The Role of AI in Enhancing Patient Care 21:11 Genomic Information in Primary Care 24:16 The Future of Telemedicine and Patient Relationships 28:26 Challenges and Opportunities for Primary Care Doctors 34:08 Value-Based Care: Aligning Incentives for Better Health

Every year in the U.S., 275,000 people die because of medication mismanagement — a failure that drains $528 billion annually from our $5 trillion healthcare system. It's healthcare's deadly hidden failure. That's where DecisionRx comes in. Their coined Medication Therapy Optimization (MTO) approach goes far beyond Pharmacogenetics (PGx), combining AI-powered insights with pharmacist-led care to stop the guesswork, lower risk, and deliver results at scale. In this episode, host Bradley Bostic sits down with Mike Tilton, Chief Growth Officer at DecisionRx, to unpack the problem and spotlight the fix that's delivering: 8–10% reduction in total healthcare costs 94% patient satisfaction Maximum savings with minimal abrasion "The $528B isn't in pill prices. It's in ER visits, hospital admissions, and complications that never had to happen." — Mike Tilton What You'll Learn Why $528B is being lost annually to preventable medication mismanagement. How DecisionRx's MTO model fixes the problem holistically — not just by swapping pills. Why ER visits, hospitalizations, and complications drive the real costs. Randall's story: from 18 prescriptions and $12K/month to a sustainable regimen that restored his health. How DecisionRx's shared-savings model makes adoption possible even for financially strapped health systems.   Medication mismanagement is killing us. DecisionRx has the fix. 👉 Learn more at decisionrx.com Subscribe to Boombostic Health for bold conversations that expose healthcare's failures — and the solutions that can finally change it.

Summary Pre-market clinical trials are essential — but they don't reflect how devices truly perform once they're in the real world. In this episode of Boombostic Health, host Bradley Bostic sits down with Dr. Amelia Hufford, Co-Founder and SVP of Clinical and Regulatory Science at 3Aware, to unpack why real-world data (RWD) is critical to the survival of medical devices — and why mindset, not science, may be the biggest barrier holding MedTech back. Amelia shares her 20+ year journey in scientific and clinical research, including a decade in MedTech leading regulatory and clinical affairs. She explains how RWD fills the gaps left by clinical trials, supports post-market surveillance, uncovers off-label use, and even opens the door to label expansion — giving manufacturers faster, less costly ways to prove safety and effectiveness. The conversation dives into the risks of ignoring RWD, the opportunities it creates for innovation and revenue, and how this shift could save one-third of devices currently at risk of disappearing from the market. What You'll Learn in This Episode Why pre-market clinical trials don't fully reflect everyday device usage. How real-world data provides insights into broader and more diverse patient populations. Why manufacturers fear off-label data — and how it can actually unlock new markets. The importance of treating RWD studies with the same rigor as traditional clinical research. How RWD can accelerate innovation, improve patient outcomes, reduce costs, and support regulatory compliance. Why It Matters Without embracing real-world data, the MedTech industry risks losing critical devices — some of which save lives in high-stakes scenarios. By shifting mindset and using RWD with scientific rigor, manufacturers can not only ensure patient safety but also unlock growth opportunities, accelerate label expansion, and meet regulatory demands more efficiently. Resources & Links Learn more about 3Aware Connect with Dr. Amelia Hufford on LinkedIn Follow Bradley Bostic on LinkedIn Subscribe on LinkedIn for weekly newsletter

Why is giving birth in the United States still so risky—especially for Black and Native American mothers? In this powerful episode of Boombostic Health, host Bradley Bostic sits down with Tiffany Hall, a nurse and maternal health expert who has spent decades on the frontlines of patient care and blood management. Tiffany exposes the hidden pregnancy risk no one is talking about: anemia. Drawing from both clinical experience and hc1's MyBloodHealth technology, Tiffany explains how anemia silently drives up rates of hemorrhage, heart complications, postpartum depression, and even maternal death. And while anemia is often missed in early pregnancy (18% of women in the 1st trimester), it skyrockets to 80% by the 3rd trimester—when it's far harder to manage. The conversation also dives into the stark racial disparities in maternal outcomes: Black and Native mothers die at a rate of 49.5 per 100,000 births, compared to 19 per 100,000 for white mothers. Tiffany unpacks how fragmented care, lack of early screening, and systemic inequities continue to put mothers and babies at risk—despite being preventable. But it's not all grim. Tiffany also shares how HerCare powered by MyBloodHealth is giving providers the tools to proactively identify risk, streamline workflows, and deliver better outcomes for both moms and babies. Guest: Tiffany Hall, Nurse and Director of cPBM Clinical Technology at hc1 What You'll Learn in This Episode 📊 The shocking stats: anemia's rise from 18% in the 1st trimester to 80% by the 3rd ⚠️ How anemia fuels hemorrhage, cardiovascular problems, and postpartum depression ✊ Why Black and Native mothers face mortality rates more than 2X higher than white mothers 🧪 How lab-driven insights can flip care from reactive to proactive 💡 How HerCare simplifies provider workflows and closes dangerous gaps in maternal care Why It Matters Every statistic in this episode represents mothers, babies, and families forever changed. Tiffany's message is clear: maternal deaths and injuries in the U.S. are preventable—but only if we address hidden risks early and make proactive care the standard.   Chapter Highlights: 00:00 – Intro & Guest 01:57 – Tiffany's Background 04:46 – Mothers & Babies at Risk 05:29 – Broken U.S. Care System 08:18 – 49.5 vs 19: The Disparity 10:09 – Hidden Risk: Anemia 11:57 – How HerCare Works 19:23 – Awareness & Policy Change  22:07 – The Future of Maternal Care 27:56 – Closing & Takeaways

AI in healthcare isn't about robot doctors — it's about building billion-dollar businesses. In this episode of Boombostic Health, Bradley Bostic sits down with Nigel Ohrenstein, CEO of Diagnostic Robotics and veteran healthcare entrepreneur, to explore how agentic AI is quietly reshaping the $4T healthcare industry. Nigel has taken companies from napkin sketch to multi-billion-dollar scale — most notably co-founding Lumeris and now leading Diagnostic Robotics. He shares what it really takes to scale in healthcare, why execution matters more than ideas, and how AI is transforming the 80/20 rule: shifting clinicians' time from endless paperwork back to patient care.   Together, they unpack: Why AI in healthcare isn't about replacing doctors — it's about unlocking billion-dollar impact. How Nigel scaled Lumeris into a multi-billion-dollar company and the lessons he carried forward.  The role of agentic AI in automating administrative tasks and enabling faster, cheaper, and higher-quality care. Why the next wave of healthcare innovation will be built by operators who understand both incentives and execution. The untold story of scaling companies in a $4T industry under massive pressure to change. Chapters 00:00 Introduction to Diagnostic Robotics and Nigel's Journey 08:37 The Drive Behind Innovation in Healthcare 16:56 Understanding Agentic AI in Healthcare 25:31 AI in Healthcare: Streamlining Administrative Tasks 29:00 Transforming Patient Engagement and Care Quality 30:51 Lessons from John Doar: Execution and Preparation 36:50 The Role of Technology in Healthcare 46:13 Innovation Under Pressure: Opportunities in Healthcare

96% Accurate Cancer Detection — Without an Invasive Biopsy? The Breakthrough Test That Could Save Millions What if detecting cancer was as simple as giving a urine sample? No needles. No surgery. No fear. In this episode of Boombostic Health, host Bradley Bostic sits down with Curtiss McNair Jr., VP of Operations at PanGIA Biotech, to unpack one of the most groundbreaking medical innovations in decades: a urine test powered by AI that can detect multiple cancers with jaw-dropping accuracy. But this conversation isn't just about the science. It's also about the leadership and vision needed to take innovations like this from the lab to real-world patients. 🔑 Key Takeaways The Breakthrough: How PanGIA's urine test achieves 96% sensitivity, 74% precision, and an 84% F1 score in early cancer detection. Why It Matters: 2 out of 3 biopsies for prostate and brain cancer come back benign. This test could eliminate unnecessary, invasive procedures. Global Impact: Why PanGIA launched first in India, and how cultural barriers to invasive exams are driving adoption. AI in Action: How artificial intelligence identifies subtle biomarker patterns invisible to the human eye. The Leadership Gap: Why building better healthcare depends not just on new technology, but on bold leaders willing to drive systemic change. 🌍 Why You Should Listen Cancer has touched nearly every family, and early detection is the single most powerful tool we have to save lives. This episode blends cutting-edge science, practical healthcare realities, and leadership wisdom that every innovator, clinician, and patient advocate needs to hear.

What does it really take to build and scale a healthcare company? In this episode of Boombostic Health, Bradley Bostic sits down with Lee Shapiro—Managing Partner at 7wire Ventures, former President of Allscripts, and co-founder of Livongo—to talk about his journey from "recovering lawyer" to building one of the most successful companies in digital health. Lee shares how he and Glenn Tullman grew Livongo into a public company and ultimately merged with Teladoc in a landmark $18.5 billion deal. He breaks down why healthcare innovation is never an overnight success, how to spot "Uber moments" in healthtech, and why solving consumer hassles is the future of care. Whether you're an entrepreneur, investor, or operator, this conversation offers a masterclass on building meaningful healthcare businesses that last.   Key Moments 00:00 – Intro: Bradley Bostic welcomes Lee Shapiro of 7wire Ventures 01:40 – From lawyer to entrepreneur: Why Lee left law to build companies 05:20 – Allscripts and the early days of digital health 10:30 – The Livongo story: 6-year grind to IPO and $18.5B Teladoc merger  13:50 – The B2B2C model in healthcare explained 15:20 – Consumer hassle mapping: Finding healthcare's "Uber moments" 17:20 – Value-based care & empowering the patient 19:40 – Scaling through M&A: The $620M Accolade–Transcarent deal  25:30 – How 7wire Ventures supports portfolio founders beyond capital 29:20 – Doing well by doing good: Investing with purpose in healthcare 31:10 – Cubs or Sox? Lee's Chicago roots and final thoughts   Key Topics Digital health entrepreneurship Venture capital in healthcare  How Livongo scaled to an $18.5B deal with Teladoc  The future of value-based care  Consumer hassle mapping and patient empowerment Healthcare M&A and scaling strategies

Episode Description What if women could know — years in advance — when perimenopause and menopause will begin? In this episode of Boombostic Health, host Bradley Bostic talks with Nich Gentry and Dr. Lizellen La Follette of Life Ahead, a groundbreaking company combining ultrasound, personalized data, and validated science to give women a clear picture of their reproductive timeline. You'll learn: Why ovarian aging is the "canary in the coal mine" for overall health. How early menopause prediction could transform bone health, cognitive health, and preventive care. The science behind Life Ahead's algorithm — and why it's a breakthrough for both patients and clinicians. Why women's health research has been historically underfunded and how that's changing. The entrepreneurial challenges of building a science-backed health tech company. Whether you're in healthcare, innovation, or simply care about the future of women's health, this conversation will leave you inspired — and rethinking what's possible in preventive care. Listen now to learn how data, science, and proactive healthcare can rewrite the future for millions of women. Key Moments 00:00 – Why Proactive Healthcare Matters Shifting from reactive to proactive care in women's health. 01:14 – Meet Life Ahead Nich and Dr. Lizellen share their mission to close the women's health gap. 04:11 – Understanding Ovarian Aging Why ovaries age faster than most organs and what it means for overall health. 08:16 – Perimenopause Explained What it is, symptoms, and why timing matters. 10:11 – The Cost of Waiting How early menopause prediction could save money and improve health outcomes. 12:41 – The Science Behind the Tool From NSF funding to Yale mathematicians — the breakthrough research journey. 14:43 – The Startup Rollercoaster Highs, lows, and challenges of building a new category in healthcare. 27:17 – WHOOP, Fitness, and Sleep Why tracking recovery and lifestyle metrics is part of better healthcare. 30:17 – Looking Ahead Envisioning the future of women's health through predictive technology.

Summary Guest: Melissa Butterworth, CEO of Advanced Strategic Partners Overview: Hospitals are under extreme financial pressure—but what if the answer to their budget woes is sitting right inside their own labs?  In this eye-opening episode, Melissa Butterworth—who's led over $2.4 billion in lab transactions—joins Bradley to explore the growing trend of health systems divesting lab assets. Together, they unpack: Why hospitals are selling even profitable lab outreach operations How to accurately assess the real value of a lab business What happens post-sale—and how to unlock even more value with AI-powered lab insights. Chapters:  04:30 Melissa's story: from LabCorp exec to M&A powerhouse 07:20 Why lab outreach programs are being sold off—even with 40%+ margins 10:50 "Compressed value": What hospital labs are really worth to buyers like LabCorp or Quest 15:40 The rise of AI in lab-driven personalized medicine 17:45 Predicting Alzheimer's from routine labs? It's already happening. 17:55 The Role of Labs in Future Healthcare Key Quote:  "It's just as hard to play small as it is to play big. So why not go big?" – Bradley Bostic  

In this episode, host Bradley Bostic sits down with healthcare innovator and author Jim Wallace to discuss how AI, wearables, genomics, and big data are transforming the way care is delivered. Wallace shares insights from his new book, Precision Medicine, AI, and the Science of Personalized Health Care, revealing why traditional models of care are falling short—and what's next. What you'll learn: Why 53% of medications don't work as intended How social support increases patient survival by up to 50% Where healthcare investment is missing the mark What the Alice Walton School of Medicine is doing differently How AI is closing critical care gaps from anemia to cancer   Chapters 00:00 Introduction to Value-Based Care and AI 04:57 The Journey to Personalized Healthcare 11:12 AI's Role in Transforming Healthcare 18:25 The Importance of Preventive Medicine 25:49 Innovations in Medical Education 33:58 The Future of Healthcare and AI

In this episode of Boombostic Health, host Bradley Bostic speaks with Greg Stein, CEO of Shadowbox, about the challenges and innovations surrounding electronic health records (EHRs) and lab test ordering. They discuss the limitations of traditional EHR systems, the innovative solutions Shadowbox provides to streamline lab test ordering, and the broader implications for diagnostics and patient care. The conversation also touches on community health initiatives, the importance of interoperability in healthcare, and the potential for partnerships to enhance healthcare delivery.   Takeaways The business of healthcare is fundamentally broken. Shadowbox offers an innovative solution for lab test ordering. Faxes are still prevalent in healthcare communications. Shadowbox has achieved a 20% reduction in denials for labs. The Shadowbox system can be applied to various diagnostics, not just labs. There is a significant opportunity to flag patients for clinical trials. Healthcare interoperability is a $950 billion problem. No single solution fits all healthcare interoperability needs. The time for healthcare innovation is now. Partnerships can enhance healthcare delivery and patient outcomes. Chapters 00:00 Introduction to Electronic Health Records and Their Challenges 04:52 Innovative Solutions for Lab Test Ordering  09:05 Expanding Beyond Labs: Applicability to Other Diagnostics 12:22 Research Opportunities and Clinical Trials 16:22 Community Engagement and Public Health Initiatives 19:54 Understanding Interoperability and Integration Challenges 27:10 Partnerships and Future Directions in Healthcare