Healthcare Without Blind Spots

Ellen Brown spent 30 years inside billion-dollar health plans, launching and restructuring plans and shaping national policy, and she started out as an underwriter learning what it actually costs to insure people. That background is what makes her read on healthcare's blind spot hard to wave off. She thinks the chronic disease epidemic is ending, and that the industry is the last to notice, because its money and its attention are locked downstream, waiting 20 years for disease the food system is manufacturing right now.Her framework is a redesign rather than a tweak. System A was inherent health, System B scaled cheap calories and built an acute-care industry to manage the fallout, and System C realigns the incentives so the money follows health instead of volume. The shift is already visible. GLP-1s are bending the economics of food, snack sales are down 6 to 7 percent, and consumers are moving upstream faster than the system expects. Along the way she and Trenor get into why you can't insure a condition that was never insurable, what employers keep getting wrong about benefits, and why the real blind spot in health is the grocery store.Topics Discussed- Why Ellen believes the chronic disease epidemic is ending, and why healthcare is the last to notice- The System A, B, and C framework, and how each system reshaped food and health- Why the industry keeps insuring chronic disease that was never insurable in the first place- How GLP-1s are bending the economics of food, with snack sales already down 6 to 7 percent- The $9 trillion human health market and why most of it still flows to acute care- What employers get wrong about wellness benefits, and a different way to think about what's insurable- The reusable rocket, and using System B dollars to build System C- Why primary prevention happens at the grocery store, where 75 percent of shelf space delivers chronic disease

Shoshanah Brown has spent more than 25 years closer to the frontline of health than most executives ever get. She started as a Peace Corps community health worker in a rural village in Burkina Faso, founded and ran AIRnyc for 13 years sending community health workers into the homes of families battling asthma, and now leads population health at Popai Health. That arc is why her read on healthcare’s blind spot is hard to argue with. The problem was never a shortage of data. It’s that no one is capturing what the patient actually says.Popai works with FQHCs and the safety net, where the social side of a person’s life is even more fragmented than the clinical side. Brown makes the case that the signals predicting a missed appointment or a trip to the ED are already being spoken, to a receptionist, a navigator, a care manager, and then lost in systems that don’t talk to each other. Her conviction is that AI’s highest use here is amplification, not automation. Strip away the documentation burden, keep the human community health worker in the workflow, and let them do the trust-building and listening only a person can do.Topics DiscussedWhy healthcare is data rich and context poor, and what patient context actually meansThe signals patients already speak that get lost across fragmented, disconnected systemsPopai’s model: orchestrating information to drive the next best action before a crisis hitsWhy the non-clinical frontline workforce has been healthcare’s invisible backboneRemoving the documentation burden, including the translation load workers carry between patient conversations and English-language systemsAI as amplification, not automation: keeping the human in the workflow and working at the top of their licenseBuilding trust by ending the repeat screening that forces vulnerable patients to restate stigmatized needsLessons from AIRnyc: how being data-driven and tech-enabled early earned a seat at the table when value-based care arrivedThe case for a single social and clinical care plan built at the level of the individualWhat the community health worker role could look like in three to five years

Dr. Judith Brown Clarke has held more unusual vantage points than most healthcare leaders will ever see: Olympic silver medalist, CPS investigator, city council member, now  Vice President of Equity & Inclusion and Chief Health Equity Officer at Stony Brook University and Health System. That career path isn't a curiosity, it's the source of some of the sharpest thinking in this conversation. She watched the downstream consequences of unmet social need show up as child neglect cases long before healthcare had language for any of it, which is why her read on what the system keeps missing is harder to dismiss than most.Topics Discussed:Why "non-compliant" signals clinician incuriosity, not patient failureSleep as a clinical recommendation that assumes privilegeThe arrogance of the single-intervention fix: why chemo doesn't work when the patient goes home to chronic toxic exposureStony Brook's community presence model: mobile dental, mammography, and cardiac care as a patient trust and retention strategy, not charityWhy oral and vision health are the canary in the cave for systemic disease, and why carving them out of insurance coverage is clinically indefensibleTraining providers in humility by embedding dental students in communities treating patients they would never otherwise encounter, including a 45-year-old who had never had their teeth cleanedThe stone soup framework for multi-stakeholder care: intentional handoffs where the system navigates on behalf of the patient, not the reverseImposter syndrome reframed: you have permission to feel it, not to stay in it, and your obligation in the room is to represent every voice that isn't there

Ellen Kelsay represents 460+ employers and more than  60 million people globally at the Business Group on Health. She's watching the same cost crisis play out across her entire member base in real time, which makes her read on what's working and what isn't worth paying close attention to.The uncomfortable through-line of this conversation: the industry built a massive ecosystem of point solutions with good intentions, but stitch a dozen together and the patient experience fragments, costs keep rising, and ROI becomes impossible to attribute. Ellen sees AI heading down the same road. Efficiencies are being claimed but not passed through, and she puts a number on it: roughly 1.5% of current healthcare trend may already be attributable to the negative effects of AI, including up-coding and inflationary revenue cycle applications. Trend is already running 6.5–9.5% depending on the firm. The math isn't hard.The more actionable half of the episode covers what leading employers are actually doing differently, including vendor summits that put every partner in the same room, aligned on shared outcomes and collective ROI for the same patient populations.Topics discussedWhy the status quo is already the most disruptive option employers have right nowDirectly asking the workforce what's blocking care access and what that two-way conversation actually surfacesVendor accountability: what employers are demanding from health plans and benefits partners that isn't being deliveredHow vendor summits work as an operating model for shared outcomes and collective ROI attributionThe 1.5% AI tax: how up-coding and unreturned efficiency gains are contributing to trendAI bot wars between health plans and providers and who is absorbing the costWhy AI is deploying too fast for the change management that made EHR adoption workImposter syndrome as a permanent fixture in senior leadership and how to reframe it without dismissing it

Most employee benefit programs aren't underfunded. They're just invisible. Ashley Reid, Founder and CEO of Wellist, has spent a decade proving that access is the real problem, not investment. One client had 17 vendor partners sitting on over 600 embedded resources. Their HR team estimated 50.Ashley shares how Wellist built an e-commerce-style navigation experience that gets employees connecting with an average of 11 resources per visit, how she identified the exact C-suite conversation that unlocked scalable sales, and why assumption-based personalization, AI-driven or otherwise, is structurally guaranteed to leave most employees behind.Topics discussed: The 600-resource problem buried inside 17 vendor partnersWhy two employees with the same life event share only 20-30% of the same support needsHow assumption-based benefits models connect just 30% of employees to supportUsing real-time behavioral data to replace annual benefits market studiesThe childcare vendor case study: 40% assumed need, 13% actual demand, 3% utilizationHow to structure a CHRO conversation when benefits waste is already on their agendaThe three CFO-certified ROI proof points that close enterprise dealsWhy selling to everyone's problem is selling to no one: the 45-stakeholder hospital lessonBuilding early adopter momentum outside healthcare to get to scale faster