35. Availity’s Innovation Guru, Sam Schifman, on AI and Human Behavior Change for Better Health

In this episode host Sandy Vance talks with Sam Schifman, Principal Architect for Innovation at Availity about how healthcare organizations should be approaching the use of artificial intelligence in their organizations as health data becomes plentiful due to evolving standards and the implementation of national networks.  Sam says that healthcare providers are going to have to think differently about partnerships between providers, payers and patients in order to obtain better outcomes. Machine learning has been used for years to improve the flow of information, and that will continue to get better as new AI functionality is unlocked. In this conversation, Sam and Sandy explore how artificial intelligence capabilities should be considered as a means to improve existing workflows and allow us to do more as a population. Listen in to hear how combatting the four horsemen of chronic disease by learning and changing human behavior could improve health and extend longevity for patients. Learn more about:  Challenges facing healthcare that can be solved through the better use of administrative and clinical health data  Risks and benefits of applying AI in healthcare the real power of artificial intelligence : revolutionizing common workflows to analyze and modify human behavior  How compressing data into formats like FHIR and CCDA help us address the issue of bandwidth  Why good upcycled clinical data can make a really big difference in the administrative workflows  Sam Schifman has over 25 years of experience delivering software in finance, HR, education, no-code development platforms, and healthcare. For three years he was the Chief Architect at Diameter Health, until he joined Availity where he is now a Principal Architect for Innovation. In this role he focuses on the intersection of clinical and administrative data in healthcare. He has been at the forefront of delivering Upcycled data in FHIR, and other standards, to further interoperability. As part of that, he works with several HL7 Working Groups and Accelerators, including FAST and EHR/ Burden Reduction Working Group. He has experience with AI/NLP, having spoken at several NLP Summits and at HIMSS on the subject. Mr. Schifman continues to do research into how interoperability and AI can help reinvent healthcare and drive better outcomes for all.