AI

Mayo Clinic vice chair of AI and innovation Dr. Alexander Ryu discusses building frameworks for AI fairly and equitably through collaboration - and how the organization decides to partner with companies with already established models.  

SVP of advanced analytics Pravin Pant and associate VP of interoperability strategy Michael Gould, both at ZeOmega, discuss how providers should adopt FHIR standards to achieve TEFCA compliance and enable easier data sharing with payers.  

In part two of a two-part series, Dr. Bruce Darrow, CMIO and interim CDIO at Mount Sinai Health System, discusses how the health system utilizes AI for predictive care, reading diagnostic images, and streamlining administrative operations.  

Ran Balicer, HIMSS board of directors member, talks about the possibility of clinical digital support technology to personalize care by helping clinicians predict potential health issues for patients so they can be prevented.  

In part one of a two-part series, Dr. Bruce Darrow, Mount Sinai Health System CMIO and interim CDIO, relays how patients may gain confidence in relying on AI instead of doctors as accuracy of pattern recognition and predictive models improve.  

Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA, says AI can support, not replace, clinicians in improving care delivery, and discusses some best practices for its safe and ethical use. The HIMSS AI in Healthcare Forum is scheduled to take place September 5-6 in Boston. Learn more and register.  

Ziv Ofek, cofounder and CEO of MDClone, discusses how GenAI tools may soon make it easier for clinicians to analyze synthetic data themselves if guardrails are in place to ensure that the AI's conclusions are correct.  

Dr. Michal Tzuchman Katz, cofounder and CEO of Kahun, discusses how educating doctors on the source of information for the company's clinical knowledge graph and how the product supports patient care encourage its adoption.  

Dr. Tim O'Connell, cofounder and CEO of Emtelligent, believes healthcare organizations should not rely solely on AI for business processes and must train models on data sets that represent "all of humanity."  

CIO Craig Kwiatkowski offers a look at the AI tools deployed at the famous health system and discusses the measure of success of AI initiatives, as well as how the technology can help identify disparities in care access and outcomes.