AI

Dr. Jeffrey Chen, clinical advisor at No Barrier AI, believes the company's AI medical interpreter app could improve outcomes for low-English-proficiency patients, prevent clinician burnout and reduce operational costs.  

Eric Robertson, chief technology strategist and growth officer at Jeeva Care, talks about how the company's AI companion helps patients track health goals and stick to their care program after a hospital stay.  

Dr. Colin Banas, CMO at DrFirst, discusses the company's medication adherence product. It uses AI to send texts that educate patients about medications and provides coupons and co-pay-assistance program information, if cost is an issue.  

Susan Conover, Piction Health CEO and cofounder, discusses the company's collaborations with dermatologists in 20 countries to build its AI to ensure accuracy across skin tones and the organization's objectives thanks to recent funding.  

Anatomy IT CEO Frank Forte says that redundant systems and practice drills, as well as partnering with vendors to prepare for inevitable cyberattacks, are key to building cyber resilience of healthcare organizations.  

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.