Interoperability standards must make the transition from securing patient health data to delivering a clear output for clinicians, says John Nebergall, COO of Consensus Cloud Solutions, at the HIMSS23 cybersecurity pre-conference session.
Payel Das, principal research staff member and manager in the Trusted AI department of IBM and IBM master inventor, relays the prospect of large language models filling gaps in data and generating insight based on what is missing.
Harvey Castro, author of "ChatGPT and Healthcare" explains how large language models trained mainly on healthcare content could potentially give better results than general purpose models, but still need human intervention to double-check results.
More choice doesn't mean better experiences, says Dr. Adrienne Boissy, Qualtrics CMO and Cleveland Clinic staff neurologist. Consumers are making value-based decisions and care about privacy, so they should be co-designing healthcare AI.
The chief medical information officer of Omaha's Children's Hospital & Medical Center says large language models and generative AI have huge potential for healthcare – but is taking a cautiously deliberative approach to deploying them.
Andrew Eye, cofounder and CEO of ClosedLoop.ai, addresses zero tolerance for "black box" algorithms, achieving fairness with patient-level explainable AI and establishing best ML practices to advise thoughtful healthcare policy decisions.
Jeffrey Schneider at DoD and Navin Natoewal at Philips explain how algorithms and consumer wearables that predicted 73% of service members COVID-19 cases up to 2.5 days prior to symptoms could be used in healthcare.
Freddie Feldman, director of voice and conversational interfaces at Wolters Kluwer, describes the use of voice interfaces to follow up with hospital patients at home to extend care and reduce readmissions.
Karsten Klose and Peter Mountney of Olympus explain how Odin Vision has become Olympus' first digital excellence center, gathering AI capabilities in an agile, clinician-centered environment combining integrated hardware/software solutions.
Nicky Murphy, International Government Health Lead at AWS explains how cloud can reduce costs while also improving productivity and resilience. Companies can easily access AI and machine learning tools through cloud platforms.
R. Ryan Sadeghian, CMIO of Hunterdon Healthcare System, sees a lot uses for ChatGPT, particularly in medical education, clinical practice and disease management, but there are drawbacks.
Michael Hasselberg, the University of Rochester's chief digital health officer, and Dr. Justin Norden, a partner at GSR Ventures, share how their partnership is helping both the health system and the venture firm in the current economic environment.
