In this episode, Dr. Hasselberg sits down for an in-depth conversation with Dr. Aaron Neinstein, chief medical officer at Notable. Among other things, the two discuss:
* The power of advanced AI and LLMs to dramatically reduce development time
* How pre-trained models are being used to power automated form fillers
* The drivers and motivations of being an early adopter
* And much more.
Dr. Michael Hasselberg is the first Chief Digital Health Officer at University of Rochester (UR) Medicine and is the co-Director of the UR Health Lab, the health system’s digital health incubator. He is also an Associate Professor of Psychiatry, Clinical Nursing, and Data Science at the University of Rochester.
Board certified as a Psychiatric Mental Health Nurse Practitioner, Dr. Hasselberg completed his Ph.D. degree in Health Practice Research at the UR and a postdoctoral certificate in Healthcare Leadership at the Johnson School of Management at Cornell University.
His expertise expands health and technology as a Robert Wood Johnson Foundation Clinical Scholar Fellow and advisor on digital health modalities to the New York State Department of Health, the Department of Health & Human Services, and the National Quality Forum.
Here are the timestamps for this episode.
(00:00) - Intro
(02:02) - Trying to solve complex healthcare problems before GPT-4
(03:41) - Solving the patient messaging problem with GPT-4 in just two days
(08:03) - Non-patient facing use cases for LLMs and generative AI
(09:22) - Building automated form fillers (workers comp)
(10:54) - Using LLMs to build tools for the IT Help Desk at a health system
(12:45) - Generative AI for ambient documentation
(14:45) - What’s the motivation to be an early adopter of technology?
(18:40) - Why banning the use of generative AI is not a winning strategy
(19:28) - Exploring the incentives for continued innovation
(23:22) - What guardrails does an innovation incubator operate within?
(27:45) - End
* Dr. Michael Hasselberg on LinkedIn
* Notable on LinkedIn