Overview
This session will present current discussions on governance and infrastructure for integrating generative AI tools into research and clinical operations at Michigan Medicine, including guidelines for using specific generative AI tools with sensitive data.
Schedule
10:00 – 10:05
Introduction – Mike Burns
10:05 – 10:20
Data and PHI – Erin Kaleba
10:20 – 11:00
Michigan Medicine Research Examples – Andrew Krumm, Michael Sjoding, Karl Renius
11:00 – 11:30
Q&A with Leadership Panel – Carleen Penoza, Ranjit Aiyagari, Brahmajee Nallamothu, Michael Sheppard; Moderator: Mike Burns
11:30 – 11:45
Challenges of Using AI in Medicine – Kayvan Najarian
11:45 – 12:00
GenAI Potential – Brian Athey
Co-Organizer
Speakers
Ranjit Aiyagari
Clinical Professor, Pediatrics, Medical School
Brian Athey
Professor, Computational Medicine and Bioinformatics, Medical School
Michael Burns
Clinical Assistant Professor, Anesthesiology, Medical School
Erin Kaleba
Director, Data Office for Clinical and Translational Research
Andrew Krumm
Assistant Professor, Learning Health Sciences, Michigan Medicine
Kayvan Najarian
Professor, Computational Medicine and Bioinformatics, Medical School
Brahmajee Nallamothu
Professor, Internal Medicine, Medical School
Carleen Penoza
Adjunct Clinical Instructor, Nursing, School of Nursing
Karl Renius
Pharmacy Assistant Director, Michigan Medicine
Michael Sheppard
Data Foundations Director, Michigan Medicine
Michael Sjoding
Associate Professor, Internal Medicine, Medical School
For questions please message Kelly Psilidis: [email protected]