Jodyn Platt
Associate Professor of Learning Health Sciences
Medical School
Associate Professor of Health Management and Policy
School of Public Health
[email protected]
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Jodyn Platt
Associate Professor
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About
My work explores how data and technology can be used responsibly to improve health while earning and sustaining public trust. Trained in medical sociology and health policy, I study the ethical, social, and policy questions that arise as health systems become more data-driven and powered by artificial intelligence. I am an Associate Professor in the Department of Learning Health Sciences at the University of Michigan.
From 2021 to 2024, I served as the inaugural Senior Scholar in Residence with AcademyHealth and the ABIM Foundation. I work closely with patients, communities, and healthcare organizations to understand how people think about and experience data use in health and medicine. By combining diverse research methods and community insight, my goal is to turn evidence into actionable strategies that help make healthcare policy and practice more trustworthy, transparent, and inclusive.
Qualifications
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FellowUniversity of Chicago, MacLean Center for Clinical Ethics, Chicago, United States
2017 - 2018
Postdoctoral Fellowship
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PhDUniversity of Michigan School of Public Health, Ann Arbor, Michigan, United States
2010 - 2014
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MPHUniversity of Michigan School of Public Health, Ann Arbor, Michigan, United States
2002 - 2005
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BAOberlin College, Oberlin, Ohio, United States
1992 - 1997
Center Memberships
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Center MemberInstitute for Healthcare Policy and Innovation
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Center MemberCenter for Global Health Equity
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Center MemberCenter for History, Humanities, Arts, Social Sciences and Ethics in Medicine
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Center Membere-Health and Artificial Intelligence Initiative
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Center MemberAI and Digital Health Innovation
Research Overview
Artificial intelligence
Health informatics
Trust and trustworthiness
Community-engaged research
Health policy
Recent Publications
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Nong P, Ji M, Platt J. Health Affairs Scholar, 2026 May 22;Journal ArticleHealthcare exceptionalism in patient perspectives on AI: implications for policy and practice
DOI:10.1093/haschl/qxag128 -
Carmona Clavijo GM, Nong P, Tan S, Platt J. JMIR AI, 2026 May 12; 5: e84315Journal ArticlePublic Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study.
DOI:10.2196/84315 PMID: 42118568 -
Sielaff ML, Platt J, Tan S, Ryan KA, Nong P, Kardia SLR. American Journal of Managed Care, 2026 Jan 1; 32 (1): e18 - e24.Journal ArticleBuilding Trust: Public Priorities for Health Care AI Labeling
DOI:10.37765/ajmc.2026.89875 PMID: 41592186 -
Ryan KA, Sielaff ML, Saleem D, Richardson J, Tan S, Hamasha R, Nong P, Kardia SLR, Romanov V, Hammad A, Platt J. AI Ethics, 2026 6 (2): 176Journal ArticleCommunity perspectives on health AI: hopes, concerns and implications for health systems and trustworthy AI.
DOI:10.1007/s43681-026-00987-7 PMID: PMC12945899 -
Burns ML, Chen SY, Tsai CA, Vandervest J, Pandian B, Nong P, Hanauer DA, Rosenberg A, Platt J. Npj Digital Medicine, 2025 Dec 1; 8 (1):Journal ArticleGenerative AI costs in large healthcare systems, an example in revenue cycle
DOI:10.1038/s41746-025-01971-x -
Missel AL, Khan N, Williams M, Coulter-Thompson EI, Hameed S, Pribble JM, Shields T, Fosse G, Dowker SR, Neumar RW, Swor R, Platt J. Learning Health Systems, 2025 Oct 1; 9 (4):Journal ArticleThe experience of a learning community to develop a HeartSafe Home intervention to improve survival from out-of-hospital cardiac arrest
DOI:10.1002/lrh2.70010 -
Carmona Clavijo GM, Nong P, Tan S, Platt J. 2026 May 12; JMIR Publications Inc.,PreprintPublic Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study (Preprint)
DOI:10.2196/preprints.84315 -
Provenzano A, Syed F, Platt J, Piatt G, Ackerman M, Buyuktur A, Klinkman M. BMC Health Services Research, 2025 Mar 5;Journal ArticleThe Development of Information Infrastructure and Technological Capabilities Used to Manage Social Care and Address Quality in Primary Care Settings
Featured News & Stories
Research News
AI in Healthcare: Notification and Consent Preferences Based on U.S. National Survey
There are strong public expectations for transparency and control over artificial intelligence (AI) use in healthcare settings. A clear majority of U.S. adults want either to provide explicit permission (45-54%) or at least be notified (32-39%) before AI tools are used in their care, whether for clinical decision-making, routine documentation, or administrative functions.
Research News
How does the UM research community feel about AI in healthcare?
TIERRA hosted a table at Researchpalooza. They included two activities to gather the perspectives of the University's research community on the use of AI in healthcare.
Research News
Policymaking for AI in Health Systems
Cyrena Matingou reflects on her IHPI Summer Internship experience with the TIERRA team, where she supported Dr. Jodyn Platt and contributed to the team’s presentation at the Michigan Health Information Technology Commission (HITC). In her blog post, she shares insights from her time with TIERRA and what she learned about public trust and the role of AI in healthcare.
Health Lab
Adults don’t trust health care to use AI responsibly and without harm
Research finds that adults surveyed had low trust in their health care system to use artificial intelligence responsibly and others had low trust in their health care systems to make sure an AI tool would not harm them.
Health Lab
People want to know if AI is used in their health care
A study published in JAMA Network Open finds most people want to be notified if AI is used in their health care.
Department News
Double celebration: DLHS observes 10th Anniversary and the holidays
Faculty, staff, and students in the Department of Learning Health Sciences (DLHS) celebrated the upcoming holiday season with a reception at the Venue by 4M restaurant in Ann Arbor. The celebration also served to observe the 10-year anniversary of DLHS.
