Jodyn Platt


Healthcare Research, Informatics, Social Science
Artificial Intelligence, Security and Privacy, Survey Methodology
Relevant Projects:

IEEE P2933 – Clinical IoT Data and Device Interoperability with TIPPSS; Mobilizing Computable Biomedical Knowledge (MCBK) Trust and Policy Working Group

Jodyn Platt

Associate Professor

Medical School, Department of Learning Health Sciences
School of Public Health, Department of Health Management and Policy

Associate Professor of Learning Health Sciences, Medical School and Associate Professor of Health Management and Policy, School of Public Health

Our team leads research on the Ethical, Legal, and Social Implications (ELSI) of learning health systems and related enterprises. Our research uses mixed methods to understand policies and practices that make data science methods (data collection and curation, AI, computable algorithms) trustworthy for patients, providers, and the public. Our work engages multiple stakeholders including providers and health systems, as well as the general public and minoritized communities on issues such as AI-enabled clinical decision support, data sharing and privacy, and consent for data use in precision oncology.