(734)-945-8726

Applications:
Learning Health Systems, Medical Informatics, Policy Research, Precision Medicine, Public Health, Social Sciences, Survey Research
Methodologies:
Algorithms, Artificial Intelligence, Data 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

Assistant Professor

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

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.