Health Implementation devises and manages the overall process by which promising precision health discoveries are integrated into Michigan Medicine patient care and health systems throughout the state of Michigan, as well as informing improvements in health care nationwide. Leaders and providers throughout the health system are key partners in the success of this initiative.
Leadership:
Michael Sjoding, M.D., M.Sc.Associate Director for Implementation
Michel Burns, PhD, MD
Assistant Director for Implementation Operations
Health Implementation Goals:
- Identify barriers to the evaluation of algorithms, AI, clinical therapeutics, novel diagnostics, and process redesign interventions in IRB-approved patient populations at Michigan Medicine
- Identify and correct data source limitations that prevent implementation science
- Design an open-source decision support and visualization framework that allows integration of electronic health records, social determinants of health, digital phenotype, and genetics with novel algorithms to provide clinical decision support at the point of care
- Enable novel algorithms and AI to be exposed and tested in micro-randomization trials of patients and providers at Michigan Medicine
- Implement the decision-support system throughout various Michigan Medicine clinical settings, enabling campus researchers to work with patients and providers with a range of scientific needs
- Enable at-scale implementation science of precision health data streams at Michigan Medicine clinical sites
- Partner with statewide Collaborative Quality Initiatives (CQIs) led by U-M faculty to disseminate advances in clinical guidelines, decision support tools, clinical therapeutics, and novel diagnostics
- Work with payers and policymakers to identify and overcome financial and regulatory barriers to implementation of reproducible, generalizable evidence
- Enhance U-M’s reputation in implementation science and precision health implementation via peer-reviewed publications and enhanced competitiveness for sponsored research