GIM Fellowships: Health Services & Outcomes Research

Health Outcomes & Policy

Offering training for clinicians who want to drive policy-relevant research and partnerships to improve health and health care. The goal of the program is to advance the scientific knowledge necessary to promote population health, improve healthcare outcomes, and develop sound public policies to achieve higher quality health care at a lower cost.

Sub-Track Leader:
David Edelman, MD
"Duke NCSP seeks to train inter-professional clinician scholars in data-driven inquiry, policy-impactful and rigorous investigation, sensitive community-based participatory research, and transform health care practice."

Health Services Research & Delivery

This 2-3 year fellowship is for physician scholars with an interest in training in health services research. The primary goal of this post-doctoral fellowship is to perform high-quality health services research with expert mentorship from members of our 30+ core faculty.

Sub-Track Leader:
David Edelman, MD
"Health Services Researchers identify patient, provider, and system factors that affect health outcomes and build interventions to improve those outcomes. Recent fellows studied the following: 1) effects of corporate consolidations of dialysis clinics on access to dialysis care; 2) internet use among older patients; and 3) best strategies for talking to patients about how much their cancer care will cost them."

Population-Based Translational Science

This two-year fellowship for physician scholars with an interest in training in clinical or translational research. The primary goal of the fellowship is for trainees to perform high-quality health services research with expert mentorship from any of the hundreds of outstanding Duke faculty members with expertise in clinical or translational research.

Sub-Track Leader:
David Edelman, MD
"The Clinical and Translational Research Institute funds up to three awards per year for 2-year fellowships in clinical or translational research. Priorities include fellows interested in utilizing cutting edge analytical techniques for large datasets, those with a background in basic or translational research interested in transitioning their work into clinical or health services research, and those interested in health disparities research."