Overview
My research career has centered on understanding how to improve delivery of new evidence-based practices in health care systems. I create study designs that integrate qualitative and quantitative methods (mixed-methods) and apply Implementation Science and System Science approaches. I currently have a developing body of academic work that uses participatory system dynamics modeling as a strategy to identify system level factors that affect development and implementation of equitable AI tools. For the VA health care system, I direct a cross-functional team that conducts rapid turnaround projects for high priority needs by VHA national, regional, and facility leaders.
Current Appointments & Affiliations
Associate Professor in Population Health Sciences
·
2022 - Present
Population Health Sciences,
Basic Science Departments
Core Faculty Member, Duke-Margolis Institute for Health Policy
·
2024 - Present
Duke-Margolis Institute for Health Policy,
University Institutes and Centers
Recent Publications
Participatory system dynamics in implementation science practice: a scoping review of methods, contexts and outcomes.
Journal Article BMJ Open Qual · May 6, 2026 BACKGROUND: This scoping review documents participatory system dynamics (PSD) applications in implementation science (IS) studies following a recent, increased integration of the two fields in the USA. It aims to illustrate 'how' and 'why' PSD modelling im ... Full text Link to item CiteImplementation Context of Outpatient Physical Therapy Clinics Preparing to Launch a New Evidence-Based Clinical Program for Knee Osteoarthritis: Findings From a National Multisite Implementation Trial.
Journal Article Arch Phys Med Rehabil · May 2026 OBJECTIVE: We evaluated implementation context to identify barriers and facilitators to delivering a new evidence-based clinical program, Group physical therapy (Group PT) for knee osteoarthritis, overall, and by rurality and facility complexity. DESIGN: B ... Full text Link to item CiteLearning From the Adoption of a Readmission Clinical Decision Support Tool: Group Model Building Approach.
Journal Article JMIR Hum Factors · April 29, 2026 BACKGROUND: Computerized clinical decision support (CDS) has the potential to improve patient outcomes by offering evidence-based guidance at the point of care-enhancing guideline adherence and diagnostic accuracy-and supporting system-level outcomes by en ... Full text Link to item CiteRecent Grants
The VA Genomic Learning Health System: Implementing genomic medicine across diverse Veteran communities.
ResearchCo Investigator · Awarded by Boston VA Research Institute, Inc. · 2024 - 2029Deprescribing Decision-Making using Machine Learning Individualized Treatment Rules to Improve CNS Polypharmacy
ResearchAdvisor · Awarded by National Institutes of Health · 2024 - 2029Bridge to Health Evaluation Plan
ResearchPrincipal Investigator · Awarded by Duke Endowment · 2025 - 2026View All Grants
Education
University of North Carolina, Chapel Hill ·
2010
Ph.D.