Overview
Dr. Marsolo is a faculty member in the Department of Population Health Sciences (DPHS) and a member of the Duke Clinical Research Institute (DCRI). His current research focuses on infrastructure to support the use of electronic health records (EHRs) and other real-world data sources in observational and comparative effectiveness research and public health surveillance, as well as standards and architectures for multi-center learning health systems. He serves as faculty advisor to the DPHS DataShare Shared Facility and faculty lead for the Pragmatic Health Services Research (PHSR) functional group within the DCRI. Dr. Marsolo received his PhD in Computer Science from The Ohio State University, with a dissertation on data mining, specifically the modeling and classification of biomedical data.
Prior to joining DPHS, Dr. Marsolo was an an Associate Professor in the Division of Biomedical Informatics (BMI) at Cincinnati Children’s Hospital Medical Center (CCHMC). While at CCHMC, Dr. Marsolo served as faculty advisor for BMI Data Services, a shared facility that supported distributed data sharing networks and also developed registry platforms to support learning networks. These included a configurable system for capturing summary or practice-level measures, and a “data-in-once” architecture that allowed information to be collected in the EHR and then be automatically transferred to a registry in order to support chronic care management, quality improvement and research.Area of Expertise: Informatics, Data Quality, Common Data Models, Data Standards and Data Harmonization
Current Appointments & Affiliations
Recent Publications
Predictors of ischemic stroke and major bleeding among patients with atrial fibrillation in clinical practice.
Journal Article Am Heart J · May 19, 2026 BACKGROUND: Numerous risk scores exist to quantify the risk of ischemic stroke risk in patients with atrial fibrillation or flutter (AF/AFL). However, how these tools perform in cohorts or those already on oral anticoagulation (OAC) therapy is unclear. MET ... Full text Link to item CiteEvaluating fitness-for-use of electronic health records in ascertaining baseline characteristics and clinical outcomes in clinical trials: insights from the VESALIUS EHR demonstration project.
Journal Article Trials · April 25, 2026 INTRODUCTION: A tremendous amount of clinical data is collected and stored in electronic health records (EHRs). Whether this data can be harnessed at scale to facilitate clinical trial conduct remains to be seen. METHODS: The Effect of Evolocumab in Patien ... Full text Link to item CiteBeyond Missingness: Systematizing Methods for Comprehensive Data Fitness Assessment in Clinical Research.
Journal Article J Med Internet Res · April 14, 2026 Secondary use of clinical data offers unprecedented opportunities to rapidly conduct large-scale research and improve patient care. However, incomplete understanding of data quality requirements for a study often causes significant delays in executing anal ... Full text Link to item CiteRecent Grants
Comparative Effectiveness of Emerging Medications in Children with Inflammatory Bowel Disease
ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2025 - 2031Data Services for the Coordinating Center for PCORnet®"
ResearchPrincipal Investigator · Awarded by Patient-Centered Outcomes Research Institute · 2025 - 2028PCORnet Master Data Sharing Agreement
ResearchPrincipal Investigator · Awarded by Patient-Centered Outcomes Research Institute · 2025 - 2028View All Grants