Skip to main content
construction release_alert
Profile editing will be unavailable for Scholars@Duke profiles from June 11-24, 2026 as manual profile data entry transitions to Elements. More information about the transition.
cancel

Jonathan Wilson

Biostatistician III
Biostatistics & Bioinformatics
Duke Box 2721, Durham, NC 27710
2424 Erwin Road, 9055 Hock Plaza, Durham, NC 27705

Overview


Education: Master Degree, Statistics.  North Carolina State University. 2016
Bachelors Degree, Economics.  Auburn University 2015

Jonathan collaborates with researchers and clinicians from the Division of General Internal Medicine in the Department of Medicine. Projects he contributes to are primarily focused on patients with chronic health conditions such as kidney disease. His statistical interests include longitudinal data analysis and studies that make use of large observational datasets such as EHR data or Medicare claims.

Current Appointments & Affiliations


Recent Publications


Comparing ambient scribes: a randomized crossover clinical trial addressing ambient scribe technologies' impact on physician burnout.

Journal Article J Am Med Inform Assoc · May 1, 2026 OBJECTIVE: This study aims to compare the effectiveness of 2 ambient AI scribe technologies in reducing physician burnout, improving workflow satisfaction, and enhancing documentation efficiency through a randomized crossover trial. MATERIALS AND METHODS: ... Full text Link to item Cite

System Interventions to Achieve Early and Equitable Kidney Transplants (STEPS): Protocol for STEPS, a randomized comparative effectiveness clinical trial.

Journal Article Contemp Clin Trials · June 2025 The System Interventions to Achieve Early and Equitable Kidney Transplants Study (STEPS) is an ongoing pragmatic clinical trial investigating the effectiveness of an equitable and patient-centered approach to kidney care on equitable access to early kidney ... Full text Link to item Cite

Distinguishing Among Causes of Death for Patients with Kidney Failure on Hemodialysis.

Journal Article Kidney360 · March 1, 2025 KEY POINTS: We found poor ability to distinguish among different causes of death using clinical information in the 30 days before death for patients on hemodialysis. We found that models of different causes of death identified similar associated clinical f ... Full text Link to item Cite
View All Publications

Recent Grants


Measuring Readiness to Reduce Disparities and Improve Quality in Primary Care (EQUIP)

ResearchBioinformatics & Data Mgmt Core Head · Awarded by National Institutes of Health · 2024 - 2028

REGARDS-MI-4

ResearchBiostatistician · Awarded by Weill Cornell Medicine · 2022 - 2026

Helping Patients Achieve Kidney Transplants through Health System Change

ResearchBiostatistician III · Awarded by Wake Forest University Health Sciences · 2023 - 2026

View All Grants

External Links


LinkedIN