Overview
I study the meaningful use of Electronic Health Records data. My research interests sit at the intersection of biostatistics, biomedical informatics, machine learning and epidemiology. I collaborate with researchers both locally at Duke as well as nationally. I am interested in speaking with any students, methodologistis or collaborators interested in EHR data.
Please find more information at: https://sites.duke.edu/bgoldstein/
Please find more information at: https://sites.duke.edu/bgoldstein/
Current Appointments & Affiliations
Professor of Biostatistics & Bioinformatics
·
2023 - Present
Biostatistics & Bioinformatics, Division of Translational Biomedical,
Biostatistics & Bioinformatics
Associate Professor in Pediatrics
·
2020 - Present
Pediatrics, Children's Health Discovery Institute,
Pediatrics
Professor in Population Health Sciences
·
2023 - Present
Population Health Sciences,
Basic Science Departments
Member in the Duke Clinical Research Institute
·
2014 - Present
Duke Clinical Research Institute,
Institutes and Centers
Recent Publications
Building competency in artificial intelligence and bias mitigation for nurse scientists and aligned health researchers.
Journal Article Nurs Outlook · May 2, 2025 Healthcare systems are increasingly integrating artificial intelligence and machine learning (AI/ML) tools into patient care, potentially influencing clinical decisions for millions. However, concerns are growing about these tools reinforcing systemic ineq ... Full text Link to item CiteLinking Electronic Health Record Prescribing Data and Pharmacy Dispensing Records to Identify Patient-Level Factors Associated With Psychotropic Medication Receipt: Retrospective Study.
Journal Article JMIR Med Inform · March 4, 2025 BACKGROUND: Pharmacoepidemiology studies using electronic health record (EHR) data typically rely on medication prescriptions to determine which patients have received a medication. However, such data do not affirmatively indicate whether these prescriptio ... Full text Link to item CiteEthics in Patient Preferences for Artificial Intelligence-Drafted Responses to Electronic Messages.
Journal Article JAMA Netw Open · March 3, 2025 IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to physician burnout and dissatisfaction, prompting uptake of artificial intelligence (AI) to alleviate this burden. It is important to understand patient pre ... Full text Link to item CiteRecent Grants
Duke-NCCU Interdisciplinary Postdoctoral Training Program in Child Psychiatric and Neurodevelopmental Conditions Program (DN-IPT)
Inst. Training Prgm or CMEPreceptor · Awarded by National Institutes of Health · 2024 - 2029Electrophysiological biomarkers of social engagement in autism
ResearchCollaborator · Awarded by National Institutes of Health · 2024 - 2028Clinical and host microbiome features in the development of acute otitis media
ResearchCo-Mentor · Awarded by National Institutes of Health · 2023 - 2028View All Grants
Education, Training & Certifications
University of California, Berkeley ·
2011
Ph.D.