Shivam Vedak
Affiliate, Department Funds
Fellow in Graduate Medical Education
Bio
Shivam Vedak, MD, MBA, is a clinical informatics fellow and internal medicine physician at Stanford Medicine. He holds a B.S. in Biology-Neuroscience from the Schreyer Honors College at The Pennsylvania State University, and an MD/MBA dual-degree from the University of Illinois at Chicago (UIC). He trained in the UIC Internal Medicine Residency program, during which he was selected as the American College of Physicians Outstanding Resident of the Year (2022). He also won several international hackathons as head of ImmunoLynk, a pandemic-era collaborative to improve COVID testing accuracy through use of machine learning and blockchain technology.
Clinically, Dr. Vedak practices as a hospitalist physician at Stanford Health Care. He is passionate about education, digital health, and the practical implementation of novel technologies in the traditionally slow-moving health care industry. This includes improving the quality of medical education surrounding Clinical Informatics, artificial intelligence, and the business of medicine, to ensure that physicians have the appropriate knowledge to safely integrate emerging innovations into their clinical practice.
Clinical Focus
- Fellow
- Internal Medicine
Honors & Awards
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Outstanding Resident of the Year, UIC Internal Medicine Residency Program, American College of Physicians (November 2022)
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Interdisciplinary Honors in Biology and Psychology, Schreyer Honors College (May 2014)
Boards, Advisory Committees, Professional Organizations
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Resident/Fellow Representative, Stanford Graduate Medical Education Committee (2023 - Present)
Professional Education
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BS, The Pennsylvania State University, Biology-Neuroscience (2010)
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MD, University of Illinois at Chicago College of Medicine (2020)
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MBA, University of Illinois at Chicago Liautaud Graduate School of Business, Finance, Business Analytics (2020)
All Publications
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Perspectives on Artificial Intelligence-Generated Responses to Patient Messages.
JAMA network open
2024; 7 (10): e2438535
View details for DOI 10.1001/jamanetworkopen.2024.38535
View details for PubMedID 39412810
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Using a Large Language Model to Identify Adolescent Patient Portal Account Access by Guardians.
JAMA network open
2024; 7 (6): e2418454
View details for DOI 10.1001/jamanetworkopen.2024.18454
View details for PubMedID 38916895