School of Medicine
Showing 1-10 of 14 Results
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Kameron C. Black
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioDr. Kameron Black is a first-generation Latino physician and clinical informatics fellow with a commitment to enhancing healthcare through agentic artificial intelligence applications and culturally competent tech policy. He completed his internal medicine residency at Oregon Health & Science University (OHSU) and is currently in a fellowship program in clinical informatics at Stanford University, expected to graduate in 2026.
Research interests: virtual care model innovation, implementation of agentic AI in healthcare workflows (NEJM AI, DOI: 10.1056/AIdbp2500144 & JMIR AI, DOI: 10.2196/66741), mitigation of bias in CDS tools, data-driven quality improvement, and leveraging AI in geriatric medicine. Dr. Black holds an MPH in community and behavioral health, which enhances his focus on health equity initiatives.
Current and prior research affiliations: Massachusetts General Hospital, Harvard Medical School, and Johns Hopkins University. His scholarly contributions have been published in journals including Nature Scientific Data, JMIR, and Applied Clinical Informatics.
Clinical experience: academic medical centers, safety net FQHC hospitals, and Kaiser Permanente.
EHR proficiency: Epic Systems Physician Builder certified, Cosmos Data Science & Super User certified, as well as Cosmos Researcher badge completed.
Additional areas of research focus: Healthcare AI Agents, Medical AI Benchmarking, Clinical Workflow Automation, Healthcare Administrative Burden, Physician Burnout, Healthcare Workforce Shortage. -
Bethel Roba Mieso
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioDr. Mieso is a pediatrics-trained fellow in the Stanford University Clinical Informatics Fellowship Program, where she focuses on advancing child health equity and physician wellness. Her career has been marked by a commitment to addressing health disparities and advocating for systemic improvements in patient care and medical workforce conditions. She has held various leadership roles and played a crucial part in promoting diversity, equity, and inclusion (DEI) initiatives.
In her current fellowship, Dr. Mieso is leveraging her DEI expertise in clinical informatics, aiming to develop digital tools that enhance patient outcomes and experience. Her goal is to merge her informatics skills and advocacy experience to drive innovations that improve healthcare delivery, promote a more equitable and efficient system, and streamline electronic health record (EHR) systems to reduce provider burnout. Dr. Mieso holds a BS in Biology from San Jose State University, an MD from Case Western Reserve University School of Medicine, and completed her pediatrics residency at Stanford. -
Natalie Pageler
Clinical Professor, Clinical Informatics
Clinical Professor, Medicine - Biomedical Informatics ResearchCurrent Research and Scholarly InterestsIn my administrative role, I oversee the development and maintenance of clinical decision support tools within the electronic medical record. These clinical decision support tools are designed to enhance patient safety, efficiency, and quality of care. My research focuses on rigorously evaluating--1) how these tools affect clinician knowledge, attitudes, and behaviors; and 2) how these tools affect clinical outcomes and efficiency of health care delivery.
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Austin Schoeffler
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioAustin Schoeffler, M.D., is an emergency medicine physician and clinical informatics fellow at Stanford University. Dr. Schoeffler earned his M.D. from The Ohio State University College of Medicine and completed his Emergency Medicine Residency at University Hospitals/Case Western Reserve University in Cleveland. He is currently pursuing a two-year fellowship in Clinical Informatics at Stanford, focusing on the integration of machine learning and digital health solutions within emergency care.
Dr. Schoeffler has a strong background in both clinical operations and digital innovation. He has assisted on projects leveraging AI-driven facial recognition software for depression screening in the emergency department, and has developed digital health platforms to connect pregnant patients identified in the ED with comprehensive resources, expedited follow-up, and support through OB clinics. His operational experience includes governance and workflow optimization at his previous institution, where he contributed to initiatives enhancing patient care delivery and hospital efficiency.
His scholarly interests center on responsible AI integration, improving care transitions, and expanding access to resources for vulnerable patient populations. Clinically, he is passionate about evidence-based care, digital health, and the development of novel care delivery models in emergency medicine. -
Dennis Wall
Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsSystems biology for design of clinical solutions that detect and treat disease
