Stanford University
Showing 1-10 of 19 Results
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Deeksha Suresh Bidare
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioGeneral Surgery PGY-1
Stanford Medicine - Department of Surgery
M.D. | Baylor College of Medicine, 2023
B.S. in Biochemistry and Cell Biology | Rice University, 2019 -
Kameron C. Black
Fellow in Peds/Clinical Informatics
BioDr. Kameron Black is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University School of Medicine, where his research focuses on the safe deployment of agentic artificial intelligence in real-world healthcare systems. He completed his Internal Medicine residency at Oregon Health & Science University and fellowship in Clinical Informatics at Stanford Health Care prior to joining the faculty. His clinical expertise is in the care of adult patients admitted to the inpatient general medicine services.
Dr. Black is a leader in the deployment and evaluation of agentic AI in healthcare. His research has been featured by Anthropic, Forbes, Bloomberg, and the Stanford Institute for Human-Centered AI. He has published scholarly work in journals including NEJM AI, Nature Medicine, npj Health Systems, JMIR AI, Nature Scientific Data, and Applied Clinical Informatics. Previously, he held research roles at Massachusetts General Hospital, Harvard Medical School, and Johns Hopkins University. Dr. Black has delivered invited talks and participated in panels on agentic AI in healthcare for the American Academy of Home Care Medicine, the Healthcare Agent Summit hosted by Wedge Inc., and others.
Beyond his research, Dr. Black is dedicated to advancing undergraduate medical education (UME). He co-founded one of the nation's first longitudinal digital health curricula for medical students. Today, he continues to lecture at the UME level and across various departments at Stanford Medicine on agentic AI, the Cosmos data science platform, and other related topics.
He is certified across Epic's analytics and build tools, including Physician Builder and the Cosmos data science platform.
Additional areas of research focus: Medical AI Benchmarking, Clinical Workflow Automation, Healthcare Administrative Burden, Physician Burnout, Healthcare Workforce Shortage.
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Bethel Roba Mieso
Fellow in Peds/Clinical Informatics
BioBethel R. Mieso, MD is a general pediatrician and clinical informatics fellow at Stanford Medicine whose work sits at the intersection of operational informatics, artificial intelligence ethics, pediatric care, and health equity. Dr. Mieso has played a key role in the enterprise-wide rollout of DAX Copilot at Stanford, leading ethical and regulatory guidance, trainee deployment, and patient-facing education. She has led a post-deployment evaluation of program director AI scribe policies across training programs, with findings informing strategic guidance for GME leaders nationwide–work that extends to her contributions to a national multi-institutional collaborative on AI in graduate medical education. Her research centers patient and family perspectives of ambient AI scribes in pediatric settings, shaping how health systems approach consent, communication, and trust with AI-assisted care.
Dr. Mieso's work merges operational informatics with strategic AI implementation–streamlining clinical workflows, reducing provider burden, and ensuring that emerging technologies serve patients equitably. She 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 Medicine. -
Natalie Pageler
Clinical Professor, Clinical Informatics
Clinical Professor, Computational MedicineCurrent 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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Naveed Rabbani
Adjunct Clinical Assistant Professor, Clinical Informatics
BioDr. Naveed Rabbani is a physician executive in health information technology and medical AI researcher. He currently serves as Associate Chief Medical Information Officer at Sutter Health, a large nonprofit health system in California. In this role, he leads a portfolio of enterprise-wide clinical IT programs including ambient documentation and generative AI implementation. He also holds a research appointment at Harvard Medical School in the Department of Biomedical Informatics. A nationally recognized expert in health information technology, Dr. Rabbani is an Executive Committee Member for the American Academy of Pediatrics' Council on Clinical Information Technology and the Epic EHR Pediatric Primary Care Steering Board. As adjunct faculty at Stanford, he teaches in the Clinical Informatics Fellowship in the School of Medicine and conducts research in the Division of Clinical Informatics. Dr. Rabbani holds a BS in Electrical Engineering from Stanford University and an MD from Harvard Medical School.
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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 is currently critically evaluating the impact of ambient AI scribes on clinical care and helping to create the first AI benchmark for emergency medicine. 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, innovation, building the future of digital health technology, and expanding access to populations not traditionally reached by existing clinical infrastructure. He is committed to fostering industry-academic partnerships, rigorously evaluating emerging AI tools, and benchmarking AI products for deployment in acute care settings. Clinically, he is passionate about evidence-based care, digital health, and the development of novel care delivery models in emergency medicine.
