Pediatrics
Showing 1-10 of 18 Results
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Kameron C. Black
Fellow in Peds/Clinical Informatics
BioDr. Kameron Black is an ABIM board-certified, first-generation Latino physician-scientist and clinical informatics fellow with a commitment to the safe deployment of agentic artificial intelligence in real-world healthcare systems. 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. His work has been covered by Forbes, Bloomberg, Anthropic (“The Briefing: Healthcare and Life Sciences” virtual event) and the Stanford Institute for Human-Centered AI (HAI). He has also served as a featured panelist and invited speaker at several events focused on agentic AI in healthcare, including AAHCM, The Healthcare Agent Summit hosted by Wedge Inc., and the AVIA Nexus collaborative series.
Research interests: implementation of agentic AI in healthcare workflows (NEJM AI, DOI: 10.1056/AIdbp2500144 & JMIR AI, DOI: 10.2196/66741), virtual care model innovation, mitigation of bias in CDS tools, and data-driven quality improvement. 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, NEJM AI, 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.
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Bethel Roba Mieso
Candidate For Affiliation, Pediatrics
Fellow in Peds/Clinical InformaticsBioBethel 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. -
Bobak Seddighzadeh
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioOver the past 13 years, Dr. Seddighzadeh has advanced biomedical innovation at Harvard, Stanford, and the Mayo Clinic, integrating emerging technologies with clinical medicine to improve patient care.
Dr. Seddighzadeh’s expertise spans genomic medicine, clinical informatics, and clinical AI. He has built enterprise-level clinical decision support systems that improve care at scale, and as part of the Stanford GUIDE-AI group and the Nigam Shah Lab, he focuses on developing AI-enabled clinical platforms for Stanford’s hospitals and clinics. His work in clinical AI includes implementation, evaluation, and safety guardrails. He also contributes to precision medicine efforts that use multi-omic data to identify disease subtypes and enable more individualized care. As part of Chan Zuckerberg Biohub, he helped build one of the world’s first complete human cell atlases.
In clinical practice, Dr. Seddighzadeh is committed to delivering outstanding internal medicine care to hospitalized patients. He approaches medicine as a craft, continually sharpening diagnostic reasoning and therapeutic decision-making in service of the best possible outcomes. He also values prevention and partners with patients to build sustainable habits that support long-term health and health span.
At New York University, Dr. Seddighzadeh received the Degree Representative Award, an honor conferred by the faculty recognizing the single graduating student with the highest overall academic achievement. He later earned a full-tuition scholarship from the founding dean to attend the University of Nevada, where he graduated with top honors in medicine. He went on to complete his internal medicine residency at Mayo Clinic where he was selected for the Resident Leadership Academy, a specialized program for residents identified across the Mayo Clinic enterprise as future leaders. There he also developed and launched the AI and Medicine Residency Track. He is currently a Clinical Informatics Fellow and internal medicine hospitalist at Stanford University.
