Pediatrics
Showing 1-10 of 13 Results
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Kameron C. Black
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioDr. 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, Anthropic (“The Briefing: Healthcare and Life Sciences” virtual event) and the Stanford Institute for Human-Centered AI (HAI).
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
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, 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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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. -
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
