School of Medicine
Showing 31-40 of 41 Results
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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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Shriti Raj
Assistant Professor of Medicine (Computational Medicine)
BioShriti is an Assistant Research Professor in Stanford’s Center for Biomedical Informatics Research and a Junior Faculty Fellow at the Institute for Human-Centered AI. Her research focuses on developing and evaluating human-centered decision-support techniques to help patients and clinicians make health data and algorithms actionable. She is particularly interested in creating tools to support the use of wearable health data and studying their impact on chronic condition management.
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Paul Schmiedmayer
Instructor, Computational Medicine
Research Engineer, School of Medicine - MDRP'S - Biodesign ProgramCurrent Research and Scholarly InterestsDr. Schmiedmayer's research investigates scalable, intelligent, data-driven systems that leverage patient data and connected devices to provide real-time, personalized healthcare. He aims to validate these solutions by deploying AI-based models on resource-constrained, patient-facing devices, such as smartphones and smart devices, ensuring that personalized medicine is both cost-effective and privacy-preserving.
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Nigam H. Shah, MBBS, PhD
Professor of Medicine (Computational Medicine), of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsWe answer clinical questions using aggregate patient data at the bedside. The Informatics Consult Service (https://greenbutton.stanford.edu/) put this idea in action and led to the creation of Atropos Health. We build predictive models that allow taking mitigating actions, keeping the human in the loop.