Primary Care and Population Health
Showing 401-410 of 462 Results
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Timothy Tsai
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Tsai is a board-certified family medicine physician, clinical informaticist, and trained in osteopathy. He is a clinical assistant professor in the Stanford University School of Medicine Department of Medicine – Primary Care and Population Health. Prior to joining Stanford Health Care, he obtained a Master of Management in clinical informatics from Duke University.
Dr. Tsai seeks to improve clinician workflows and patient care by applying his knowledge of clinical informatics. His innovations allow providers to quickly access, share, and document information to advance patient care. He has also held many notable leadership, educational, and quality control positions throughout his career.
Dr. Tsai investigates ways to maximize the time clinicians spend with patients. He expedites and standardizes communication between health care providers and patients through the integration of mobile devices and remote patient monitoring programs. He streamlines the documentation process by updating electronic medical record tools and creating more efficient patient questionnaires to optimize the quality of care.
He has presented his research orally or in poster format at the American Medical Informatics Association, Family Medicine Education Consortium, and American Association of Neuromuscular and Electrodiagnostic Medicine. As a medical student, Dr. Tsai developed an open online osteopathic manipulation course, enrolling over 1,200 students. As a clinical fellow at Duke, he co-authored a textbook chapter on the future of health informatics -
Geoffrey Tso
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsClinical Informatics, Generative AI, LLM, Clinical Decision Support, Digital Health, Multimorbidity, Preventive Health, Telemedicine, Telehealth, Machine Learning, Artificial Intelligence
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Crystal Unzueta, MD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Unzueta is a board-certified family medicine physician. She specializes in providing primary care services to people of all ages. Her services include annual check-ups, monitoring chronic conditions, and performing minor in-office procedures.
She is also a clinical assistant professor in the Stanford School of Medicine Department of Family Medicine.
Dr. Unzueta’s practice focuses on providing compassionate and comprehensive care. She specializes in providing bilingual and bicultural care for patients in underserved populations. She has traveled to Belize on a medical mission to provide free, basic primary care to vulnerable communities. Her mentoring work includes building a network of Latino medical students to help support each other throughout medical school. She has also worked on numerous volunteer projects, such as researching the benefits of a community yoga program for minorities in underserved areas. -
Sharif Vakili, MD, MBA, MS
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioSharif Vakili, MD, MBA, MS, (pronouns: he/him), is an internal medicine physician, clinician executive and educator. He practices at Stanford Los Altos Primary Care.
Dr. Vakili has a background in chronic disease management and health systems delivery, believing strongly in a teamwork approach to patient care that empowers patients to navigate the health system as part of their clinical care.
He is active in the research and business communities. His research has been in peer-reviewed journals including NEJM Catalyst, JAMA Network Open and the Annals of Emergency Medicine. He also teaches annually at the Stanford Graduate School of Business.
Dr. Vakili is credited with establishing and coining Remote Patient Intervention (RPI), a model of clinician-supervised AI care delivery first performed at Stanford during a clinical study published in JAMA Network Open. His work has defined the emerging field of Clinical AI, in which artificial intelligence delivers care that would otherwise be performed by a licensed practitioner.
