School of Medicine


Showing 12,431-12,440 of 12,453 Results

  • Lindsey Eileen Zimmerman

    Lindsey Eileen Zimmerman

    Affiliate, Psych/Public Mental Health & Population Sciences

    BioLindsey Zimmerman, PhD, is a Clinical and Community Psychologist, and Implementation Scientist at the National Center for PTSD, Dissemination and Training Division of the Veterans Health Administration.

    Dr. Zimmerman is principal investigator of National Institutes of Health (NIH) and Veterans Health Administration (VA) research that enlists participatory system dynamics to increase timely patient access to evidence-based pharmacotherapy and evidence-based psychotherapy for depression, PTSD, alcohol and opioid use disorder. See https://mtl.how/team



    Active NIH Grants

    Participatory System Dynamics vs Audit and Feedback: A Cluster Randomized Trial of Mechanisms Of Implementation Change to Expand Reach of Evidence-Based Addiction and Mental Health Care (R01DA046651)

    The most common reasons Veterans seek VA addiction and mental health care is for help with opioid and alcohol misuse, depression and PTSD. Research evidence has established highly effective treatments that prevent relapse, overdose and suicide, but even with policy mandates, performance metrics, and electronic health records to fix the problem, these treatments may only reach 3-28% of patients. This study tests participatory business engineering methods to better meet the addiction and mental health needs of Veterans and the U.S. population.


    Participatory System Dynamics for Evidence-Based Addiction and Mental Healthcare (R21DA042198)

    Limited access and delays to high-quality, evidence-based mental health and addiction treatments can lead to patients getting too little or ineffective care and contribute to chronic patient impairment, relapse, and death by suicide or overdose. This study evaluates a system for resolving problems with patient flow and organization in health care systems, using electronic medical record systems and a high-level of input from healthcare leadership, frontline providers and patients.


    Active VA Grants

    Participatory System Dynamics vs Usual Quality Improvement: Is Staff Use of Simulation an Effective, Scalable and Affordable Way to Improve Timely Veteran Access to High-quality Mental Health Care? (I01HX002521)

    Participatory system dynamics (PSD) helps improve quality with existing resources, critical in mental health and all VA health care. PSD uses learning simulations to improve staff decisions, showing how goals for quality can best be achieved given local resources and constraints. We aim to significantly increase the proportion of patients who start and complete evidence-based care, and determine the costs of using PSD for improvement.


    National Responsibilities

    2019 National Institutes of Health, Center for Scientific Review
    Community Influences on Health Behavior (CIHB) Study Section

    2019-present VA Quality Enhancement Research Initiative (QUERI) 
    QUERI/Health Services Research & Development, Scientific Merit Review Committee

    2019-present Emory University
    Prolonged Exposure Consultant Training Program Advisory Board

    2018-present National Institutes of Health
    Training Institute for Dissemination and Implementation Research in Health (TIDIRH)
    Mental Health Faculty Mentor

    2015-2017 National Institutes of Health Loan Repayment Program
    National Institute of Mental Health Clinical Research Review Committee



    Teaching Responsibilities

    Quality Improvement and Systems of Care Competencies
    Psychiatry & Behavioral Sciences Residency, Stanford University School of Medicine & VA Palo Alto Health Care System

    Postdoctoral Research Fellowship Program Seminar
    VA Palo Alto research centers of the National Center for PTSD (NCPTSD), Center for Innovation to Implementation (Ci2i), Mental Illness Research Education and Clinical Care (MIRECC), and War-related Illness and Injury Study Center (WRIISC).



    Open Science Resources for the Modeling to Learn Simulation Learning Program are available on GitHub at https://mtl.how and https://mtl.how/demo

  • Susan Ziolkowski, MD

    Susan Ziolkowski, MD

    Clinical Assistant Professor, Medicine - Nephrology

    BioDr. Ziolkowski is a board-certified nephrologist with a passion for caring for persons with chronic kidney disease. She is a clinical assistant professor in the Stanford Department of Medicine’s Division of Nephrology and has a special focus on treating patients with cancer and kidney disease. She is active both in research and teaching endeavors to further advance this field.

    She provides patient care at the Stanford Health Care kidney clinics in Palo Alto and Emeryville. For each patient, she prepares a care plan that is comprehensive, compassionate, and personalized to individual needs. Her goal is to help every patient achieve the best possible health and quality of life.

    Dr. Ziolkowski has co-authored articles on her research findings in the American Journal of Kidney Disease, Journal of Renal Nutrition, Peritoneal Dialysis International, and other journals. She has made presentations to her peers at meetings of the American Society of Nephrology, National Association for Research in Science Teaching, and other professional organizations.

    She enjoys running, yoga, skiing and getting outdoors.

  • Andrew Zolopa

    Andrew Zolopa

    Professor of Medicine (Infectious Diseases) at the Stanford University Medical Center, Emeritus

    Current Research and Scholarly InterestsDr. Zolopa’s research applies a variety of clinical epidemiologic methods in an effort to optimize antiretroviral therapy and understand the impact of drug resistance on response to ARV. Areas of focus include the clinical application of resistance testing in optimizing antiretroviral therapy, clinical cohorts, trials of antiretroviral therapies and population-based epidemiologic evaluation of HIV resistance and efficacy of ARV therapy. More recently studies focused on premature aging in HIV.

  • James Zou

    James Zou

    Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

    Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.

    We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.