School of Medicine
Showing 161-170 of 189 Results
Maisa Ziadni, PhD
Instructor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsDevelopment and testing of novel interventions for chronic pain.
Understanding mechanisms of treatment among patients with chronic with pain.
Understanding predictors of opioid use among patients with chronic pain.
Clinical Assistant Professor, Medicine - Gastroenterology & Hepatology
BioI am initially a Pittsburgh, PA native, but have been at Stanford University since 2012 for residency, fellowship, and now as faculty. It is exciting to be affiliated with one of the most dynamic and innovative medical institutions worldwide.
My clinical and research interests focus on functional, motility, and esophageal disorders of the gastrointestinal tract. Outside of this sub-sub specialization, a significant portion of my practice is also devoted to the care of a broad range of “general gastroenterology” concerns.
Functional, motility, esophageal, and general gastroenterology disorders are very common, and can cause significant disability. Some examples include irritable bowel syndrome, functional dyspepsia, gastroparesis, chronic nausea, chronic constipation, achalasia, and gastroesophageal reflux disease.
Despite the common nature of these disorders, many are not well understood, leading to frustration among both patients and clinicians alike. Furthermore, there is an incorrect stigma associated with some of these disorders that “it is all in your head.” On the opposite side of the spectrum, there is sometimes an incorrect assumption that we will be able to pinpoint an exact underlying cause in all cases, but this is not possible with current technology. We aim to bridge this gap using the latest diagnostic testing and treatment paradigms, as well as a healing hand. Additionally, our group is actively engaged in multiple research projects and studies to drive the future of the field.
Though I am early in my career, I am hoping that by the end the field will look nothing like it does today. I am hopeful, and I believe that we can revolutionize the field to better characterize gastrointestinal disorders, and come up with highly effective targeted treatments.
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.
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
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