Plenary – Best of the Best Oral Abstracts

Wednesday, October 11
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1.5 CME credits

Authors will present the highest-scored abstracts submitted for presentation at the conference. These abstracts represent the leading edge of current thought and scholarly achievement in diagnostic safety. The best oral abstract will be selected after presentation using a peer-review process.

Learning Objectives:

  • Describe cutting-edge research and innovative practice improvement and educational strategies for improving diagnosis in medicine;
  • Characterize the latest methodologies in advancing knowledge of diagnostic error and the diagnostic process.

Oral Abstract Titles and Presenting Authors

  • Implementation of Measure Dx to Accelerate Diagnostic Safety Learning and Improvement – Andrea Bradford, Baylor College of Medicine
  • A Patient-Reported Measure of Diagnostic Excellence for Emergency Care – Kelly Gleason, Johns Hopkins University School of Medicine
  • Improving Clinical Reasoning for APPs: A Longitudinal Curriculum Based on SIDM Competencies – David Klimpl, University of Colorado
  • Engaging Older Adults in Diagnostic Communication in a Primary Care Setting – Alberta Tran, MedStar Health’s Institute for Quality and Safety
  • Associations Between Patient-reported Diagnostic Concerns and Medical Record Reviews by Physicians – Viralkumar Vaghani, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine
  • Machine Learning for Enhanced Electronic Trigger Detection of Diagnostic Errors – Andrew Zimolzak, Baylor College of Medicine
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    andrea_bradford

    Andrea Bradford, PhD

    Assistant Professor
    Medicine-Gastroenterology
    Baylor College of Medicine
    Houston, TX

    Dr. Andrea Bradford is an Associate Professor in the Department of Medicine at Baylor College of Medicine, where she divides her effort between clinical and research missions. Her clinical practice focuses on behavioral interventions for adults with chronic medical conditions, whereas most of her research focuses on understanding how clinicians and systems can improve the safety of the diagnostic process. Dr. Bradford is also involved in teaching medical students and psychology trainees. She is the Editor-in-Chief of the Journal of Clinical Psychology in Medical Settings and has served on the boards of the Society for Health Psychology and the Association of Psychologists in Academic Health Centers.

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    Kelly Gleason, PhD

    Kelly Gleason, PhD, RN

    Assistant Professor
    Johns Hopkins University School of Medicine
    Baltimore, MD

    Dr. Kelly Gleason is an Assistant Professor at Johns Hopkins School of Nursing. Her approach to diagnostic quality springs from her experiences as a bedside nurse. In her work, she explores best ways to systematically hear from patients and nurses to inform diagnostic safety efforts.

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    David Klimpl, MD

    David Klimpl, MD

    Physician
    University of Colorado
    Aurora, CO

    Dr. David Klimpl, MD, MS, is an academic Hospitalist at The University of Colorado Anschutz Medical Center where he specializes in Hospitalist Advanced Practice Provider education and curriculum development.  Dr. Klimpl has built Hospitalist APP curricula in multiple academic centers including Johns Hopkins and The University of Colorado and has published multiple research articles on this topic. He is the PI of a highly successful grant funded hospitalist APP clinical reasoning curriculum and has been asked to present on his educational research nationally and internationally.  Dr. Klimpl has been awarded or nominated for five teaching awards and is a member of the Alpha Omega Alpha and Gold Humanism Honor Societies.    In his free time he enjoys cooking, skiing, and playing with his dog, Marzipan.

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    Alberta Tran, PhD, RN, CCRN

    Alberta Tran, PhD, RN, CCRN

    Senior Research Scientist
    MedStar Health’s Institute for Quality and Safety
    Columbia, MD

    Allie Tran, PhD, RN is a Senior Research Scientist with the MedStar Health Research Institute and MedStar Health Institute for Quality and Safety. Dr. Tran has a clinical background in critical care nursing, and received her PhD in nursing with a focus on health systems research at the University of North Carolina-Chapel Hill as a Robert Wood Johnson Foundation Future of Nursing Scholar. She has previously taught nursing and medical students in clinical simulation, team-based communication, health innovation, and older adult health. Dr. Tran's research is aimed at uncovering knowledge related to the organization and delivery of care in hospital and ambulatory-care settings, improving diagnostic communication and quality for older adults, and developing nurse-led interventions to improve quality and safety. She has studied other important and related health workforce issues, including nurse turnover, nurse transitions between specialty areas, travel nurse staffing, and primary care physician workforce diversity.

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    Viralkumar Vaghani, MBBS, MPH, MS

    Viralkumar Vaghani, MBBS, MPH, MS

    Biostatistician
    Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine
    Houston, TX

    Viralkumar Vaghani is a Biostatistician at the Center for Innovations in Quality, Effectiveness, and Safety (IQuESt) VA Houston and Baylor College of Medicine. His research interests include improving patient safety, developing electronic trigger algorithms to measure diagnostic errors, and application of machine learning to improve diagnosis in medicine. He is a former SIDM fellow of Diagnostic Excellence.

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    Andrew Zimolzak

    Andrew Zimolzak, MD, MMSc

    Assistant Professor
    Baylor College of Medicine
    Houston, TX

    Andrew Zimolzak is an assistant professor at Baylor College of Medicine, department of medicine, section of health services research; and the Center for Innovations in Quality, Effectiveness and Safety (IQuESt). Dr. Zimolzak has studied the secondary use of routinely collected medical data for 10 years. He has direct experience with the retrieval and analysis of data from electronic medical records from multiple health care systems, as well as medical insurance claims. This work has been applied to physicians’ delayed follow-up of patient test results, diagnostic errors in the emergency department, randomized trials of medications for hypertension and heart failure, pharmacogenomics, lung cancer genomic precision medicine, kidney failure prediction, and outcome prediction in COVID-19. Dr. Zimolzak has practiced general internal medicine in urgent care and inpatient hospital settings for over ten years. In addition to research efforts, he is a teaching hospitalist at the Michael E. DeBakey VA Medical Center in Houston. His interests include deriving accurate phenotype information from medical records, machine learning for improved efficiency of data cleaning, and research code reproducibility and sharing. He has been funded by the Gordon and Betty Moore Foundation, and the Agency for Healthcare Research and Quality.

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    Ava Liberman, MD

    Ava Liberman, MD

    Assistant Professor of Neurology
    New York Presbyterian Hospital/Weill Cornell Medicine
    New York, NY

    Dr. Ava L. Liberman is an Assistant Professor of Neurology at New York Presbyterian Hospital/Weill Cornell Medicine. Dr. Liberman earned her medical degree from SUNY Downstate College of Medicine. She completed her internship in Internal Medicine and residency in Neurology at Northwestern University serving as a Chief Resident in her final year followed by a two-year fellowship in Vascular Neurology at the Hospital of the University of Pennsylvania. She was a SIDM fellow in 2016. Dr. Liberman's research interests include healthcare delivery, implementation science, clinical decision making, diagnostic error, and headache medicine. Dr. Liberman is currently funded by a K23 career development award from the National Institute of Health and her work has been published in high-impact peer-reviewed journals.