Dr. Russ Waitman is a Professor of Health Management and Informatics and Associate Dean for Informatics at the University of Missouri-Columbia, and theBiomedical and Health Informatics at the University of Missouri-Kansas City where he directs the Center for Health Insights. He also serves as scientific director at the Tiger Institute for Health Innovation; a private-public partnership between Cerner Corporation and the University of Missouri. Dr. Waitman has extensive experience in clinical system application development, and deployment. His expertise includes data repository construction, governance, and privacy preservation. He led the development of the Computerized Provider Order Entry project at Vanderbilt University, and furthered the system commercialization effort. His current research interests are clinical decision support, knowledge discovery, and creating information environments to support personal health, research, and patient safety.
Dr. McClay is a Chief Research Informatics Officer for the School of Medicine, with academic home in HMI, alongside a concurrent appointment with the Department of Emergency Medicine. Dr. McClay joined from the University of Nebraska Medical Center (UNMC) where served as Professor, with research/professional interests in Clinical Informatics, Information Standards in Emergency Medicine, and Comparative Effectiveness Research. Dr. McClay serves as co-chair of the HLT Emergency Care Work Group (ECWG), which led the ECWG in the creation of the EDIS-Functional Profile, the DEEDS specification, and the EC DAM informative ballot. He has o worked closely with the emergency medicine specialty society to continue to expand the portfolio of Emergency Care related standards, support the FHIR clinical initiatives, and represent the emergency care community in HL7 projects.
Dr. VanWormer is a behavioral epidemiologist with research interests in the primary prevention of chronic diseases, with a particular focus on community-level surveillance and lifestyle interventions. For the past 12 years, he has worked at the Marshfield Clinic Research Institute as a Research Scientist in the Center for Clinical Epidemiology & Population Health. He has led and assisted with many health promotion and disparities projects focused on obesity, medication use, and vaccinations, among others. Dr. VanWormer is also an investigator member of the national Health Care Systems Research Network and the University of Wisconsin’s Institute for Clinical and Translational Research. Prior to his work in Marshfield, Dr. VanWormer was the Director of the Heart of New Ulm Project, a successful initiative led by Allina Health and the Minneapolis Heart Institute Foundation to prevent cardiovascular disease in rural Minnesota.
Abu Saleh Mohammad Mosa, PhD is the Sr. Director of Informatics Technology at the NextGen Biomedical Informatics (NextGen BMI) Center at the University of Missouri School of Medicine. He is an Associate Professor of Biomedical Informatics, an Adjunct Associate Professor of Electrical Engineering and Computer Science, a member of the Core Faculty of the Institute for Data Science and Informatics. Previously, Dr. Mosa served as the Director of Research Informatics for the School of Medicine and the Institute for Clinical and Translational Science since 2013. Dr. Mosa obtained his Bachelor’s degree in Computer Science and Engineering from the Bangladesh University of Engineering and Technology, followed by a Master’s degree in Computer Science from the University College Dublin, and a Doctoral degree in Health Informatics from the University of Missouri. Dr. Mosa received the NIH Data Science Rotations for Advancing Discovery (RoAD-Trip) Fellowship in 2018 and received the honor of 2020 inductee of the Fellow of American Medical Informatics Association (FAMIA). Dr. Mosa served as the principal investigator (PI) and co-investigator for numerous extramural research grants funded by PCORI, NIH, AHRQ, State of Missouri, and industry partners. He also serves as the site-PI for MU’s participation in the Greater Plains Collaborative (GPC) PCORNet Clinical Research Network, which is a national healthcare data infrastructure grant funded by PCORI. His research interests fall within the subdiscipline of biomedical informatics for supporting the mission of biomedical and clinical research, which include: (a) the application of data science techniques for real-world data management, warehousing and mining for developing, implementing and disseminating the 21st century data-driven research infrastructure, and (b) the innovative uses of EHR to support clinical and translational research and the learning health system, with the goal of healthcare innovation, patient-centered outcomes improvement and precision medicine application. He has extensive research expertise in large scale healthcare data management, warehousing, and mining. These ranges from the development of clinical research data warehouse for institutional electronic health record data to the establishment of data coordinating center for prospective electronic data collection in clinical studies.
Jacob Kean, PhD, is an Associate Professor in Health System Innovation and Research, Department of Population Health Sciences, University of Utah, and Research Scientist, VA Informatics and Computing Infrastructure (VINCI) Salt Lake City VA Health Care System. Dr. Kean leads Analytics and Evaluation for Population Health, University of Utah Medical Group and focuses his research on the creation, implementation and operation of research networks and learning health systems to improve patient-centered outcomes, with a special focus on rehabilitation populations. Following the completion of his doctorate degree, Dr. Kean served as a Visiting Scientist at the Boston University Rehabilitation Outcomes Center, a Visiting Scholar at the Center for Rehabilitation Research Using Large Datasets at the University of Texas Medical Branch, an NIH Training Institute for Dissemination and Implementation Research in Health (TIDIRH) fellow, and completed a post-doctoral Master’s degree in Measurement, Evaluation, Statistics and Assessment (MESA) at the University of Illinois – Chicago.
Abbey Sidebottom is a Principal Research Scientist at Allina Health. Dr. Sidebottom holds an MPH and PhD in epidemiology from the University of Minnesota. Dr. Sidebottom has worked at Allina Health since 2009. Dr. Sidebottom currently leads the Care Delivery Research department which conducts investigator initiated research focused on evaluating models of care, improving patient outcomes, and improving health equity. Major focus areas of Dr. Sidebottom’s research include prenatal care, labor and delivery, postpartum care, cardiovascular disease prevention, and emergency department care. Examples of studies conducted by Dr. Sidebottom include an examination of perinatal depression screening across the health system identifying significant racial disparities, an evaluation of maternal and neonatal outcomes in hospital-based deliveries with water immersion, and evaluation of a 10-year community based cardiovascular risk reduction intervention in a rural community (the Heart of New Ulm Program).
Dr. Benjamin Horne is a Clinical Associate Professor (Affiliated) at Stanford University who is based at the Intermountain Medical Center Heart Institute in Salt Lake City, UT, where he serves as the Director of Cardiovascular and Genetic Epidemiology. His doctoral training (PhD) in genetic epidemiology was completed at the University of Utah and he holds master’s degrees in public health and in biostatistics. Dr. Horne is a fellow of the American Heart Association and a fellow of the American College of Cardiology. Dr. Horne’s research focuses on population health and precision medicine, including evaluating the genetic epidemiology of heart diseases, developing and implementing clinical decision tools for personalizing medical care, discovering the human health effects of intermittent fasting, and studying the influences of air pollution on major adverse health events.
Site PI: Phillip R.O. Payne, PhD
Institution: Washington University School of Medicine
Dr. Payne is the Associate Dean for Health Information and Data Science and Chief Data Scientist at the Washington University School of Medicine. In addition, he is the Janet and Bernard Becker Professor and founding Director of the school’s Institute for Informatics (I2). He holds additional appointments as a Professor of General Medical Sciences and Computer Science and Engineering. He is the author of over 230 publications, and his research, innovation, and workforce development experience spans a broad spectrum, including: 1) machine learning and cognitive computing approaches to the discovery and analysis of bio-molecular and clinical phenotypes; 2) interventional approaches to the use of electronic health records and clinical decision support systems; 3) human factors and workflow issues surrounding the optimal use of healthcare information technology; and 4) the design and evaluation of data sharing and analytics platforms that enable the operation of agile, high-value healthcare delivery systems and research enterprises. He is an elected fellow of the American College of Medical Informatics (ACMI), American Medical Informatics Association (AMIA), American Institute for Medical and Biological Engineering (AIMBE), and International Academy of Health Sciences Informatics (IAHSI).
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To cite/acknowledge the GPC, please use the following citation:
Suggested acknowledgement: “The dataset(s) used for the analyses described were obtained from the Greater Plains Collaborative, which is supported by the Patient Centered Outcomes Research Institute (RI-MISSOURI-01-PS1) and institutional funding from its member organizations.”