Jonathan Nebeker, MD, MS

ï Dr. Nebeker is CMIO at Department of Veterans Affairs and tenured Professor of Medicine at University of Utah. He completed his BA and internal-medicine training at Harvard and MD and MSEd at the University of Pennsylvania. He practices geriatrics and epidemiology. In AMIA, he helps lead the Health System Task Force (focused on meeting needs of applied informatics leaders, managers, and practitioners) and supports the Clinical Informatics Community of Practice and WISH/Student Design competition. ï/ï As Acting National CMIO of Veterans Health Affairs (and permanent Deputy CMIO), he directs a large and diverse staff in informatics patient safety, health information exchange, process and human factors engineering, informatics standards, terminology, decision support, technology configuration and deployment, workforce development, and various clinical IT applications. He is developing a new clinical-data-management program, leading many VA-DoD engagements, and co-leading VHA's strategic investment and governance committee for data and analytics. He is working with researchers to establish a value-driven informatics operation for evidence-based optimization of clinical-informatics practice in a healthcare system. He was previously the user-experience lead for the VA-DoD EHR collaboration and more recently clinical director and product manager/functional architect of VAís large, custom EHR modernization program based on an EHR overlay for decision support and user experience. ï/ï He is a leader in advanced interoperability initiatives. He served on ONCís Health IT Policy Committee and now on the Health IT Advisory Committee. He serves on the board of Logica Health, which is focused on semantic interoperability and reference architecture for interoperable data-orchestration platforms. He promotes best practices for interoperable, computable, business-process representation for clinical pathways and processes at Object Management Group. ï/ï He has led major operations-based R&D projects. For example, he established the VA's national scientific computing and analysis infrastructure (VINCI) with a focus on NLP tools. He is currently leading AI/machine learning collaborations with Oak Ridge National Labs for active health-IT safety surveillance, BPM+ based process mining and decision support for clinical pathways, and micro-process architecture for computerized decision support. ï/ï His competitively funded research has focused on the epidemiology of adverse drug events, predictive modeling for clinical events, and EHR design. For example, he has found that computerized interventions to prevent adverse drug events still permit high rates of drug-related harm. For EHR design, he has translated theoretical frameworks from cognitive and social psychology to clinical informatics. In randomized controlled trials, users of his interfaces have completed their work faster with more accurate assessments of patient status compared to traditional tab-based or table-based EHRs interfaces. He collaborates with researchers across the nation in a variety of informatics and epidemiological studies.