Steering Committee Biographies
Senior Advisor, Standards and Interoperability, Dept of Veterans Affairs (VHA CIDMO)
Ken Rubin is a Research Associate with the University of Utah Department of Biomedical Informatics, where his focus is on areas of health IT strategy, architecture, systems interoperability, business process management, and standards. He serves as the Executive Director of BPM+ Health and was the Director of Standards and Interoperability for the US Department of Veterans Affairs, Veterans Health Administration. With over 20 years' HIT experience as an enterprise and solution architect in industry both domestically and abroad, his focus has been health IT strategic planning, architecture, open systems, and interoperability of data, knowledge, and processes. Passionate about standards, he has held leadership roles in the Object Management Group and Logica Health and is an HL7 Fellow.
Chairman and CEO, Object Management Group
As Chairman and CEO , Bill is responsible for all of the business of the OMG, including Board activities and oversight of the OMG's neutral and open Technical Process.
Bill has been with OMG since 1989 and has worked in the computer industry in the areas of advanced hardware and software for over forty years. A frequent industry speaker, he is knowledgeable on the latest trends in Industrial IoT, Digital Twins, Augmented Reality and sustainability
Dr. Jonathan Nebeker
Acting Chief Medical Informatics Officer at Veterans Health Administration (VHA) and Professor of Medicine at the University of Utah
Dr. Nebeker is Acting Chief Medical Informatics Officer at Veterans Health Administration (VHA) and Professor of Medicine at the University of Utah. His degrees and training took place at Harvard and the University of Pennsylvania. He practices geriatrics in Salt Lake City.
He has been overall lead of lead of major elements of EHR projects at VA since 2011. He works with other federal agencies and industry associations on standards and best practices to help VHA participate in markets of health IT and content.
His research has three areas of focus: adverse drug events, human interface design, and machine learning. His work concerning the characterization, epidemiology, and prevention of adverse drug events is widely cited. Much of this work concerns how EHRs help or don't help prevent these events. Until recent recently, he focused on translating basic science of cognitive and social psychology to medical informatics and EHR design. Randomized controlled trials of his novel user-interface designs have demonstrated increased accuracy of and decreased time to diagnosis of medical conditions. He is helping incorporate these lessons into the design of decision support products. Previously, he led the establishment of VA's scientific computing center and led architectural work for technologies to support epidemiology and natural language processing. He now focuses on machine learning and artificial intelligence for human and electronic process control in support of a highly reliable, learning health system. These methods are heavily connected to and informed by BPM+