Based in Scottsdale, Arizona, Dr. Jonathan “Jon” Komar has leveraged his MD to treat spine and musculoskeletal issues. Currently guiding the consulting practice OptiMed Solutions, Dr. Jonathan Komar focuses on clinical and business optimization strategies that maximize what electrical health record (EHR) platforms are capable of.
One article in late 2021 by University of Arizona College of Medicine-Phoenix Clinical Informatics Fellowship Program Director Dr. Hamed Abbaszadegan brings focus to the potential of AI in enabling natural language processing (NLP) as an asset in the health IT space. Integrated within platforms such as Google Assist and Siri for many years, NLP has yet to be meaningfully utilized within many areas of medicine. One area where NLP has gained traction is in voice recognition technology for documentation-gathering applications. During the COVID-19 pandemic, the need for a robust NLP platform has become clear, as it can help track COVID-19 cases across a sometimes fragmented health system. One example has involved the Department of Veterans Affairs developing a National Surveillance Tool that relies on NLP algorithms to identify select text and language, with a focus on COVID-19 tests across various health care systems. In the city of Phoenix, for example, a patient who takes a test at a facility operated by Banner Health and subsequently undergoes a telehealth consultation at the VA hospital will find that their history of present illness (HPI) and documentation of recent COVID-19 testing follow them across systems. The clinical applications of such a system extend to broader realms of medicine, including cancer navigation. In a LinkedIn response to the article, Dr. Komar queries whether opportunities exist for collaborating on the data with the Department of Public Health.
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AuthorJonathan Komar, MD, has involved himself as an active voice in the medical community throughout his career. Archives
March 2022
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