Full Name
Thomas Payne MD, FACMI
Job Title
Medical Director, IT Services
Company
UW Medicine
Speaker Bio
Thomas Payne is a primary care internist, Professor of Medicine and the Medical Director for Information Technology Services at University of Washington Medicine. He is Past Board Chair of the American Medical Informatics Association (AMIA).
Dr. Payne’s major professional interest is the use and evaluation of clinical computing systems, especially electronic health records (EHRs) in patient care, clinical research, and quality improvement. He graduated from Stanford and received his medical degree from the University of Washington. He completed his residency in medicine at University of Colorado and an NLM fellowship in Medical Information Science at Massachusetts General Hospital and Harvard School of Public Health.
He chaired the AMIA EHR 2020 Task Force and is currently on the faculty of the AMIA Clinical Informatics Board Review course. He is the Associate Director of the UW Medicine Center for Scholarship in Patient Care Quality and Safety, where he partners with colleagues from the UW Washington School of Medicine and College of Engineering to explore ways to write better and more accurate clinical notes and apply natural language processing tools to content of notes.
Dr. Payne’s major professional interest is the use and evaluation of clinical computing systems, especially electronic health records (EHRs) in patient care, clinical research, and quality improvement. He graduated from Stanford and received his medical degree from the University of Washington. He completed his residency in medicine at University of Colorado and an NLM fellowship in Medical Information Science at Massachusetts General Hospital and Harvard School of Public Health.
He chaired the AMIA EHR 2020 Task Force and is currently on the faculty of the AMIA Clinical Informatics Board Review course. He is the Associate Director of the UW Medicine Center for Scholarship in Patient Care Quality and Safety, where he partners with colleagues from the UW Washington School of Medicine and College of Engineering to explore ways to write better and more accurate clinical notes and apply natural language processing tools to content of notes.