Improving Health IT Safety through the Use of Natural Language Processing to Improve Accuracy of EHR 8337 Event date: 2/7/2017 2:00 PM - 3:30 PM Export event Alyssa Thomas post on Tuesday, January 10, 2017 | Categories: EHR Implementation, HIT Events An AHRQ Web Conference Web Conference on Improving Health IT Safety through the Use Natural Language Processing to Improve Accuracy of EHR Documentation Objectives: Discuss the development and evaluation of an enhanced electronic note system that leverages voice recognition and NLP technologies to create electronic physician notes in the EHR. Discuss the challenges of introducing speech recognition technology into existing medical culture and current clinician workflow, including user preferences and the quality of documents generated by this technology. Explain the need for an automated error detection system using NLP for improving the accuracy and quality of speech recognition generated medical documents, and discuss the development and evaluation of such a system. Presenters: Thomas Payne, M.D., Professor of Medicine; Adjunct Professor, Departments of Health Services and Biomedical Informatics and Medical Education; Medical Director, Information Technology Services, University of Washington Li Zhou, M.D., Ph.D., Assistant Professor of Medicine, Harvard Medical School, Brigham and Women's Hospital Moderator: Chris Dymek, Ed.D., Director, Health IT Division, Agency for Healthcare Research and Quality Resource Links Link to the recorded web conference Link to the web conference slides Link to the web conference Q&A Tags: EHRHealth ITAHRQelectronic health recordsnatural language processing Print Previous Article Provider Engagement for Health Centers: Turning EHR from A Barrier to Benefit Next Article Enabling Services Data Collection Related Resources HITEQ On the Horizon: Environmental Preparedness for Health Centers HITEQ On the Horizon: What is the future of AI in Health Centers? Collection Sensitive Information and the Electronic Patient Record Health IT Optimization for Effective PrEP Services ONC & CDC Integration Framework
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