Using NLP to Identify Physician Documentation Opportunities
February 23, 2017 — 12:00PM - 01:00PM EST
Orange County Convention Center
Health systems have struggled with methods to identify documentation deficiencies by physicians using electronic medical records. Natural language processing offers quality officers and clinical documentation improvement specialists an opportunity to leverage technology to identify documentation improvement opportunities. The presenter will review one medical center's experience with natural language processing to identify copy-and-paste behavior, highlight missing elements within operative reports and flag patients with signs and symptoms of clinical conditions before a healthcare worker enters a discrete diagnosis in the electronic medical record. By the end of the session, attendees will have learned how to consider applying natural language processing to specific use cases at their own organization.
Describe risks and benefits of using natural language processing for identifying gaps in physician documentation
Recognize variations in local practice that may impair the ability of natural language processing to be employed at your facility or health system
Identify methods to display quantitative information about physician documentation quality to highlight patterns and encourage physician behavior change