A National Web Conference on Improving Health IT Safety through the Use Natural Language Processing to Improve Accuracy of EHR Documentation

Event Details

  • Date: February 7, 2017
  • Time: 2:00pm to 3:30pm

Presenters:

  • Thomas Payne, M.D., Li Zhou, M.D.,

Description:

This Web Conference discusses the development of innovative tools and methods designed to advance health IT safety through improved EHR documentation. Presenters discuss evaluation strategies and findings for a voice-generated enhanced electronic note system and describe concepts related to the use of natural language processing (NLP) technologies for improving accuracy and timeliness of EHR embedded notes and documents.

Learning Objectives:

At the conclusion of this Web Conference, participants should be able to:

  1. 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. 
  2. 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. 
  3. 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.

Event Materials:

  • Presentation Slides (PDF, 2.4 MB)
  • Q&A (PDF, 544 KB)

CME/CNE credits were approved for those who attended the live event of this Web conference only. If you have any questions about obtaining CME/CNE credit for this webinar, please send an email to DigitalHealthcareResearch@ahrq.hhs.gov.