Contribution of a speech recognition system to a computerized pneumonia guideline in the emergency department

Proc AMIA Symp. 2000:131-5.

Abstract

Objective: Evaluate the effect of a radiology speech recognition system on a real-time computerized guideline in the emergency department.

Methods: We collected all chest x-ray reports (n = 727) generated for patients in the emergency department during a six-week period. We divided the concurrently generated reports into those generated with speech recognition and those generated by traditional dictation. We compared the two sets of reports for availability during the patient's emergency department encounter and for readability.

Results: Reports generated by speech recognition were available seven times more often during the patients' encounters than reports generated by traditional dictation. Using speech recognition reduced the turnover time of reports from 12 hours 33 minutes to 2 hours 13 minutes. Readability scores were identical for both kinds of reports.

Conclusion: Using speech recognition to generate chest x-ray reports reduces turnover time so reports are available while patients are in the emergency department.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Decision Making, Computer-Assisted*
  • Documentation / methods*
  • Emergency Service, Hospital
  • Humans
  • Medical Records Systems, Computerized
  • Medical Records* / statistics & numerical data
  • Natural Language Processing
  • Pneumonia / diagnostic imaging*
  • Pneumonia / therapy
  • Practice Guidelines as Topic
  • Radiography, Thoracic*
  • Speech*
  • Time Factors