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


CONCLUSIONS
Using speech recognition to generate chest x-ray reports reduces turnover time so reports are available while patients are in the emergency department.
Chapman
W W
WW
Dept. of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City, Utah, USA.
Aronsky
D
D
Fiszman
M
M
Haug
P J
PJ
D003658:Decision Making, Computer-Assisted; D004282:Documentation / Q000379:methods*; D004636:Emergency Service, Hospital; D006801:Humans; D008499:Medical Records / Q000706:statistics & numerical data; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D011014:Pneumonia / Q000000981:diagnostic imaging* / Q000628:therapy; D017410:Practice Guidelines as Topic; D013902:Radiography, Thoracic; D013060:Speech; D013997:Time Factors