Chapman W W, Aronsky D, Fiszman M, Haug P J
Dept. of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City, Utah, USA.
Proc AMIA Symp. 2000:131-5.
Evaluate the effect of a radiology speech recognition system on a real-time computerized guideline in the emergency department.
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.
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.
Using speech recognition to generate chest x-ray reports reduces turnover time so reports are available while patients are in the emergency department.
评估放射科语音识别系统对急诊科实时计算机化指南的影响。
我们收集了六周内急诊科为患者生成的所有胸部X光报告（n = 727份）。我们将同时生成的报告分为通过语音识别生成的报告和通过传统听写生成的报告。我们比较了这两组报告在患者急诊科就诊期间的可用性和可读性。
语音识别生成的报告在患者就诊期间的可用次数比传统听写生成的报告多七倍。使用语音识别将报告周转时间从12小时33分钟缩短至2小时13分钟。两种报告的可读性得分相同。
使用语音识别生成胸部X光报告可缩短周转时间，以便在患者仍在急诊科时就能获取报告。
