Literature DB >> 1756920

Evaluation of a voice recognition system for generation of therapeutic ERCP reports.

B T Massey1, J E Geenen, W J Hogan.   

Abstract

We evaluated a computerized report-generating system using voice recognition technology (EndoSpeak) for producing therapeutic ERCP reports. For 30 consecutive ERCP cases, reports using both EndoSpeak and standard dictation were generated at the end of the procedure. The cases were scored for overall difficulty and the number of component procedures performed. The time to generate a report with EndoSpeak was significantly longer than with dictation (10.0 +/- 2.9 (SD) min vs. 6.5 +/- 1.6 min, p less than 0.0001), and this difference was greater for more lengthy reports (r = 0.85, p less than 0.001). The procedure difficulty score and the number of component procedures were both significant predictors of the physician's report generation time for EndoSpeak and dictation. Dictated reports were judged to have a higher information content than EndoSpeak reports for 90% of the cases (p less than 0.00001). Several specific difficulties were encountered with the EndoSpeak software. Although EndoSpeak offers promise, substantial software modifications will be required before this system can become competitive with dictation for therapeutic ERCP reports.

Mesh:

Year:  1991        PMID: 1756920     DOI: 10.1016/s0016-5107(91)70866-3

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


  5 in total

1.  Acceptance of a speech interface for biomedical data collection.

Authors:  M A Grasso; D Ebert; T Finin
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

Review 2.  Electronic Health Record Interactions through Voice: A Review.

Authors:  Yaa A Kumah-Crystal; Claude J Pirtle; Harrison M Whyte; Edward S Goode; Shilo H Anders; Christoph U Lehmann
Journal:  Appl Clin Inform       Date:  2018-07-18       Impact factor: 2.342

3.  A continuous-speech interface to a decision support system: II. An evaluation using a Wizard-of-Oz experimental paradigm.

Authors:  W M Detmer; S Shiffman; J C Wyatt; C P Friedman; C D Lane; L M Fagan
Journal:  J Am Med Inform Assoc       Date:  1995 Jan-Feb       Impact factor: 4.497

4.  A case study in designing speech interaction with a patient monitor.

Authors:  A Jungk; B Thull; L Fehrle; A Hoeft; G Rau
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

5.  New report preparation system for endoscopic procedures using speech recognition technology.

Authors:  Toshitatsu Takao; Ryo Masumura; Sumitaka Sakauchi; Yoshiko Ohara; Elif Bilgic; Eiji Umegaki; Hiromu Kutsumi; Takeshi Azuma
Journal:  Endosc Int Open       Date:  2018-05-25
  5 in total

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