Literature DB >> 11141516

Computer-based speech recognition as an alternative to medical transcription.

S M Borowitz1.   

Abstract

The purpose of this report is to describe the author's experience using computerized dictation during routine outpatient medical practice. During a six-month period, patients seen by the author in the Pediatric Gastroenterology Clinic at the University of Virginia were assigned to human or computer-based transcription. Of 1,129 notes, 580 were completed by a transcriptionist and 549 by computer. The total time spent dictating and editing notes was approximately one minute more for computerized dictation than for a human transcriptionist (379.81 +/- 132.69 sec vs. 326.14 +/- 126.02 sec; P: < 0.0001). Notes generated by computer were slightly longer than notes generated by a transcriptionist (52.42 +/- 16.45 lines vs. 50. 41 +/- 16.73 lines; P: = 0.0422). Of notes generated by a transcriptionist, 139 (24 percent) were completed within two days of the visit, whereas all notes generated by computer were completed on the day of the visit.

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Mesh:

Year:  2001        PMID: 11141516      PMCID: PMC134595          DOI: 10.1136/jamia.2001.0080101

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  5 in total

1.  Comparative evaluation of three continuous speech recognition software packages in the generation of medical reports.

Authors:  E G Devine; S A Gaehde; A C Curtis
Journal:  J Am Med Inform Assoc       Date:  2000 Sep-Oct       Impact factor: 4.497

2.  Continuous speech recognition for clinicians.

Authors:  A Zafar; J M Overhage; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

3.  Status of Voicetype Dictation for Windows for the emergency physician.

Authors:  N J Zemmel; S M Park; J Schweitzer; J S O'Keefe; M M Laughon; R F Edlich
Journal:  J Emerg Med       Date:  1996 Jul-Aug       Impact factor: 1.484

4.  Computer-based speech recognition as a replacement for medical transcription.

Authors:  D I Rosenthal; F S Chew; D E Dupuy; S V Kattapuram; W E Palmer; R M Yap; L A Levine
Journal:  AJR Am J Roentgenol       Date:  1998-01       Impact factor: 3.959

Review 5.  Dictation software for MDs improving but frustration still part of the program.

Authors:  T Kovesi
Journal:  CMAJ       Date:  1998-04-21       Impact factor: 8.262

  5 in total
  8 in total

1.  Clictate: a computer-based documentation tool for guideline-based care.

Authors:  Kevin B Johnson; John Cowan
Journal:  J Med Syst       Date:  2002-02       Impact factor: 4.460

2.  Using natural language processing to analyze physician modifications to data entry templates.

Authors:  Adam B Wilcox; Scott P Narus; Watson A Bowes
Journal:  Proc AMIA Symp       Date:  2002

3.  Speech recognition as a transcription aid: a randomized comparison with standard transcription.

Authors:  David N Mohr; David W Turner; Gregory R Pond; Joseph S Kamath; Cathy B De Vos; Paul C Carpenter
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

Review 4.  The use and interpretation of quasi-experimental studies in medical informatics.

Authors:  Anthony D Harris; Jessina C McGregor; Eli N Perencevich; Jon P Furuno; Jingkun Zhu; Dan E Peterson; Joseph Finkelstein
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

5.  Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions.

Authors:  Feifan Liu; Gokhan Tur; Dilek Hakkani-Tür; Hong Yu
Journal:  J Am Med Inform Assoc       Date:  2011-06-24       Impact factor: 4.497

6.  Asynchronous Speech Recognition Affects Physician Editing of Notes.

Authors:  Kevin J Lybarger; Mari Ostendorf; Eve Riskin; Thomas H Payne; Andrew A White; Meliha Yetisgen
Journal:  Appl Clin Inform       Date:  2018-10-17       Impact factor: 2.342

7.  Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences.

Authors:  Yaron D Derman; Tamara Arenovich; John Strauss
Journal:  BMC Med Inform Decis Mak       Date:  2010-08-25       Impact factor: 2.796

8.  PhenoPad: Building AI enabled note-taking interfaces for patient encounters.

Authors:  Jixuan Wang; Jingbo Yang; Haochi Zhang; Helen Lu; Marta Skreta; Mia Husić; Aryan Arbabi; Nicole Sultanum; Michael Brudno
Journal:  NPJ Digit Med       Date:  2022-01-27
  8 in total

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