Literature DB >> 12134214

Speech recognition interface to a hospital information system using a self-designed visual basic program: initial experience.

Edward C Callaway1, Clifford F Sweet, Eliot Siegel, John M Reiser, Douglas P Beall.   

Abstract

Speech recognition (SR) in the radiology department setting is viewed as a method of decreasing overhead expenses by reducing or eliminating transcription services and improving care by reducing report turnaround times incurred by transcription backlogs. The purpose of this study was to show the ability to integrate off-the-shelf speech recognition software into a Hospital Information System in 3 types of military medical facilities using the Windows programming language Visual Basic 6.0 (Microsoft, Redmond, WA). Report turnaround times and costs were calculated for a medium-sized medical teaching facility, a medium-sized nonteaching facility, and a medical clinic. Results of speech recognition versus contract transcription services were assessed between July and December, 2000. In the teaching facility, 2042 reports were dictated on 2 computers equipped with the speech recognition program, saving a total of US dollars 3319 in transcription costs. Turnaround times were calculated for 4 first-year radiology residents in 4 imaging categories. Despite requiring 2 separate electronic signatures, we achieved an average reduction in turnaround time from 15.7 hours to 4.7 hours. In the nonteaching facility, 26600 reports were dictated with average turnaround time improving from 89 hours for transcription to 19 hours for speech recognition saving US dollars 45500 over the same 6 months. The medical clinic generated 5109 reports for a cost savings of US dollars 10650. Total cost to implement this speech recognition was approximately US dollars 3000 per workstation, mostly for hardware. It is possible to design and implement an affordable speech recognition system without a large-scale expensive commercial solution.

Mesh:

Year:  2002        PMID: 12134214      PMCID: PMC3452372          DOI: 10.1007/bf03191902

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  11 in total

1.  Quality-of-service improvements from coupling a digital chest unit with integrated speech recognition, information, and picture archiving and communications systems.

Authors:  W Pavlicek; J R Muhm; J M Collins; B Zavalkovskiy; B S Peter; M D Hindal
Journal:  J Digit Imaging       Date:  1999-11       Impact factor: 4.056

2.  Continuous speech recognition in MR imaging reporting: advantages, disadvantages, and impact.

Authors:  M R Ramaswamy; G Chaljub; O Esch; D D Fanning; E vanSonnenberg
Journal:  AJR Am J Roentgenol       Date:  2000-03       Impact factor: 3.959

3.  Do picture archiving and communication systems improve report turnaround times?

Authors:  A Mehta; K Dreyer; G Boland; M Frank
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

4.  The implementation of speech recognition in an electronic radiology practice.

Authors:  P J Lemme; R L Morin
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

5.  Evaluation of the accuracy of a continuous speech recognition software system in radiology.

Authors:  K M Kanal; N J Hangiandreou; A M Sykes; H E Eklund; P A Araoz; J A Leon; B J Erickson
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

6.  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

7.  Experience with implementation of a radiology speech recognition system.

Authors:  J D Houston; F W Rupp
Journal:  J Digit Imaging       Date:  2000-08       Impact factor: 4.056

8.  Voice recognition--an emerging necessity within radiology: experiences of the Massachusetts General Hospital.

Authors:  A Mehta; K J Dreyer; A Schweitzer; J Couris; D Rosenthal
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

9.  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

10.  Voice recognition in radiology reporting.

Authors:  L H Schwartz; P Kijewski; H Hertogen; P S Roossin; R A Castellino
Journal:  AJR Am J Roentgenol       Date:  1997-07       Impact factor: 3.959

View more
  7 in total

Review 1.  Speech recognition implementation in radiology.

Authors:  Keith S White
Journal:  Pediatr Radiol       Date:  2005-05-18

Review 2.  [Speech recognition: impact on workflow and report availability].

Authors:  C Glaser; C Trumm; S Nissen-Meyer; M Francke; B Küttner; M Reiser
Journal:  Radiologe       Date:  2005-08       Impact factor: 0.635

3.  Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction.

Authors:  Hanna Suominen; Maree Johnson; Liyuan Zhou; Paula Sanchez; Raul Sirel; Jim Basilakis; Leif Hanlen; Dominique Estival; Linda Dawson; Barbara Kelly
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

4.  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

5.  Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations.

Authors:  Hanna Suominen; Liyuan Zhou; Leif Hanlen; Gabriela Ferraro
Journal:  JMIR Med Inform       Date:  2015-04-27

Review 6.  A systematic review of speech recognition technology in health care.

Authors:  Maree Johnson; Samuel Lapkin; Vanessa Long; Paula Sanchez; Hanna Suominen; Jim Basilakis; Linda Dawson
Journal:  BMC Med Inform Decis Mak       Date:  2014-10-28       Impact factor: 2.796

7.  Introduction of digital speech recognition in a specialised outpatient department: a case study.

Authors:  Christoph Ahlgrim; Oliver Maenner; Manfred W Baumstark
Journal:  BMC Med Inform Decis Mak       Date:  2016-10-18       Impact factor: 2.796

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.