Literature DB >> 15359751

Experience with implementation of a radiology speech recognition system.

J D Houston1, F W Rupp.   

Abstract

Recent advances in speech recognition technology have allowed development of computer systems for real-time radiologist-driven generation of reports. The transition to a speech recognition system is a technically complex process with many potential pitfalls that can decrease efficiency and disrupt workflow. In our recent experience with installation of such a system in an academic radiology department, factors that have worked against optimal performance have included environmental logistics, hardware incompatibilities, radiology information system interface problems, lack of suitable training, and inadequate technical support. Communication of our experience is intended to allow radiologists to anticipate complications of these systems and make informed decisions regarding the feasibility of such a system in their practices. With this information, potential buyers should be able to carefully scrutinize specifications for prospective systems and, by avoiding many of the possible pitfalls, make an easier transition to a speech recognition environment.

Mesh:

Year:  2000        PMID: 15359751      PMCID: PMC3452974          DOI: 10.1007/bf03168385

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


  5 in total

1.  Speech processing in radiology.

Authors:  W Hundt; O Stark; B Scharnberg; M Hold; P Kohz; A Lienemann; H Bonél; M Reiser
Journal:  Eur Radiol       Date:  1999       Impact factor: 5.315

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.  Road to voice recognition includes planning, training.

Authors:  A Mehta; K Dreyer; J Couris; J Thrall
Journal:  Diagn Imaging (San Franc)       Date:  1999-09

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

  5 in total
  8 in total

1.  Integrated voice recognition and picture archiving and communication system: development and early experience.

Authors:  D L Weiss; J Hoffman; G Kustas
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

2.  Evaluating a voice recognition system: finding the right product for your department.

Authors:  M Freeh; M Dewey; L Brigham
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

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

Authors:  Edward C Callaway; Clifford F Sweet; Eliot Siegel; John M Reiser; Douglas P Beall
Journal:  J Digit Imaging       Date:  2002-04-30       Impact factor: 4.056

Review 4.  Speech recognition implementation in radiology.

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

5.  Conceptual approach for the design of radiology reporting interfaces: the talking template.

Authors:  Chris L Sistrom
Journal:  J Digit Imaging       Date:  2005-09       Impact factor: 4.056

6.  Incidence of speech recognition errors in the emergency department.

Authors:  Foster R Goss; Li Zhou; Scott G Weiner
Journal:  Int J Med Inform       Date:  2016-05-26       Impact factor: 4.046

Review 7.  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

8.  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

  8 in total

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