Literature DB >> 18437491

Improvement of report workflow and productivity using speech recognition--a follow-up study.

Tomi Kauppinen1, Mika P Koivikko, Juhani Ahovuo.   

Abstract

Speech recognition (SR), available since the 1980s, has only recently become sufficiently reliable to allow utilization in medical environment. This study measured the effect of SR for the radiological dictation process and estimated differences in report turnaround times (RTTs). During the transition from cassette-based reporting to SR, the workflow of 14 radiologists was periodically followed up for 2 years in a university hospital. The sample size was more than 20,000 examinations, and the radiologists were the same throughout the study. A RTT was defined as the time from imaging at the modality to the time when the report was available for the clinician. SR cut down RTTs by 81% and the standard deviation by 83%. The proportion of reports available within 1 h escalated from 26% to 58%. The proportion of reports created by SR increased during a follow-up time of this study from 0% up to 88%. SR decreases turnaround times and may thus speed up the whole patient care process by facilitating online reporting. SR was easily adopted and well accepted by radiologists. Our findings encourage the utilization of SR, which improves the productivity and accelerates the workflow with excellent end-user satisfaction.

Entities:  

Mesh:

Year:  2008        PMID: 18437491      PMCID: PMC3043847          DOI: 10.1007/s10278-008-9121-4

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


  14 in total

1.  Report generation using digital speech recognition in radiology.

Authors:  F Vorbeck; A Ba-Ssalamah; J Kettenbach; P Huebsch
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

2.  Impact of speech recognition on radiologist productivity.

Authors:  Steve G Langer
Journal:  J Digit Imaging       Date:  2002-11-06       Impact factor: 4.056

3.  Voice recognition.

Authors:  Amit Mehta; Theresa C McLoud
Journal:  J Thorac Imaging       Date:  2003-07       Impact factor: 3.000

4.  Impact of tightly coupled PACS/speech recognition on report turnaround time in the radiology department.

Authors:  Steve G Langer
Journal:  J Digit Imaging       Date:  2002-03-21       Impact factor: 4.056

5.  Informatics in Radiology (infoRAD): radiology report entry with automatic phrase completion driven by language modeling.

Authors:  John Eng; Jason M Eisner
Journal:  Radiographics       Date:  2004 Sep-Oct       Impact factor: 5.333

6.  Structural design of hidden Markov model speech recognizer using multivalued phonetic features: comparison with segmental speech units.

Authors:  L Deng; K Erler
Journal:  J Acoust Soc Am       Date:  1992-12       Impact factor: 1.840

Review 7.  Speech recognition implementation in radiology.

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

8.  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

9.  Perspectives on speech recognition technology.

Authors:  David Talton
Journal:  Radiol Manage       Date:  2005 Jan-Feb

10.  Voice recognition dictation: radiologist as transcriptionist.

Authors:  John A Pezzullo; Glenn A Tung; Jeffrey M Rogg; Lawrence M Davis; Jeffrey M Brody; William W Mayo-Smith
Journal:  J Digit Imaging       Date:  2008-12       Impact factor: 4.056

View more
  22 in total

1.  Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.

Authors:  C M Hawkins; S Hall; J Hardin; S Salisbury; A J Towbin
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

2.  Learning curve of speech recognition.

Authors:  Tomi A Kauppinen; Johanna Kaipio; Mika P Koivikko
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

3.  Immediate and sustained benefits of a "total" implementation of speech recognition reporting.

Authors:  J L Hart; A McBride; D Blunt; P Gishen; N Strickland
Journal:  Br J Radiol       Date:  2010-03-11       Impact factor: 3.039

4.  Improving Radiology Report Quality by Rapidly Notifying Radiologist of Report Errors.

Authors:  Matthew J Minn; Arash R Zandieh; Ross W Filice
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

5.  Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review.

Authors:  Natalie Wiebe; Lucia Otero Varela; Daniel J Niven; Paul E Ronksley; Nicolas Iragorri; Hude Quan
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

6.  Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software.

Authors:  R E Motyer; S Liddy; W C Torreggiani; O Buckley
Journal:  Ir J Med Sci       Date:  2016-10-01       Impact factor: 1.568

7.  Language-Based Process Phase Detection in the Trauma Resuscitation.

Authors:  Yue Gu; Xinyu Li; Shuhong Chen; Hunagcan Li; Richard A Farneth; Ivan Marsic; Randall S Burd
Journal:  IEEE Int Conf Healthc Inform       Date:  2017-09-14

Review 8.  Risks and benefits of speech recognition for clinical documentation: a systematic review.

Authors:  Tobias Hodgson; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2015-11-17       Impact factor: 4.497

9.  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

10.  Letter to the editor re: Voice recognition dictation: radiologist as transcriptionist and Improvement of report workflow and productivity using speech recognition--a follow-up study.

Authors:  James Y Chen; Paras Lakhani; Nabile M Safdar; Paul G Nagy
Journal:  J Digit Imaging       Date:  2009-04-22       Impact factor: 4.056

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.