Skip to main content
Log in

Improvement of Report Workflow and Productivity Using Speech Recognition—A Follow-up Study

  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig 1.
Fig 2.
Fig 3.
Fig 4.

Similar content being viewed by others

References

  1. White KS: Speech recognition implementation in radiology. Pediatr Radiol 35:841–846, 2005

    Article  PubMed  Google Scholar 

  2. Vorbeck F, Ba-Ssalamah A, Kettenbach J, Huebsch P: Report generation using speech recognition in radiology. Eur Radiol 10:1976–1982, 2000

    Article  PubMed  CAS  Google Scholar 

  3. Trumm C, Francke M, Küttner B, Nissen-Meyer S, Reiser M, Glaser C: Speech recognition: impact on report availability and clinical workflow. Hosp Imaging Radiol Eur 1:14–16, 2006

    Google Scholar 

  4. Voll K, Atkins S, Forster B: Improving the utility of speech recognition through error detection. J Digit Imaging, DOI 10.1007/s10278-007-9034-7, 2008 (in press)

  5. Eng J, Eisner JM: Radiology report entry with automatic phrase completion driven by language modeling. Radiographics 24:1493–1501, 2004

    Article  PubMed  Google Scholar 

  6. Deng L, Erler K: Structural design of hidden Markov model speech recognizer using multivalued phonetic features: comparison with segmental speech units. J Acoust Soc Am 92:3058–3067, 1992

    Article  PubMed  CAS  Google Scholar 

  7. Liu D, Zucherman M, Tulloss WB Jr: Six characteristics of effective structured reporting and the inevitable integration with speech recognition. J Digit Imaging 19:98–104, 2006

    Article  PubMed  Google Scholar 

  8. Reiner B, Siegel E: Radiology reporting: returning to our image-centric roots. Am J Roentgenol 187:1151–1155, 2006

    Article  Google Scholar 

  9. Talton D: Perspectives of speech recognition technology. Radiol Manage 27(38–40):42–43, 2005

    Google Scholar 

  10. Sistrom CL: Conceptual approach for the design of radiology reporting interfaces: the talking template. J Digit Imaging 18:176–187, 2005

    Article  PubMed  Google Scholar 

  11. Pezzullo JA, Tung GA, Rogg JM, Davis LM, Brody JM, Mayo-Smith WW: Voice recognition dictation: radiologist as transcriptionist. J Digit Imaging, DOI 10.1007/s10278-007-9039-2, 2008 (in press)

  12. Langer SG: Impact of speech recognition on radiologist productivity. J Digit Imaging 15:203–209, 2002

    Article  PubMed  Google Scholar 

  13. Langer SG: Impact of tightly coupled PACS/speech recognition on report turnaround time in the radiology department. J Digit Imaging 15:234–236, 2002

    Article  PubMed  Google Scholar 

  14. Rana DS, Hurst G, Shepstone L, Pilling J, Cockburn J, Crawford M: Voice recognition for radiology reporting: is it good enough? Clin Radiol 60:1205–1212, 2005

    Article  PubMed  CAS  Google Scholar 

  15. Mehta A, McLoud TC: Voice recognition. J Thorac Imaging 18:178–182, 2003

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mika P. Koivikko.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Koivikko, M.P., Kauppinen, T. & Ahovuo, J. Improvement of Report Workflow and Productivity Using Speech Recognition—A Follow-up Study. J Digit Imaging 21, 378–382 (2008). https://doi.org/10.1007/s10278-008-9121-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-008-9121-4

Key words

Navigation