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, 2,042 reports were dictated on 2 computers equipped with the speech recognition program, saving a total of US $3,319 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, 26,600 reports were dictated with average turnaround time improving from 89 hours for transcription to 19 hours for speech recognition saving US $45,500 over the same 6 months. The medical clinic generated 5,109 reports for a cost savings of US $10,650. Total cost to implement this speech recognition was approximately US $3,000 per workstation, mostly for hardware. It is possible to design and implement an affordable speech recognition system without a large-scale expensive commercial solution.
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Mehta A, Dreyer K, Boland G, et al: Do picture archiving and communications systems improve report turnaround times? J Digit Imaging 13:105–107, 2000 (Suppl 1)
Rosenthal D, Chew F, Dupuy D, et al: Computer-based speech recognition replacement for medical transcription. AJR 170:23–25, 1998
Lemmie P, Morin R: The implementation of speech recognition in electronic radiology practice. J Digit Imaging 13:153–154, 2000 (Suppl 1)
Houston J, Rupp F: Experience With implementation of a radiology speech recognition system. J Digit Imaging 13:124–128, 2000
Zafar A, Overhage J, McDonald C: Continuous speech recognition for clinicians. J Am Med Inform Assoc 6:195–204, 1999
Kanal K, et al: Evaluation of the accuracy of a continuous speech recognition software system in radiology. J Digit Imaging 13:211–212, 2000 (Suppl 1)
Ramaswamy M, Chaljub G, Esch O, et al: Continuous speech recognition in MR imaging reporting: Advantages, disadvantages, and impact. AJR 174:617–622, 2000
Pavilicek W, Muhm J, Collins J, et al: Quality-of-service improvements from coupling a digital chest unit with integrated speech recognition, information and picture archiving and communications systems. J Digit Imaging 12:191–197, 1999
Devine E, Gaehde S, Curtis A: Comparative evaluation of three continuous speech recognition software packages in the generation of medical reports. J Am Med Inform Assoc 7:462–468, 2000
Schwarz L, Kijewski P, Hertogen H, et al: Voice recognition in radiology reporting. AJR 169:27–29, 1997
Mehta A, Dreyer K, Schweitzer A, et al: Voice recognition—An emerging necessity within radiology: Experiences of the Massachusetts General Hospital. J Digit Imaging 11:20–23, 1998 (Suppl 2)
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Callaway, E.C., Sweet, C.F., Siegel, E. et al. Speech recognition interface to a hospital information system using a self-designed visual basic program: Initial experience. J Digit Imaging 15, 43–53 (2002). https://doi.org/10.1007/BF03191902
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DOI: https://doi.org/10.1007/BF03191902