Experience with implementation of a radiology speech recognition system

Houston, Jeffrey D.; Rupp, Frederick W.

doi:10.1007/bf03168385

Cited by 22 publications

(11 citation statements)

References 4 publications

(1 reference statement)

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“…2 ,3 Significant problems can arise in facilities that attempt to integrate a speech recognition system into the HIS. 4 This can be difficult particularly in the setting of a training program with rotating residents, …”

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confidence: 99%

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

et al. 2002

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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.KEY WORDS: computer, speech recognition, picture archiving and communication systems, interface, composite health-care system THE EFFORT to improve patient care by .1 collapsing the diagnostic and therapeutic timeline has driven computer applications development in a variety of areas. Tremendous improvements in hardware and software over Journal of Digital Imaging, Vol 15, No 1 (March}, 2002: pp 43-53 the last decade have stimulated this progress. With picture archiving and communication system (PACS) technology, images are available immediately throughout the health care system, but there continues to be a lag in the transmission of the corresponding completed radiology reports. 1,2 The purpose of this report is to relate our experience with the development and integration of an off-the-shelf speech/voice recognition application into a hospital information system (HIS) using a graphical interface program developed by one of the authors.Speech recognition in the radiology department setting decreases overhead expenses by reducing or eliminating transcription services or as a means to improve patient care by reducing report turnaround times. 2 ,3 Significant problems can arise in facilities that attempt to integrate a speech recognition system into the HIS. 4 This can be difficult particularly in the setting of a training program...

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confidence: 99%

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

et al. 2002

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“…According to the results of [16], 5% improvement in accuracy among users with different levels of training indicates this fact that the training of users leads to enhanced system accuracy. About 3% of the error is related to the non-coverage of the vocabulary of the database which can be added to the system easily.…”

Section: Discussionmentioning

confidence: 98%

“…Given the use of professional headset microphone, the environmental noise is due to the lack of a separate room for the dictating the system. According to [16][17][18], data collection in a separate environment or independent room for dictation can eliminate this problem and enhance the accuracy of the system up to 95%.…”

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confidence: 99%

The Design of a Reconstructive Hand Surgery Text Database based on a Speech Recognition System in Iran

Ghazisaeedi¹

2014

IJBSE

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Speech recognition system (SR) is a tool to create comprehensive, accurate and legible information in the patient's medical records. The present study is a part of a project to create a specialty text database for SR software in the field of reconstructive hand surgery. This project is considered a fundamental work for practical application of the system to enter the healthcare field in Iran. An interventional, quasi-experimental study and fundamental work to create surgical text database in the existing Persian software of "Nevisa". 1863 reconstructive hand surgical descriptions during a 3-month period (March 20, 2012 through June 20, 2012 in 15-Khordad Subspecialty Hospital were used to create database. The statistical population of the study consisted of all patients admitted with hand disorders within this time interval. About 108 dictated voices of physicians were collected after surgery. After the type and required analysis, the reconstructive hand surgery text database was created and tested in a real operating room. In this paper, a reconstructive hand surgery text database was created for Persian SR software. The database contains capital vocabulary and more than1200 words for use in the hand surgical unit in specialty hospitals and clinics. The record of findings and results of surgery in the patients' medical records is very important. The lack of computerized data recording is one of the reasons for failure and illegibility of medical records in health centers. To solve these problems, software was used for data entry in the medical records and creating comprehensive electronic records. The designed software was tested in the operating room. The obtained accuracy demonstrated the potential for practical applicability of the developed software in Iran.

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“…Much like military telemedicine studies, the civilian literature assesses local implementations or specialty applications of telemedicine (Brecht, Gray, Peterson, &, Youngblood 1996;Mekhjian, Warisse, Gailium, & McCain 1996;Lambrecht 1997;McCue et al 1997;Houston and Rupp 2000;Zaylor, Whitten and Kingsley 2000). However, an important recurring theme in civilian telemedicine literature is the call for the development of specific categories for evaluating telemedicine as a comprehensive information system.…”

Section: Applicability Of Civilian Studiesmentioning

confidence: 99%