Lessons learned from implementation of voice recognition for documentation in the military electronic health record system
This study evaluated the implementation of voice recognition (VR) for documenting outpatient encounters in the electronic health record (EHR) system at a military hospital and its 12 outlying clinics. Seventy-five clinicians volunteered to use VR, and 64 (85 percent) responded to an online questionn...
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| Veröffentlicht in: | Perspectives in health information management 2010-01, Vol.7 (Winter), p.1e-1e |
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| creator | Hoyt, Robert Yoshihashi, Ann |
| description | This study evaluated the implementation of voice recognition (VR) for documenting outpatient encounters in the electronic health record (EHR) system at a military hospital and its 12 outlying clinics. Seventy-five clinicians volunteered to use VR, and 64 (85 percent) responded to an online questionnaire post implementation to identify variables related to VR continuance or discontinuance. The variables investigated were user characteristics, training experience, logistics, and VR utility. Forty-four respondents (69 percent) continued to use VR and overall felt that the software was accurate, was faster than typing, improved note quality, and permitted closing a patient encounter the same day. The discontinuation rate of 31 percent was related to location at an outlying clinic and perceptions of inadequacy of training, decreased productivity due to VR inaccuracies, and no improvement in note quality. Lessons learned can impact future deployment of VR in other military and civilian healthcare facilities. |
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Seventy-five clinicians volunteered to use VR, and 64 (85 percent) responded to an online questionnaire post implementation to identify variables related to VR continuance or discontinuance. The variables investigated were user characteristics, training experience, logistics, and VR utility. Forty-four respondents (69 percent) continued to use VR and overall felt that the software was accurate, was faster than typing, improved note quality, and permitted closing a patient encounter the same day. The discontinuation rate of 31 percent was related to location at an outlying clinic and perceptions of inadequacy of training, decreased productivity due to VR inaccuracies, and no improvement in note quality. 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Seventy-five clinicians volunteered to use VR, and 64 (85 percent) responded to an online questionnaire post implementation to identify variables related to VR continuance or discontinuance. The variables investigated were user characteristics, training experience, logistics, and VR utility. Forty-four respondents (69 percent) continued to use VR and overall felt that the software was accurate, was faster than typing, improved note quality, and permitted closing a patient encounter the same day. The discontinuation rate of 31 percent was related to location at an outlying clinic and perceptions of inadequacy of training, decreased productivity due to VR inaccuracies, and no improvement in note quality. Lessons learned can impact future deployment of VR in other military and civilian healthcare facilities.</abstract><cop>United States</cop><pub>American Health Information Management Association</pub><pmid>20697464</pmid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Accuracy Adult Attitude of Health Personnel Attitude to Computers Computers Costs Data entry Efficiency, Organizational Electronic health records Female Forms and Records Control - organization & administration Forms and Records Control - statistics & numerical data Health facilities Health Plan Implementation Hospitals Hospitals, Military - organization & administration Humans Male Medical Records Systems, Computerized - organization & administration Medical Records Systems, Computerized - statistics & numerical data Middle Aged Military Medicine - organization & administration Military Personnel Organizational Innovation Questionnaires Software Speech Recognition Software - utilization Statistical analysis Training United States Voice Voice recognition |
| title | Lessons learned from implementation of voice recognition for documentation in the military electronic health record system |
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