title: Lessons learned from implementation of voice recognition for documentation in the military electronic health record system.
abstract: 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.
authors.affiliation: School of Allied Health and Life Sciences at the University of West Florida in Pensacola, FL, USA.
authors.forename: Robert
authors.initials: R
authors.lastname: Hoyt
authors.forename: Ann
authors.initials: A
authors.lastname: Yoshihashi
mesh_terms: D000328:Adult; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D017598:Efficiency, Organizational; D005260:Female; D005568:Forms and Records Control / Q000458:organization & administration* / Q000706:statistics & numerical data; D006284:Health Plan Implementation; D006772:Hospitals, Military / Q000458:organization & administration*; D006801:Humans; D008297:Male; D016347:Medical Records Systems, Computerized / Q000458:organization & administration* / Q000706:statistics & numerical data; D008875:Middle Aged; D008887:Military Medicine / Q000458:organization & administration; D008889:Military Personnel; D009936:Organizational Innovation; D049250:Speech Recognition Software / Q000706:statistics & numerical data*; D014481:United States; D014831:Voice