Literature DB >> 20697464

Lessons learned from implementation of voice recognition for documentation in the military electronic health record system.

Robert Hoyt1, Ann Yoshihashi.   

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.

Entities:  

Keywords:  AHLTA; EHR; electronic health records; electronic medical records; speech recognition; voice recognition

Mesh:

Year:  2010        PMID: 20697464      PMCID: PMC2805557     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  13 in total

1.  Continuous speech recognition in MR imaging reporting: advantages, disadvantages, and impact.

Authors:  M R Ramaswamy; G Chaljub; O Esch; D D Fanning; E vanSonnenberg
Journal:  AJR Am J Roentgenol       Date:  2000-03       Impact factor: 3.959

2.  Managing predefined templates and macros for a departmental speech recognition system using common software.

Authors:  C L Sistrom; J C Honeyman; A Mancuso; R G Quisling
Journal:  J Digit Imaging       Date:  2001-09       Impact factor: 4.056

3.  Voice recognition software versus a traditional transcription service for physician charting in the ED.

Authors:  R G Zick; J Olsen
Journal:  Am J Emerg Med       Date:  2001-07       Impact factor: 2.469

4.  The utility and cost effectiveness of voice recognition technology in surgical pathology.

Authors:  Walter H Henricks; Kavous Roumina; Bradley E Skilton; Debra J Ozan; Gwendolyn R Goss
Journal:  Mod Pathol       Date:  2002-05       Impact factor: 7.842

5.  Continuous speech recognition for clinicians.

Authors:  A Zafar; J M Overhage; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

Review 6.  The clinician's perspective on electronic health records and how they can affect patient care.

Authors:  Stephen H Walsh
Journal:  BMJ       Date:  2004-05-15

7.  Adding user-friendliness and ease of implementation to continuous speech recognition technology with speech macros: case studies.

Authors:  Harrison D Green
Journal:  J Healthc Inf Manag       Date:  2004

8.  Integrating voice recognition and EMR cuts transcription time, costs.

Authors: 
Journal:  Perform Improv Advis       Date:  2005-11

9.  The cost of medical dictation transcription at an academic family practice center.

Authors:  F H Lawler; D C Scheid; N J Viviani
Journal:  Arch Fam Med       Date:  1998 May-Jun

10.  Use of voice recognition software in an outpatient pediatric specialty practice.

Authors:  Robert M Issenman; Iqbal H Jaffer
Journal:  Pediatrics       Date:  2004-09       Impact factor: 7.124

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  10 in total

1.  Health information technology: integration of clinical workflow into meaningful use of electronic health records.

Authors:  Felicia M Bowens; Patricia A Frye; Warren A Jones
Journal:  Perspect Health Inf Manag       Date:  2010-10-01

2.  The EHR's roles in collaboration between providers: A qualitative study.

Authors:  Dian A Chase; Joan S Ash; Deborah J Cohen; Jennifer Hall; Gary M Olson; David A Dorr
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

Review 3.  Electronic Health Record Interactions through Voice: A Review.

Authors:  Yaa A Kumah-Crystal; Claude J Pirtle; Harrison M Whyte; Edward S Goode; Shilo H Anders; Christoph U Lehmann
Journal:  Appl Clin Inform       Date:  2018-07-18       Impact factor: 2.342

4.  Digital dictation and voice transcription software enhances outpatient clinic letter production: a crossover study.

Authors:  Kinesh Patel; Marcus Harbord
Journal:  Frontline Gastroenterol       Date:  2012-04-24

5.  Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study.

Authors:  Jayant V Rajan; Juliana Moura; Gato Gourley; Karina Kiso; Alexandre Sizilio; Ana Maria Cortez; Lee W Riley; Maria Amelia Veras; Urmimala Sarkar
Journal:  BMC Med Inform Decis Mak       Date:  2016-11-17       Impact factor: 2.796

6.  Use of dictation as a tool to decrease documentation errors in electronic health records.

Authors:  Samer Al Hadidi; Sunil Upadhaya; Rupal Shastri; Zain Alamarat
Journal:  J Community Hosp Intern Med Perspect       Date:  2017-10-18

7.  The value of necropsy reports for animal health surveillance.

Authors:  Susanne Küker; Celine Faverjon; Lenz Furrer; John Berezowski; Horst Posthaus; Fabio Rinaldi; Flavie Vial
Journal:  BMC Vet Res       Date:  2018-06-18       Impact factor: 2.741

8.  Broadening horizons: the case for capturing function and the role of health informatics in its use.

Authors:  Denis Newman-Griffis; Julia Porcino; Ayah Zirikly; Thanh Thieu; Jonathan Camacho Maldonado; Pei-Shu Ho; Min Ding; Leighton Chan; Elizabeth Rasch
Journal:  BMC Public Health       Date:  2019-10-15       Impact factor: 3.295

9.  How do people think about the implementation of speech and video recognition technology in emergency medical practice?

Authors:  Ki Hong Kim; Ki Jeong Hong; Sang Do Shin; Young Sun Ro; Kyoung Jun Song; Tae Han Kim; Jeong Ho Park; Joo Jeong
Journal:  PLoS One       Date:  2022-09-23       Impact factor: 3.752

10.  Computerized provider documentation: findings and implications of a multisite study of clinicians and administrators.

Authors:  Peter J Embi; Charlene Weir; Efthimis N Efthimiadis; Stephen M Thielke; Ashley N Hedeen; Kenric W Hammond
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

  10 in total

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