Literature DB >> 30040113

Electronic Health Record Interactions through Voice: A Review.

Yaa A Kumah-Crystal1, Claude J Pirtle1, Harrison M Whyte2, Edward S Goode2, Shilo H Anders1,3, Christoph U Lehmann1.   

Abstract

BACKGROUND: Usability problems in the electronic health record (EHR) lead to workflow inefficiencies when navigating charts and entering or retrieving data using standard keyboard and mouse interfaces. Voice input technology has been used to overcome some of the challenges associated with conventional interfaces and continues to evolve as a promising way to interact with the EHR.
OBJECTIVE: This article reviews the literature and evidence on voice input technology used to facilitate work in the EHR. It also reviews the benefits and challenges of implementation and use of voice technologies, and discusses emerging opportunities with voice assistant technology.
METHODS: We performed a systematic review of the literature to identify articles that discuss the use of voice technology to facilitate health care work. We searched MEDLINE and the Google search engine to identify relevant articles. We evaluated articles that discussed the strengths and limitations of voice technology to facilitate health care work. Consumer articles from leading technology publications addressing emerging use of voice assistants were reviewed to ascertain functionalities in existing consumer applications.
RESULTS: Using a MEDLINE search, we identified 683 articles that were reviewed for inclusion eligibility. The references of included articles were also reviewed. Sixty-one papers that discussed the use of voice tools in health care were included, of which 32 detailed the use of voice technologies in production environments. Articles were organized into three domains: Voice for (1) documentation, (2) commands, and (3) interactive response and navigation for patients. Of 31 articles that discussed usability attributes of consumer voice assistant technology, 12 were included in the review.
CONCLUSION: We highlight the successes and challenges of voice input technologies in health care and discuss opportunities to incorporate emerging voice assistant technologies used in the consumer domain. Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2018        PMID: 30040113      PMCID: PMC6051768          DOI: 10.1055/s-0038-1666844

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  81 in total

Review 1.  Radiology speech recognition: workflow, integration, and productivity issues.

Authors:  Steve Langer
Journal:  Curr Probl Diagn Radiol       Date:  2002 May-Jun

2.  A regional poison information center IVR medication identification system: does it accomplish its goal?

Authors:  Edward P Krenzelok; Rita Mrvos
Journal:  Clin Toxicol (Phila)       Date:  2011-11       Impact factor: 4.467

3.  Evaluation of a voice recognition system for generation of therapeutic ERCP reports.

Authors:  B T Massey; J E Geenen; W J Hogan
Journal:  Gastrointest Endosc       Date:  1991 Nov-Dec       Impact factor: 9.427

4.  Improvement of report workflow and productivity using speech recognition--a follow-up study.

Authors:  Tomi Kauppinen; Mika P Koivikko; Juhani Ahovuo
Journal:  J Digit Imaging       Date:  2008-04-24       Impact factor: 4.056

5.  Experience with voice recognition in surgical pathology at a large academic multi-institutional center.

Authors:  Hyunseok Peter Kang; S Joseph Sirintrapun; Rick J Nestler; Anil V Parwani
Journal:  Am J Clin Pathol       Date:  2010-01       Impact factor: 2.493

6.  Participation in an ambulatory e-pharmacovigilance system.

Authors:  Jennifer S Haas; Aarthi Iyer; E John Orav; Gordon D Schiff; David W Bates
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-09       Impact factor: 2.890

7.  Tablet computers in support of rural and frontier clinical practice.

Authors:  Chad Anderson; Terry Henner; Jake Burkey
Journal:  Int J Med Inform       Date:  2013-08-19       Impact factor: 4.046

8.  An analysis of clinical queries in an electronic health record search utility.

Authors:  Karthik Natarajan; Daniel Stein; Samat Jain; Noémie Elhadad
Journal:  Int J Med Inform       Date:  2010-04-24       Impact factor: 4.046

9.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

Authors:  Blackford Middleton; Meryl Bloomrosen; Mark A Dente; Bill Hashmat; Ross Koppel; J Marc Overhage; Thomas H Payne; S Trent Rosenbloom; Charlotte Weaver; Jiajie Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

10.  Investigating the need for clinicians to use tablet computers with a newly envisioned electronic health record.

Authors:  Jason J Saleem; April Savoy; Gale Etherton; Jennifer Herout
Journal:  Int J Med Inform       Date:  2017-11-23       Impact factor: 4.046

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  20 in total

1.  Pediatrician Attitudes toward Digital Voice Assistant Technology Use in Clinical Practice.

Authors:  Jayme L Wilder; Devin Nadar; Nitin Gujral; Benjamin Ortiz; Robert Stevens; Faye Holder-Niles; John Lee; Jonathan M Gaffin
Journal:  Appl Clin Inform       Date:  2019-05-01       Impact factor: 2.342

Review 2.  Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice.

Authors:  Guy Fagherazzi; Aurélie Fischer; Muhannad Ismael; Vladimir Despotovic
Journal:  Digit Biomark       Date:  2021-04-16

3.  Asynchronous Speech Recognition Affects Physician Editing of Notes.

Authors:  Kevin J Lybarger; Mari Ostendorf; Eve Riskin; Thomas H Payne; Andrew A White; Meliha Yetisgen
Journal:  Appl Clin Inform       Date:  2018-10-17       Impact factor: 2.342

Review 4.  Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.

Authors:  Guergana K Savova; Ioana Danciu; Folami Alamudun; Timothy Miller; Chen Lin; Danielle S Bitterman; Georgia Tourassi; Jeremy L Warner
Journal:  Cancer Res       Date:  2019-08-08       Impact factor: 12.701

5.  Application of the i-PARIHS framework in the implementation of speech recognition technology as a way of addressing documentation burden within a mental health context.

Authors:  Brian Lo; Khaled Almilaji; Damian Jankowicz; Lydia Sequeira; Gillian Strudwick; Tania Tajirian
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

6.  Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks.

Authors:  Karen Bonilla; Brian Gaitan; Jamie Sanders; Noami Khenglawt; Aqueasha Martin-Hammond
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

7.  Nephrology Fellows' and Program Directors' Perceptions of Hospital Rounds in the United States.

Authors:  Suzanne M Boyle; Keshab Subedi; Kurtis A Pivert; Meera Nair Harhay; Jaime Baynes-Fields; Jesse Goldman; Karen M Warburton
Journal:  Clin J Am Soc Nephrol       Date:  2020-03-17       Impact factor: 8.237

8.  Toward e-Scales: Digital Administration of the International Parkinson and Movement Disorder Society Rating Scales.

Authors:  Mariana H G Monje; Rebecca L M Fuller; Esther Cubo; Tiago A Mestre; Ai Huey Tan; Julie C Stout; Shazia Ali; Lana Chahine; Kathy Dujardin; Cheryl J Fitzer-Attas; Jinyoung Youn; Bastiaan R Bloem; Fay B Horak; Aristide Merola; Ralf Reilmann; Serene S Paul; Earl Ray Dorsey; Walter Maetzler; Alberto J Espay; Pablo Martinez-Martin; Glenn T Stebbins; Álvaro Sánchez-Ferro
Journal:  Mov Disord Clin Pract       Date:  2020-12-28

9.  HITECH to 21st century cures: clinician burden and evolving health IT policy.

Authors:  Andrew Gettinger; Teresa Zayas-Cabán
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

Review 10.  Technological progress in electronic health record system optimization: Systematic review of systematic literature reviews.

Authors:  Elsa Negro-Calduch; Natasha Azzopardi-Muscat; Ramesh S Krishnamurthy; David Novillo-Ortiz
Journal:  Int J Med Inform       Date:  2021-05-21       Impact factor: 4.046

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