Literature DB >> 31042806

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

Jayme L Wilder1,2, Devin Nadar3, Nitin Gujral3, Benjamin Ortiz4, Robert Stevens4, Faye Holder-Niles1,2, John Lee2,5, Jonathan M Gaffin2,6.   

Abstract

OBJECTIVE: Digital voice assistant technology provides unique opportunities to enhance clinical practice. We aimed to understand factors influencing pediatric providers' current and potential use of this technology in clinical practice.
METHODS: We surveyed pediatric providers regarding current use and interest in voice technology in the workplace. Regression analyses evaluated provider characteristics associated with voice technology use. Among respondents not interested in voice technology, we elicited individual concerns.
RESULTS: Among 114 respondents, 19 (16.7%) indicated current use of voice technology in clinical practice, and 51 (44.7%) indicated use of voice technology for nonclinical purposes. Fifty-four (47.4%) reported willingness to try digital voice assistant technology in the clinical setting. Providers who had longer clinic visits (odds ratio [OR], 3.11, 95% confidence interval [CI], 1.04, 9.33, p = 0.04), fewer patient encounters per day (p = 0.02), and worked in hospital-based practices (OR, 2.95, 95% CI, 1.08, 8.07, p = 0.03) were more likely to currently use voice technology in the office. Younger providers (p = 0.02) and those confident in the accuracy of voice technology (OR, 3.05, 95% CI, 1.38, 6.74, p = 0.005) were more willing to trial digital voice assistants in the clinical setting. Among respondents unwilling or unsure about trying voice assistant technology, the most common reasons elicited were concerns related to its accuracy (35%), efficiency (33%), and privacy (28%).
CONCLUSION: This national survey evaluating use and attitudes toward digital voice assistant technology by pediatric providers found that while only one-eighth of pediatric providers currently use digital voice assistant technology in the clinical setting, almost half are interested in trying it in the future. Younger provider age and confidence in the accuracy of voice technology are associated with provider interest in using voice technology in the clinical setting. Future development of voice technology for clinical use will need to consider accuracy of information, efficiency of use, and patient privacy for successful integration into the workplace. Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Year:  2019        PMID: 31042806      PMCID: PMC6494608          DOI: 10.1055/s-0039-1687863

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


  15 in total

Review 1.  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

2.  Rethinking EHR interfaces to reduce click fatigue and physician burnout.

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Journal:  CMAJ       Date:  2018-08-20       Impact factor: 8.262

3.  Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health.

Authors:  Adam S Miner; Arnold Milstein; Stephen Schueller; Roshini Hegde; Christina Mangurian; Eleni Linos
Journal:  JAMA Intern Med       Date:  2016-05-01       Impact factor: 21.873

4.  Interactive Voice Response-Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial.

Authors:  Alicia A Heapy; Diana M Higgins; Joseph L Goulet; Kathryn M LaChappelle; Mary A Driscoll; Rebecca A Czlapinski; Eugenia Buta; John D Piette; Sarah L Krein; Robert D Kerns
Journal:  JAMA Intern Med       Date:  2017-06-01       Impact factor: 21.873

5.  Automated conversation system before pediatric primary care visits: a randomized trial.

Authors:  William G Adams; Barrett D Phillips; Janine D Bacic; Kathleen E Walsh; Christopher W Shanahan; Michael K Paasche-Orlow
Journal:  Pediatrics       Date:  2014-08-04       Impact factor: 7.124

6.  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

7.  4000 clicks: a productivity analysis of electronic medical records in a community hospital ED.

Authors:  Robert G Hill; Lynn Marie Sears; Scott W Melanson
Journal:  Am J Emerg Med       Date:  2013-09-21       Impact factor: 2.469

8.  Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction.

Authors:  Tait D Shanafelt; Lotte N Dyrbye; Christine Sinsky; Omar Hasan; Daniel Satele; Jeff Sloan; Colin P West
Journal:  Mayo Clin Proc       Date:  2016-06-27       Impact factor: 7.616

9.  Physician Opinions about EHR Use by EHR Experience and by Whether the Practice had optimized its EHR Use.

Authors:  E W Jamoom; D Heisey-Grove; N Yang; P Scanlon
Journal:  J Health Med Inform       Date:  2016-07-30

10.  Just ask Siri? A pilot study comparing smartphone digital assistants and laptop Google searches for smoking cessation advice.

Authors:  Matt Boyd; Nick Wilson
Journal:  PLoS One       Date:  2018-03-28       Impact factor: 3.240

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Journal:  Sensors (Basel)       Date:  2021-01-22       Impact factor: 3.576

2.  The Children's Hospital of the Future: A Vision That Meets All Needs.

Authors:  Barbara Więckowska; Katarzyna Byszek; Maciej Malenda
Journal:  HERD       Date:  2021-11-18

Review 3.  AI-based language models powering drug discovery and development.

Authors:  Zhichao Liu; Ruth A Roberts; Madhu Lal-Nag; Xi Chen; Ruili Huang; Weida Tong
Journal:  Drug Discov Today       Date:  2021-06-30       Impact factor: 7.851

  3 in total

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