Literature DB >> 33179026

Feeling and thinking: can theories of human motivation explain how EHR design impacts clinician burnout?

Charlene R Weir1, Peter Taber1, Teresa Taft1, Thomas J Reese1, Barbara Jones2, Guilherme Del Fiol1.   

Abstract

The psychology of motivation can help us understand the impact of electronic health records (EHRs) on clinician burnout both directly and indirectly. Informatics approaches to EHR usability tend to focus on the extrinsic motivation associated with successful completion of clearly defined tasks in clinical workflows. Intrinsic motivation, which includes the need for autonomy, sense-making, creativity, connectedness, and mastery is not well supported by current designs and workflows. This piece examines existing research on the importance of 3 psychological drives in relation to healthcare technology: goal-based decision-making, sense-making, and agency/autonomy. Because these motives are ubiquitous, foundational to human functioning, automatic, and unconscious, they may be overlooked in technological interventions. The results are increased cognitive load, emotional distress, and unfulfilling workplace environments. Ultimately, we hope to stimulate new research on EHR design focused on expanding functionality to support intrinsic motivation, which, in turn, would decrease burnout and improve care.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinician burnout; electronic health records, usability, cognitive load; motivation

Year:  2021        PMID: 33179026     DOI: 10.1093/jamia/ocaa270

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  4 in total

1.  Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Authors:  Alan H Morris; Brian Stagg; Michael Lanspa; James Orme; Terry P Clemmer; Lindell K Weaver; Frank Thomas; Colin K Grissom; Ellie Hirshberg; Thomas D East; Carrie Jane Wallace; Michael P Young; Dean F Sittig; Antonio Pesenti; Michela Bombino; Eduardo Beck; Katherine A Sward; Charlene Weir; Shobha S Phansalkar; Gordon R Bernard; B Taylor Thompson; Roy Brower; Jonathon D Truwit; Jay Steingrub; R Duncan Hite; Douglas F Willson; Jerry J Zimmerman; Vinay M Nadkarni; Adrienne Randolph; Martha A Q Curley; Christopher J L Newth; Jacques Lacroix; Michael S D Agus; Kang H Lee; Bennett P deBoisblanc; R Scott Evans; Dean K Sorenson; Anthony Wong; Michael V Boland; David W Grainger; Willard H Dere; Alan S Crandall; Julio C Facelli; Stanley M Huff; Peter J Haug; Ulrike Pielmeier; Stephen E Rees; Dan S Karbing; Steen Andreassen; Eddy Fan; Roberta M Goldring; Kenneth I Berger; Beno W Oppenheimer; E Wesley Ely; Ognjen Gajic; Brian Pickering; David A Schoenfeld; Irena Tocino; Russell S Gonnering; Peter J Pronovost; Lucy A Savitz; Didier Dreyfuss; Arthur S Slutsky; James D Crapo; Derek Angus; Michael R Pinsky; Brent James; Donald Berwick
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

2.  Health information technology and clinician burnout: Current understanding, emerging solutions, and future directions.

Authors:  Eric G Poon; S Trent Rosenbloom; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

3.  Roadmap to a more useful and usable electronic health record.

Authors:  John R Windle; Thomas A Windle; Ketemwabi Y Shamavu; Quinn M Nelson; Martina A Clarke; Ann L Fruhling; James E Tcheng
Journal:  Cardiovasc Digit Health J       Date:  2021-10-09

4.  Change in nurses' psychosocial characteristics pre- and post-electronic medical record system implementation coinciding with the SARS-CoV-2 pandemic: pre- and post-cross-sectional surveys.

Authors:  Rebecca M Jedwab; Alison M Hutchinson; Elizabeth Manias; Rafael A Calvo; Naomi Dobroff; Bernice Redley
Journal:  Int J Med Inform       Date:  2022-04-29       Impact factor: 4.730

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.