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Virtual Sprint Outpatient Electronic Health Record Training and Optimization Effect on Provider Burnout
Objectives This study aimed to develop a virtual electronic health record (EHR) training and optimization program and evaluate the impact of the virtual model on provider and staff burnout and electronic health record (EHR) experience.
Methods UCHealth created and supported a multidisciplinary EHR optimization and training program, known as the Epic Sprint Program. The Sprint Team conducted dozens of onsite Sprint events over the course of several years prior to the pandemic but transitioned to a fully virtual program and successfully “sprinted” 21 outpatient clinics from May to December 2020. Core program components of group and 1:1 training, workflow analysis, and new or adjusted EHR build were unchanged from the onsite model. Pre- and post-Sprint surveys provided detailed, objective data about EHR usability, EHR proficiency, job satisfaction, and burnout.
Results The EHR Net Promoter Score (NPS), a likelihood to recommend metric, increased by 39 points (−3 pre and 36 post; p < 0.001) for providers and 29 points (8 pre and 37 post; p = 0.001) for staff post-Sprint. Positive provider (NPS = +53) and staff (NPS = +47) NPS scores indicated a high likelihood to recommend the Sprint Program. Post-Sprint surveys also reflect an increase in providers (10%; p = 0.04) and staff (9%; 0.13) who indicated “no burnout” or “did not feel burned out.”
Discussion The UCHealth Sprint Team transitioned this comprehensive, enterprise level initiative from an onsite model to a fully virtual EHR training and optimization program during the first few months of the novel coronavirus disease (COVID-19) pandemic. Despite this change in program delivery, survey data clearly demonstrated improved EHR satisfaction, a high likelihood to recommend a sprint to a friend or colleague, and a trend toward burnout reduction in providers and staff.
Conclusion Changing an existing on-site EHR optimization program to a purely virtual format can be successful, and this study showed improved provider and staff EHR satisfaction with reduced burnout.
Keywordsoptimization - virtual EHR training - sprint - virtual training - virtual optimization - strategies for health IT training - clinical informatics - professional training - education - distance - process improvement - system improvement - efficiency improvement - performance improvement
Protection of Human and Animal Subjects
There were no human subjects involved in the project.
Received: 09 September 2021
Accepted: 04 November 2021
05 January 2022 (online)
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- 1 Shanafelt TD, Boone S, Tan L. et al. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med 2012; 172 (18) 1377-1385
- 2 Baumgart DC. Digital advantage in the COVID-19 response: perspective from Canada's largest integrated digitalized healthcare system. NPJ Digit Med 2020; 3: 114
- 3 Lin CT, Bookman K, Sieja A. et al. Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado. J Am Med Inform Assoc 2020; 27 (12) 1955-1963
- 4 Dastagir MT, Chin HL, McNamara M, Poteraj K, Battaglini S, Alstot L. Advanced proficiency EHR training: effect on physicians' EHR efficiency, EHR satisfaction and job satisfaction. AMIA Annu Symp Proc 2012; 2012: 136-143
- 5 Robinson KE, Kersey JA. Novel electronic health record (EHR) education intervention in large healthcare organization improves quality, efficiency, time, and impact on burnout. Medicine (Baltimore) 2018; 97 (38) e12319
- 6 Longhurst CA, Davis T, Maneker A. et al; Arch Collaborative. Local investment in training drives electronic health record user satisfaction. Appl Clin Inform 2019; 10 (02) 331-335
- 7 Lourie EM, Utidjian LH, Ricci MF, Webster L, Young C, Grenfell SM. Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program. J Am Med Inform Assoc 2021; 28 (05) 931-937
- 8 Sieja A, Markley K, Pell J. et al. Optimization sprints: improving clinician satisfaction and teamwork by rapidly reducing electronic health record burden. Mayo Clin Proc 2019; 94 (05) 793-802
- 9 Shanafelt TD, Noseworthy JH. Executive leadership and physician well-being: nine organizational strategies to promote engagement and reduce burnout. Mayo Clin Proc 2017; 92 (01) 129-146
- 10 West CP, Dyrbye LN, Rabatin JT. et al. Intervention to promote physician well-being, job satisfaction, and professionalism: a randomized clinical trial. JAMA Intern Med 2014; 174 (04) 527-533
- 11 Yan Q, Jiang Z, Harbin Z, Tolbert PH, Davies MG. Exploring the relationship between electronic health records and provider burnout: a systematic review. J Am Med Inform Assoc 2021; 28 (05) 1009-1021
- 12 Sieja A, Kim E, Holmstrom H. et al. Multidisciplinary sprint program achieved specialty-specific EHR optimization in 20 clinics. Appl Clin Inform 2021; 12 (02) 329-339
- 13 Rohland BM, Kruse GR, Rohrer JE. Validation of a single-item measure of burnout against the Maslach Burnout Inventory among physicians. Stress Health 2004; 20 (02) 75-79
- 14 Reichheld FF. The one number you need to grow. Harv Bus Rev 2003; 81 (12) 46-54 , 124
- 15 Deeds SA, Hagan SL, Geyer JR. et al. Leveraging an electronic health record note template to standardize screening and testing for COVID-19. Healthc (Amst) 2020; 8 (03) 100454
- 16 Sitammagari K, Murphy S, Kowalkowski M. et al. Insights from rapid deployment of a “virtual hospital” as standard care during the COVID-19 pandemic. Ann Intern Med 2021; 174 (02) 192-199
- 17 DiAngi YT, Stevens LA, Halpern-Felsher B, Pageler NM, Lee TC. Electronic health record (EHR) training program identifies a new tool to quantify the EHR time burden and improves providers' perceived control over their workload in the EHR. JAMIA Open 2019; 2 (02) 222-230
- 18 Olson K, Sinsky C, Rinne ST. et al. Cross-sectional survey of workplace stressors associated with physician burnout measured by the Mini-Z and the Maslach Burnout Inventory. Stress Health 2019; 35 (02) 157-175
- 19 Sieja A, Whittington MD, Patterson VP. et al. The influence of a sprint optimization and training intervention on time spent in the electronic health record (EHR). JAMIA Open 2021; 4 (03) b073
- 20 Dinibutun SR. Factors associated with burnout among physicians: an evaluation during a period of COVID-19 pandemic. J Healthc Leadersh 2020; 12: 85-94