Appl Clin Inform 2020; 11(02): 336-341
DOI: 10.1055/s-0040-1709509
State of the Art/Best Practice Paper
Georg Thieme Verlag KG Stuttgart · New York

The Development and Evaluation of an Electronic Health Record Efficiency Workshop for Providers

Kara Scott
1   Department of Information Technology, The Ohio State University Wexner Medical Center, Health System Informatics, Training and Optimization, Columbus, Ohio, United States
,
Elizabeth Hathaway
1   Department of Information Technology, The Ohio State University Wexner Medical Center, Health System Informatics, Training and Optimization, Columbus, Ohio, United States
,
Karen Sharp
1   Department of Information Technology, The Ohio State University Wexner Medical Center, Health System Informatics, Training and Optimization, Columbus, Ohio, United States
,
Paula Smailes
1   Department of Information Technology, The Ohio State University Wexner Medical Center, Health System Informatics, Training and Optimization, Columbus, Ohio, United States
› Author Affiliations
Funding None.
Further Information

Publication History

09 January 2020

08 March 2020

Publication Date:
06 May 2020 (online)

Abstract

Background The electronic health record (EHR) has historically been known to be a source of stress and dissatisfaction, leading to reduced efficiency and productivity for providers. This issue is complicated by constant changes in EHRs that are necessary to keep systems current with evolving functionality. Knowing the existence of this problem, an evidenced-based solution, known as an efficiency workshop, was developed by our information technology training and optimization team for providers as a means of ongoing professional development.

Objectives The objectives of this project were to identify EHR optimization needs for providers in various clinical departments and improve their EHR satisfaction. The development of a program focused on provider efficiency tools and personalization was key and, once piloted, how to measure program success.

Methods Efficiency workshops comprised members of the IT training team who set up on site training sessions during reserved time with providers during departmental meetings. Sessions focused on reviewing EHR efficiency tools using demonstration of existing system functionality. Participating providers were given continuing medical education (CME) credits upon completion of evaluations used as a quality improvement tool for the program.

Results Descriptive results showed that providers were satisfied with this method of EHR instruction. Subjective feedback yielded positive themes such as informative, well done, organized, and helpful.

Conclusion This initiative began as a pilot program and successfully expanded across clinical departments at our academic medical center. Future plans are to sustain and further invest in this program by using EHR reporting features to further customize these sessions and evaluate impact on system use.

Protection of Animal and Human Subjects

This manuscript discusses the development of efficiency workshops and quality improvement measures used to shape the program, thus not constituting human subjects research.


 
  • References

  • 1 Butcher L. A UC Davis program focuses on training to increase efficiency, ease stress associated with EHR compliance. Neurol Today 2019; 19 (03) 41-44
  • 2 Patt D, Stella P, Bosserman L. Clinical challenges and opportunities with current electronic health records: practicing oncologies perspectives. J Oncol Pract 2018; 14 (10) 577-579
  • 3 Guo U, Chen L, Mehta PH. Electronic health record innovations: Helping physicians - one less click at a time. Health Inf Manag 2017; 46 (03) 140-144
  • 4 Robertson SL, Robinson MD, Reid A. Electronic health record effects on work-life balance and burnout within the i3 population collaborative. J Grad Med Educ 2017; 9 (04) 479-484
  • 5 Harris DA, Haskell J, Cooper E, Crouse N, Gardner R. Estimating the association between burnout and electronic health record-related stress among advanced practice registered nurses. Appl Nurs Res 2018; 43: 36-41
  • 6 Kroth PJ, Morioka-Douglas N, Veres S. , et al. Association of electronic health record design and use factors with clinician stress and burnout. JAMA Netw Open 2019; 2 (08) e199609
  • 7 Shanafelt TD, Dyrbye LN, Sinsky C. , et al. Relationship between clerical burden and characteristics of the electronic environment with physician burnout and professional satisfaction. Mayo Clin Proc 2016; 91 (07) 836-848
  • 8 Arndt BG, Beasley JW, Watkinson MD. , et al. Tethered to the EHR: Primary care physicians workload assessment using EHR event log data and time motion observation. Ann Fam Med 2017; 15 (05) 419-426
  • 9 Gardner RL, Cooper E, Haskell J. , et al. Physician stress and burnout: the impact of health information technology. J Am Med Inform Assoc 2019; 26 (02) 106-114
  • 10 Joszt L. EHR Implementation Reduces Practice Productivity, Increases Reimbursement. Available at: https://www.ajmc.com/newsroom/ehr-implementation-reduces-practice-productivity-increases-reimbursement . Accessed March 23, 2020
  • 11 Murphy DR, Reis B, Sittig DF, Singh H. Notifications received by primary care practitioners in electronic health records: a taxonomy and time analysis. Am J Med 2012; 125 (02) 209.e1-209.e7
  • 12 Murphy DR, Meyer AN, Russo E, Sittig DF, Wei L, Singh H. The burden of inbox notifications in commercial electronic health records. JAMA Intern Med 2016; 176 (04) 559-560
  • 13 Haidar YM, Moshtaghi O, Mahboubi H. , et al. Association between electronic medical record implementation and otolaryngology productivity in the ambulatory setting. JAMA Otolaryngol Head Neck Surg 2017; 143 (01) 20-24
  • 14 Scott DJ, Labro E, Penrose CT, Bolognesi MP, Wellman SS, Mather III RC. The impact of electronic medical record implementation on labor cost and productivity at an outpatient orthopaedic clinic. J Bone Joint Surg Am 2018; 100 (18) 1549-1556
  • 15 Frogner BK, Wu X, Ku L, Pittman P, Masselink LE. Do years of experience with electronic health records matter for productivity in community health centers?. J Ambul Care Manage 2017; 40 (01) 36-47
  • 16 Kadish SS, Mayer EL, Jackman DM. , et al. Implementation to optimization: a tailored, data-driven approach to Improve provider efficiency and confidence in use of the electronic medical record. J Oncol Pract 2018; 14 (07) e421-e428
  • 17 O'Donnell A, Kaner E, Shaw C, Haighton C. Primary care physicians' attitudes to the adoption of electronic medical records: a systematic review and evidence synthesis using the clinical adoption framework. BMC Med Inform Decis Mak 2018; 18 (01) 101
  • 18 Rathert C, Porter TH, Mittler JN, Fleig-Palmer M. Seven years after Meaningful Use: Physicians' and nurses' experiences with electronic health records. Health Care Manage Rev 2019; 44 (01) 30-40
  • 19 Greiver M, Barnsley J, Glazier RH, Moineddin R, Harvey BJ. Implementation of electronic medical records: theory-informed qualitative study. Can Fam Physician 2011; 57 (10) e390-e397
  • 20 Castellucci M. One-on-one EHR training saves physician time, improves satisfaction. Mod Healthc 2018; 28 (38) 34
  • 21 Davis T. Creating the EMR advantage: EMR best practices study. Available at: https://klasresearch.com/report/creating-the-emr-advantage/1337 . Accessed March 23, 2020
  • 22 Stevens LA, DiAngi YT, Schremp JD. , et al. Designing an Individualized EHR learning plan for providers. Appl Clin Inform 2017; 8 (03) 924-935
  • 23 Pantaleoni JL, Stevens LA, Mailes ES, Goad BA, Longhurst CA. Successful physician training program for large scale EMR implementation. Appl Clin Inform 2015; 6 (01) 80-95