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Electronic health records (EHR) simulation-based training: a scoping review protocol
  1. Joseph K Nuamah1,
  2. Karthik Adapa1,2,
  3. Lukasz Mazur1,2
  1. 1Department of Radiation Oncology, UNC-Chapel Hill, Chapel Hill, North Carolina, USA
  2. 2Carolina Health Informatics Program, UNC-Chapel Hill, Chapel Hill, NC, United States
  1. Correspondence to Dr Joseph K Nuamah, School of Industrial Engineering and Management, Oklahoma State University, Stillwater, United States; jnuamah{at}okstate.edu

Abstract

Introduction Effective electronic health record (EHR)-based training interventions facilitate improved EHR use for healthcare providers. One such training intervention is simulation-based training that emphasises learning actual tasks through experimentation in a risk-free environment without negative patient outcomes. EHR-specific simulation-based training can be employed to improve EHR use, thereby enhancing healthcare providers’ skills and behaviours. Despite the potential advantages of this type of training, no study has identified and mapped the available evidence. To fill that gap, this scoping review will synthesise the current state of literature on EHR simulation-based training.

Methods and analysis The Arksey and O’Malley methodological framework will be employed. Three databases (PubMed, Embase and Cumulative Index to Nursing and Allied Health Literature) will be searched for published articles. ProQuest and Google Scholar will be searched to identify unpublished articles. Databases will be searched from inception to 29 January 2020. Only articles written in English, randomised control trials, cohort studies, cross-sectional studies and case-control studies will be considered for inclusion. Two reviewers will independently screen titles and abstracts against inclusion and exclusion criteria. Then, they will review full texts to determine articles for final inclusion. Citation chaining will be conducted to manually screen references of all included studies to identify additional studies not found by the search. A data abstraction form with relevant characteristics will be developed to help address the research question. Descriptive numerical analysis will be used to describe characteristics of included studies. Based on the extracted data, research evidence of EHR simulation-based training will be synthesised.

Ethics and dissemination Since no primary data will be collected, there will be no formal ethical review. Research findings will be disseminated through publications, presentations and meetings with relevant stakeholders.

  • health informatics
  • general medicine (see Internal Medicine)
  • information technology
  • information management
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This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Contributors JKN contributed to the conceptualisation of the study, wrote and edited the manuscript. KA and LM contributed to the conceptualisation of the study and edited the manuscript.

  • Funding This project was supported by grant number R18HS025597 from the Agency for Healthcare Research and Quality.

  • Disclaimer The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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