Literature DB >> 30428487

An Evidence-Based Tool for Safe Configuration of Electronic Health Records: The eSafety Checklist.

Pritma Dhillon-Chattha1,2, Ruth McCorkle2, Elizabeth Borycki3.   

Abstract

BACKGROUND: Electronic health records (EHRs) are transforming the way health care is delivered. They are central to improving the quality of patient care and have been attributed to making health care more accessible, reliable, and safe. However, in recent years, evidence suggests that specific features and functions of EHRs can introduce new, unanticipated patient safety concerns that can be mitigated by safe configuration practices.
OBJECTIVE: This article outlines the development of a detailed and comprehensive evidence-based checklist of safe configuration practices for use by clinical informatics professionals when configuring hospital-based EHRs.
METHODS: A literature review was conducted to synthesize evidence on safe configuration practices; data were analyzed to elicit themes of common EHR system capabilities. Two rounds of testing were completed with end users to inform checklist design and usability. This was followed by a four-member expert panel review, where each item was rated for clarity (clear, not clear), and importance (high, medium, low).
RESULTS: An expert panel consisting of three clinical informatics professionals and one health information technology expert reviewed the checklist for clarity and importance. Medium and high importance ratings were considered affirmative responses. Of the 870 items contained in the original checklist, 535 (61.4%) received 100% affirmative agreement among all four panelists. Clinical panelists had a higher affirmative agreement rate of 75.5% (656 items). Upon detailed analysis, items with 100% clinician agreement were retained in the checklist with the exception of 47 items and the addition of 33 items, resulting in a total of 642 items in the final checklist.
CONCLUSION: Safe implementation of EHRs requires consideration of both technical and sociotechnical factors through close collaboration of health information technology and clinical informatics professionals. The recommended practices described in this checklist provide systems implementation guidance that should be considered when EHRs are being configured, implemented, audited, or updated, to improve system safety and usability. Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2018        PMID: 30428487      PMCID: PMC6247819          DOI: 10.1055/s-0038-1675210

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


  8 in total

1.  Technology induced error and usability: the relationship between usability problems and prescription errors when using a handheld application.

Authors:  Andre W Kushniruk; Marc M Triola; Elizabeth M Borycki; Ben Stein; Joseph L Kannry
Journal:  Int J Med Inform       Date:  2005-04-08       Impact factor: 4.046

2.  Safe Practices for Copy and Paste in the EHR. Systematic Review, Recommendations, and Novel Model for Health IT Collaboration.

Authors:  Amy Y Tsou; Christoph U Lehmann; Jeremy Michel; Ronni Solomon; Lorraine Possanza; Tejal Gandhi
Journal:  Appl Clin Inform       Date:  2017-01-11       Impact factor: 2.342

3.  The SAFER guides: empowering organizations to improve the safety and effectiveness of electronic health records.

Authors:  Dean F Sittig; Joan S Ash; Hardeep Singh
Journal:  Am J Manag Care       Date:  2014-05       Impact factor: 2.229

4.  Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

Authors:  Allan Fong; Jessica L Howe; Katharine T Adams; Raj M Ratwani
Journal:  Appl Clin Inform       Date:  2017-01-18       Impact factor: 2.342

5.  Using FDA reports to inform a classification for health information technology safety problems.

Authors:  Farah Magrabi; Mei-Sing Ong; William Runciman; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2011-09-08       Impact factor: 4.497

6.  'Global trigger tool' shows that adverse events in hospitals may be ten times greater than previously measured.

Authors:  David C Classen; Roger Resar; Frances Griffin; Frank Federico; Terri Frankel; Nancy Kimmel; John C Whittington; Allan Frankel; Andrew Seger; Brent C James
Journal:  Health Aff (Millwood)       Date:  2011-04       Impact factor: 6.301

7.  An analysis of electronic health record-related patient safety incidents.

Authors:  Sari Palojoki; Matti Mäkelä; Lasse Lehtonen; Kaija Saranto
Journal:  Health Informatics J       Date:  2016-03-07       Impact factor: 2.681

8.  Effects of two commercial electronic prescribing systems on prescribing error rates in hospital in-patients: a before and after study.

Authors:  Johanna I Westbrook; Margaret Reckmann; Ling Li; William B Runciman; Rosemary Burke; Connie Lo; Melissa T Baysari; Jeffrey Braithwaite; Richard O Day
Journal:  PLoS Med       Date:  2012-01-31       Impact factor: 11.069

  8 in total
  1 in total

1.  The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned.

Authors:  Zoe Co; A Jay Holmgren; David C Classen; Lisa P Newmark; Diane L Seger; Jessica M Cole; Barbara Pon; Karen P Zimmer; David W Bates
Journal:  Appl Clin Inform       Date:  2021-03-03       Impact factor: 2.342

  1 in total

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