Literature DB >> 27357831

Comparison of accuracy of physical examination findings in initial progress notes between paper charts and a newly implemented electronic health record.

Siddhartha Yadav1,2, Noora Kazanji3, Narayan K C4, Sudarshan Paudel5, John Falatko3, Sandor Shoichet3, Michael Maddens3, Michael A Barnes3.   

Abstract

INTRODUCTION: There have been several concerns about the quality of documentation in electronic health records (EHRs) when compared to paper charts. This study compares the accuracy of physical examination findings documentation between the two in initial progress notes.
METHODOLOGY: Initial progress notes from patients with 5 specific diagnoses with invariable physical findings admitted to Beaumont Hospital, Royal Oak, between August 2011 and July 2013 were randomly selected for this study. A total of 500 progress notes were retrospectively reviewed. The paper chart arm consisted of progress notes completed prior to the transition to an EHR on July 1, 2012. The remaining charts were placed in the EHR arm. The primary endpoints were accuracy, inaccuracy, and omission of information. Secondary endpoints were time of initiation of progress note, word count, number of systems documented, and accuracy based on level of training.
RESULTS: The rate of inaccurate documentation was significantly higher in the EHRs compared to the paper charts (24.4% vs 4.4%). However, expected physical examination findings were more likely to be omitted in the paper notes compared to EHRs (41.2% vs 17.6%). Resident physicians had a smaller number of inaccuracies (5.3% vs 17.3%) and omissions (16.8% vs 33.9%) compared to attending physicians.
CONCLUSIONS: During the initial phase of implementation of an EHR, inaccuracies were more common in progress notes in the EHR compared to the paper charts. Residents had a lower rate of inaccuracies and omissions compared to attending physicians. Further research is needed to identify training methods and incentives that can reduce inaccuracies in EHRs during initial implementation.
© The Author 2016. 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:  EHR; EMR; accuracy; electronic health record; inaccuracy; paper chart; physical examination

Mesh:

Year:  2016        PMID: 27357831     DOI: 10.1093/jamia/ocw067

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


  15 in total

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Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

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9.  Opioid Misuse and Dependence Screening Practices Prior to Surgery.

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Journal:  J Surg Res       Date:  2020-04-10       Impact factor: 2.192

10.  Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists.

Authors:  Li Zhou; Suzanne V Blackley; Leigh Kowalski; Raymond Doan; Warren W Acker; Adam B Landman; Evgeni Kontrient; David Mack; Marie Meteer; David W Bates; Foster R Goss
Journal:  JAMA Netw Open       Date:  2018-07-06
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