The Implementation of an Electronic Medical Record in a German Hospital and the Change in Completeness of Documentation: Longitudinal Document Analysis

Bibliographic Details
Title: The Implementation of an Electronic Medical Record in a German Hospital and the Change in Completeness of Documentation: Longitudinal Document Analysis
Authors: Florian Wurster, Marina Beckmann, Natalia Cecon-Stabel, Kerstin Dittmer, Till Jes Hansen, Julia Jaschke, Juliane Köberlein-Neu, Mi-Ran Okumu, Carsten Rusniok, Holger Pfaff, Ute Karbach
Source: JMIR Medical Informatics, Vol 12, p e47761 (2024)
Publisher Information: JMIR Publications, 2024.
Publication Year: 2024
Collection: LCC:Computer applications to medicine. Medical informatics
Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7
More Details: BackgroundElectronic medical records (EMR) are considered a key component of the health care system’s digital transformation. The implementation of an EMR promises various improvements, for example, in the availability of information, coordination of care, or patient safety, and is required for big data analytics. To ensure those possibilities, the included documentation must be of high quality. In this matter, the most frequently described dimension of data quality is the completeness of documentation. In this regard, little is known about how and why the completeness of documentation might change after the implementation of an EMR. ObjectiveThis study aims to compare the completeness of documentation in paper-based medical records and EMRs and to discuss the possible impact of an EMR on the completeness of documentation. MethodsA retrospective document analysis was conducted, comparing the completeness of paper-based medical records and EMRs. Data were collected before and after the implementation of an EMR on an orthopaedical ward in a German academic teaching hospital. The anonymized records represent all treated patients for a 3-week period each. Unpaired, 2-tailed t tests, chi-square tests, and relative risks were calculated to analyze and compare the mean completeness of the 2 record types in general and of 10 specific items in detail (blood pressure, body temperature, diagnosis, diet, excretions, height, pain, pulse, reanimation status, and weight). For this purpose, each of the 10 items received a dichotomous score of 1 if it was documented on the first day of patient care on the ward; otherwise, it was scored as 0. ResultsThe analysis consisted of 180 medical records. The average completeness was 6.25 (SD 2.15) out of 10 in the paper-based medical record, significantly rising to an average of 7.13 (SD 2.01) in the EMR (t178=–2.469; P=.01; d=–0.428). When looking at the significant changes of the 10 items in detail, the documentation of diet (P
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2291-9694
Relation: https://medinform.jmir.org/2024/1/e47761; https://doaj.org/toc/2291-9694
DOI: 10.2196/47761
Access URL: https://doaj.org/article/7939378971ff4d349566be59ad905bc9
Accession Number: edsdoj.7939378971ff4d349566be59ad905bc9
Database: Directory of Open Access Journals
More Details
ISSN:22919694
DOI:10.2196/47761
Published in:JMIR Medical Informatics
Language:English