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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jul 3, 2025
Open Peer Review Period: Jul 21, 2025 - Sep 15, 2025
Date Accepted: Dec 17, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Development of Quality Indicators for the Correct Use of Electronic Medical Records in Primary Care: Modified Delphi Study

Paridaens R, Van den Bulck S, De Jonghe M, Fauquert B, Meel L, Raat W, Vaes B

Development of Quality Indicators for the Correct Use of Electronic Medical Records in Primary Care: Modified Delphi Study

JMIR Med Inform 2026;14:e80057

DOI: 10.2196/80057

PMID: 41553117

PMCID: 12865340

Development of quality indicators for the correct use of electronic medical records in primary care using a Delphi-derived method

  • Rico Paridaens; 
  • Steve Van den Bulck; 
  • Michel De Jonghe; 
  • Benjamin Fauquert; 
  • Liesbeth Meel; 
  • Willem Raat; 
  • Bert Vaes

ABSTRACT

Background:

When used correctly, electronic medical records (EMRs) can support clinical decision-making, provide information for research, facilitate coordination of care, reduce medical errors, and generate patient health summaries. Studies have reported large differences in the quality of EMR data.

Objective:

Our study aimed to develop an evidence-based set of electronically extractable quality indicators (QIs) approved by expert consensus to assess the good use of EMRs by general practitioners (GPs) from a medical perspective.

Methods:

The RAND-modified Delphi method was used in this study. The TRIP and MEDLINE databases were searched, and a selection of recommendations was filtered using the SMART principle. The panel comprised 12 GPs and 6 EMR developers. The selected recommendations were transformed into QIs as percentages.

Results:

A combined list of 20 indicators and 30 recommendations was created from nine guidelines and four review articles. After the consensus round, 20 indicators and 20 recommendations were approved by the panel. All 20 recommendations were transformed into QIs. Most QIs evaluate the completeness and adequacy of the problem list.

Conclusions:

This study provided a set of 40 EMR-extractable QIs for the correct use of EMRs in primary care. These QIs can be used to map the completeness of EMRs by setting up an audit and feedback system and to develop specific (computer-based) training for GPs.


 Citation

Please cite as:

Paridaens R, Van den Bulck S, De Jonghe M, Fauquert B, Meel L, Raat W, Vaes B

Development of Quality Indicators for the Correct Use of Electronic Medical Records in Primary Care: Modified Delphi Study

JMIR Med Inform 2026;14:e80057

DOI: 10.2196/80057

PMID: 41553117

PMCID: 12865340

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