Evidence map›Paper›PMID 42759973›Full record

ArticleBMJ health & care informatics2026

From quality indicator to quality measurement: design and implementation of an automated audit and feedback tool for chronic kidney disease in Belgian primary care.

Justine Soetaert, Laurien Paredis, Bert Vaes, Ine Van den Wyngaert, Gijs Van Pottelbergh, Steve Van den Bulck

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Justine SoetaertDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium justine.soetaert@kuleuven.be.ORCID http://orcid.org/0009-0007-0334-6815
Laurien ParedisDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0009-0008-0400-4689
Bert VaesDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-5244-1930
Ine Van den WyngaertDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-5515-4750
Gijs Van PottelberghDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4189-3517
Steve Van den BulckDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-0744-3923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo design and implement an automated audit and feedback (A&F) tool for Belgian Electronic Medical Record (EMR) systems to assess and improve the quality of primary care for chronic kidney disease (CKD).

methods36 quality indicators (QIs) for primary CKD care were translated into conjugations and queries programmable within EMR systems. In the development phase, executable queries were constructed, taking into account technical constraints and the reliability of available data. The Intego database, a Belgian general practice-based morbidity registration network and A&F implementation laboratory, was used to test the feasibility and pilot the intervention. Visual feedback dashboards were designed using SAS Enterprise Guide and SAS Visual Analytics.

resultsA final set of 80 queries that could be built into EMR systems was developed, allowing for an automated audit. The design of visual feedback and follow-up queries to make the feedback actionable was described. During the selection process 16 of the 36 indicators were excluded and 10 were adapted for the audit and/or feedback due to technical limitations or unreliable data. The final feedback included 14 indicators presented to clinicians through interactive dashboards. DISCUSSION: This study describes the design of an automated A&F tool to improve the quality of primary CKD care in Belgium. Challenges included data accuracy within EMRs, the variability in data completeness and limitations in EMR query functionality. Future improvements in EMR systems and coding practices, such as the implementation of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and improving feedback accessibility, could enhance the effectiveness of the tool.

conclusionThis study provides building blocks for implementing automated A&F interventions in Belgian EMR systems to improve primary CKD care quality. These building blocks could be applied internationally after validating the QIs.

Indexed as

Electronic Health RecordsMedical AuditPrimary Health CareQuality Indicators, Health CareRenal Insufficiency, ChronicBelgiumDashboard SystemsFeedbackHumansData ScienceElectronic Health RecordsEvidence-Based MedicineMedical Informatics

Identifiers

PMID42759973
PMCPMC13599950

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.