A Systematic Review of Electronic Medical Record Driven Quality Measurement and Feedback Systems

Historically, quality measurement analyses utilize manual chart abstraction from data collected primarily for administrative purposes. These methods are resource-intensive, time-delayed, and often lack clinical relevance. Electronic Medical Records (EMRs) have increased data availability and opportu...

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Veröffentlicht in:International journal of environmental research and public health 2022-12, Vol.20 (1), p.200
Hauptverfasser: Donnelly, Candice, Janssen, Anna, Vinod, Shalini, Stone, Emily, Harnett, Paul, Shaw, Tim
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container_title International journal of environmental research and public health
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creator Donnelly, Candice
Janssen, Anna
Vinod, Shalini
Stone, Emily
Harnett, Paul
Shaw, Tim
description Historically, quality measurement analyses utilize manual chart abstraction from data collected primarily for administrative purposes. These methods are resource-intensive, time-delayed, and often lack clinical relevance. Electronic Medical Records (EMRs) have increased data availability and opportunities for quality measurement. However, little is known about the effectiveness of Measurement Feedback Systems (MFSs) in utilizing EMR data. This study explores the effectiveness and characteristics of EMR-enabled MFSs in tertiary care. The search strategy guided by the PICO Framework was executed in four databases. Two reviewers screened abstracts and manuscripts. Data on effect and intervention characteristics were extracted using a tailored version of the Cochrane EPOC abstraction tool. Due to study heterogeneity, a narrative synthesis was conducted and reported according to PRISMA guidelines. A total of 14 unique MFS studies were extracted and synthesized, of which 12 had positive effects on outcomes. Findings indicate that quality measurement using EMR data is feasible in certain contexts and successful MFSs often incorporated electronic feedback methods, supported by clinical leadership and action planning. EMR-enabled MFSs have the potential to reduce the burden of data collection for quality measurement but further research is needed to evaluate EMR-enabled MFSs to translate and scale findings to broader implementation contexts.
doi_str_mv 10.3390/ijerph20010200
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subjects Audits
Citation management software
Clinical decision making
Clinical outcomes
Data collection
Databases, Factual
Delivery of Health Care
Electronic Health Records
Electronic medical records
Feedback
Health services
Heterogeneity
Intervention
Leadership
Medical personnel
Medical records
Primary care
Quality assessment
Quality improvement
System effectiveness
Systematic Review
title A Systematic Review of Electronic Medical Record Driven Quality Measurement and Feedback Systems
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