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

Candice Donnelly (), Anna Janssen, Shalini Vinod, Emily Stone, Paul Harnett and Tim Shaw
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Candice Donnelly: Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia
Anna Janssen: Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia
Shalini Vinod: Liverpool Cancer Therapy Centre, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia
Emily Stone: Department of Thoracic Medicine and Lung Transplantation, St Vincent’s Hospital, Darlinghurst, NSW 2010, Australia
Paul Harnett: Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia
Tim Shaw: Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia

IJERPH, 2022, vol. 20, issue 1, 1-17

Abstract: 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.

Keywords: electronic medical records; quality improvement; digital health (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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