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

Donnelly, C (通讯作者),Univ Sydney, Fac Med & Hlth, Camperdown, NSW 2006, Australia.
2023-1
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.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
卷号:20|期号:1
收录类别:SCIE
语种
英语
来源机构
University of Sydney; University of New South Wales Sydney; St Vincents Hospital Sydney; University of New South Wales Sydney
被引频次(WOS)
0
被引频次(其他)
0
180天使用计数
0
2013以来使用计数
0
EISSN
1660-4601
出版年
2023-1
DOI
10.3390/ijerph20010200
学科领域
循证公共卫生
关键词
electronic medical records quality improvement digital health
WOS学科分类
Environmental Sciences Public, Environmental & Occupational Health