TY - JOUR
T1 - Electronic Health Records and the Reliability and Validity of Quality Measures
T2 - A Review of the Literature
AU - Chan, Kitty S
AU - Weiner, Jonathan P.
PY - 2010/10
Y1 - 2010/10
N2 - Previous reviews of research on electronic health record (EHR) data quality have not focused on the needs of quality measurement. The authors reviewed empirical studies of EHR data quality, published from January 2004, with an emphasis on data attributes relevant to quality measurement. Many of the 35 studies reviewed examined multiple aspects of data quality. Sixty-six percent evaluated data accuracy, 57% data completeness, and 23% data comparability. The diversity in data element, study setting, population, health condition, and EHR system studied within this body of literature made drawing specific conclusions regarding EHR data quality challenging. Future research should focus on the quality of data from specific EHR components and important data attributes for quality measurement such as granularity, timeliness, and comparability. Finally, factors associated with poor or variability in data quality need to be better understood and effective interventions developed.
AB - Previous reviews of research on electronic health record (EHR) data quality have not focused on the needs of quality measurement. The authors reviewed empirical studies of EHR data quality, published from January 2004, with an emphasis on data attributes relevant to quality measurement. Many of the 35 studies reviewed examined multiple aspects of data quality. Sixty-six percent evaluated data accuracy, 57% data completeness, and 23% data comparability. The diversity in data element, study setting, population, health condition, and EHR system studied within this body of literature made drawing specific conclusions regarding EHR data quality challenging. Future research should focus on the quality of data from specific EHR components and important data attributes for quality measurement such as granularity, timeliness, and comparability. Finally, factors associated with poor or variability in data quality need to be better understood and effective interventions developed.
KW - electronic health record
KW - measurement
KW - quality of care
KW - reliability
KW - validity
UR - http://www.scopus.com/inward/record.url?scp=79951648577&partnerID=8YFLogxK
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U2 - 10.1177/1077558709359007
DO - 10.1177/1077558709359007
M3 - Review article
C2 - 20150441
AN - SCOPUS:79951648577
SN - 1077-5587
VL - 67
SP - 503
EP - 527
JO - Medical Care Research and Review
JF - Medical Care Research and Review
IS - 5
ER -