JAMIA: Clinical Data Sharing Improves Quality Measurement & Patient Safety

Accurate and robust quality measurement is critical to the future of value-based care. Having incomplete information when calculating quality measures can cause inaccuracies in reported patient outcomes. 

In a study published in JAMIA on March 13, 2021, Vanderbilt's Adam Wright, Allison McCoy, and other researchers from Diameter Health; the University of Texas Health Science Center; and the Kansas Health Information Network examined how quality calculations vary when using data from an individual electronic health record (EHR) and longitudinal data from a health information exchange (HIE) operating as a multisource registry for quality measurement. 

The researchers found that federal, state, and commercial programs that use quality measurement as part of reimbursement could promote more accurate and representative quality measurement through methods that increase clinical data sharing.