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Using Clinical Data Standards to Measure Quality: A New ApproachFunding Support for this research was provided by the Kansas Health Information Network and Diameter Health, jointly donating time and resources to the research team.
12 January 2018
17 April 2018
13 June 2018 (online)
Background Value-based payment for care requires the consistent, objective calculation of care quality. Previous initiatives to calculate ambulatory quality measures have relied on billing data or individual electronic health records (EHRs) to calculate and report performance. New methods for quality measure calculation promoted by federal regulations allow qualified clinical data registries to report quality outcomes based on data aggregated across facilities and EHRs using interoperability standards.
Objective This research evaluates the use of clinical document interchange standards as the basis for quality measurement.
Methods Using data on 1,100 patients from 11 ambulatory care facilities and 5 different EHRs, challenges to quality measurement are identified and addressed for 17 certified quality measures.
Results Iterative solutions were identified for 14 measures that improved patient inclusion and measure calculation accuracy. Findings validate this approach to improving measure accuracy while maintaining measure certification.
Conclusion Organizations that report care quality should be aware of how identified issues affect quality measure selection and calculation. Quality measure authors should consider increasing real-world validation and the consistency of measure logic in respect to issues identified in this research.
KeywordsMedicare Access and Chip Reauthorization Act - quality - standards adoption - Continuity of Care Document - clinical data management - Merit-Based Incentive Payment System and Alternative Payment Models - health care reform
Protection of Human and Animal Subjects
This study was approved by the Institutional Review Board for the University of Texas, Health Science Center, Committee for the Protection of Human Subjects. Technical and administrative safeguards were utilized to protect the privacy of such information throughout this research.
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