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Operationalizing Bulk FHIR for Scalable Quality Measurement Operationalizing Bulk FHIR for Scalable Quality Measurement
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Operationalizing Bulk FHIR for Scalable Quality Measurement
Points of Light 2026 Case Study 20

April 2026

The collaborators in this case study replaced manual chart reviews and fragmented record requests with automated, group-based data sharing (Bulk FHIR) aligned to national digital quality standards. Using a secure, TEFCA-aligned network and a single connection between organizations, the teams built and tested systems that could exchange large volumes of standardized clinical data for quality reporting. Through ongoing validation and governance, they successfully shared data for more than 5,000 members while ensuring privacy protections were in place. The effort reduced chart-chasing costs, improved record-procurement performance, and shortened reporting timelines.

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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2026 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.