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InterSystems HealthShare for Payers 2025
Enhancing Healthcare Data Integration with InterSystems
Author
Steve VanWagenen
Author
Sidnee Wood
Healthcare organizations face significant challenges with efficiency and compliance when integrating and managing patient data from various sources—including different care settings, third-party organizations, and nonclinical social determinates of health. High costs and complexities in developing and maintaining interoperability solutions can also hinder effective data exchange. InterSystems’ HealthShare is a scalable integration platform that health plans and other payer organizations can use for a variety of interoperability use cases, including CMS rules compliance. Built to run seamlessly with InterSystems’ IRIS database, the platform’s core is HealthShare Unified Care Record. This report explores customer experiences with HealthShare, examining its effectiveness and areas for improvement in healthcare data integration.
Note: First Look reports are intended to shed light on the customer experience with solutions not previously rated by KLAS. For three years, KLAS has measured InterSystems HealthShare for Payers only for the CMS solution pack, which is used by a subset of HealthShare customers. This report for the first time shares feedback from a wider array of HealthShare health plan and payer customers.
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Key Findings:
- InterSystems HealthShare for Payers Customer Experience: An Initial Look
- Points to Ponder
- InterSystems: Company Profile at a Glance
- Customer Interview Details
Project Manager
Kyle Chilton
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. © 2025 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.