New Report
State of Interoperability Report: A strategic framework enabling AI-ready healthcare through interoperability
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Rhapsody Named 2026 Best in KLAS® for Integration Solutions, Marking 17 Consecutive Years of Category Leadership
Recognition reflects sustained customer trust and real-world performance across healthcare interoperability
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Blogs
What is a FHIR® Connectathon? And how do these events evolve this health IT standard?
What's the Purpose of a Connectathon?
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Blogs
Comparing Interface Engines
Learn how Dave Shaver, the chief architect of the first big engine in healthcare, judges the quality of an integration engine and its future proofing.
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White papers
Improving patient-centric measurement in value-based care
Despite widespread EHR adoption, most health systems fare poorly at measuring anything that happens after the patient leaves their facilities.
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HL7 resources
FHIR Resources
FHIR Resources are the data packages used to send or receive data from a FHIR repository. With the STU-3 release 3 of FHIR, there are 92 resources defined.
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Customer stories
Southcoast Health
HIMSS Media Southcoast Health Case Study: Conquering Interoperability Challenges and Migrating from MEDITECH to Epic EMR.
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Blogs
2017 ONC Interoperability Standards Advisory includes modifications
For the third year, ONC for Health IT provided a listing of standards & implementation specifications to enhance the flow of electronic health information.
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Blogs
Why Is a Healthcare Focused Integration Engine Essential?
Most clinicians will never see how important a healthcare-focused integration engine is, even though they rely on it heavily, and it actively facilitates and can improve patient care.
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Blogs
Five Steps to Take Before Selecting Your Next Integration Engine
“Which engine should I choose?” That’s the question you’ll ask yourself once you’ve finally put a plan in place for migrating to a new integration engine.
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Blogs
Understanding terminology categorization and normalization
To integrate and share medical data within an organization and between organizations, data must be normalized to a degree where everyone agrees to what it is.
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