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2025 Digital Health Most Wired Interoperability & Population Health Report

CHIME Report

Executive Summary: The Dawn of Actionable Ecosystems

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The 2025 Digital Health Most Wired (DHMW) Interoperability & Population Health segment report examines how healthcare organizations exchange data across networks, turn shared information into coordinated workflows, and improve population health outcomes through advanced adoption of person-centric digital health ecosystems. This section measures not only technical connection, but also the strategic, operational and cultural maturity required to make interoperability actionable, from data governance and data-sharing frameworks, to affiliate EHR hosting, population health analytics, predictive modeling, and digital communications.

Healthcare is transitioning from a period of “building connections” to a new phase of “data utility.” In this era, success is no longer defined by the technical act of moving data, but by how shared information supports real-time clinical action.

Organizations vary widely in maturity, but the trajectory is clear: interoperability success increasingly depends on high-quality, reliable data being seamlessly exchanged to support real-time decisions, care coordination, and provider-patient engagement at the point of care.

– Don Woodlock, President, InterSystems

In this report:

  • Understanding Organizational Maturity Levels
  • The Governance Anchor: Building “Healthy Data”
  • Technical Foundations: TEFCA, FHIR, and Affiliate Hosting
  • Persistent Barriers: The “Partner Readiness” Hurdle
  • Population Health: Moving from Reporting to Action
  • Building “Healthy Data”
  • The Operational Mindset

Egyéb Források, Amelyek Tetszhetnek

Jul 22, 2026
Proven and Trusted
The Gold-Standard Partner for International Expansion
May 14, 2026
HIMSS Webinar
According to recent HIMSS Market Insights research, 86% of healthcare leader respondents agreed that interoperability without data preparation provides limited value for analytics or artificial intelligence (AI). This data point signals a shift in how healthcare organizations should reimagine their interoperability strategy – not merely as a goal of connectivity – as they continue to deploy AI in clinical, business and operational areas.
Feb 03, 2026
Epic Payer Platform Connectivity
Enable scalable Epic Payer Platform connectivity across enterprise workflows
Nov 07, 2025
Solution Summary
InterSystems EMPI™ is a next-generation enterprise master person index that uses referential matching and other advanced algorithms to accurately link and reconcile disparate identity records.
Oct 02, 2025
HIMSS Market Insights
HIMSS Market Insights conducted this research, sponsored by InterSystems, in April and May 2025 among leaders in MedTech organizations to understand their perspective on integration solutions and efforts. We looked at:
Jun 13, 2025
InterSystems IRIS for Health™ as an Independent Data Repository
A clinical data repository (CDR) enables the processing of healthcare data outside of the electronic medical record (EMR) system. Download the white paper to learn more.
May 29, 2025
HIMSS Market Insights Study
A recent HIMSS Market Insights study reveals that healthcare leaders understand the strategic need for patient identity matching, but struggles remain, particularly with data interoperability, duplicate records and inconsistent or missing data. They acknowledge that challenges must be overcome if they are to accomplish broader initiatives, especially around artificial intelligence (AI) implementation, workflow optimization and data exchange.
May 09, 2025
Longitudinal Health Record
This briefing highlights how InterSystems is collaborating with diverse customer organizations to streamline the set-up of new data feeds to a high-performing longitudinal health record.
May 01, 2025
InterSystems IRIS for Health and FHIR
Simplifying Data Access with InterSystems FHIR Solutions
Apr 21, 2025
Internet of Healthcare Things
Developing solutions that deliver the promise of Internet of Healthcare Things (IoHT) can be difficult. To be successful, developers must capture vast amounts of medical device data in real time.

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