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One Patient, One Record Healthcare organizations rely on a wide range of systems to deliver care — from EHRs and pharmacy software to scheduling tools and billing platforms. But when each system stores patient data separately, inconsistencies, duplicate records and identity challenges can disrupt care and limit AI implementation, workflow optimization and data exchange. Recent HIMSS Market Insights research confirms that healthcare leaders recognize the strategic importance of accurate patient identity data, yet persistent issues continue to undermine progress.

Banks are among the most data-intensive institutions—almost everything a bank does is based on digital processing and data analytics, including advanced analytics and models. For banks, their data is the business.

Successful HIE Deployments Outside the US

With its strong overall performance, InterSystems earns Frost & Sullivan’s 2025 Middle East Enabling Technology Leadership Recognition in the EHR of the future industry.

In this IDC Market Perspective report, IDC emphasizes that AI is no longer an optional feature but a foundational component of healthcare technology, deeply embedded in InterSystems products and strategy.

基于云，按需访问全国范围内的安全患者数据

A Celent Research Survey of Over 100 Retail Banking Executives in North America and the United Kingdom Decision Intelligence in Banking

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.

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.

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.