Skip to content
Search to learn about InterSystems products and solutions, career opportunities, and more.

How Patient Identity Resolution Can Help Meet Operational Goals

HIMSS Market Insights Infographic

One Patient, One Record

Healthcare organisations 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 optimisation and data exchange. Recent HIMSS Market Insights research confirms that healthcare leaders recognise the strategic importance of accurate patient identity data, yet persistent issues continue to undermine progress.

There are critical opportunities for healthcare organisations to advance their strategic goals through a unified patient identity strategy. As the backbone of identity management, an EMPI solution with referential matching can provide identity resolution support to accelerate the achievement of these goals.

RELATED TOPICS

Other Resources You Might Like

Oct 09, 2026
AMIA Webinar
Healthcare organizations are investing rapidly in AI, but many efforts remain fragmented across applications, data pipelines, and workflows. This makes it difficult to govern AI consistently, evaluate results in context, and build the trusted foundation needed for enterprise adoption.
Sep 25, 2026
White Paper
Independent Research Study of InterSystems IntelliCare at EMC Healthcare
Sep 25, 2026
Industry Insights
The future of healthcare will be shaped by whether AI fits naturally into clinical work, whether clinicians trust it, whether governance makes adoption safer, and whether outcomes can be measured in real healthcare environments.
Sep 23, 2026
A Technical Architecture for Interoperable, AI-Ready Healthcare Data Platforms
A Data Platform Built for Healthcare Complexity
Sep 21, 2026
AI in Healthcare
Dr. Emeline Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.
Sep 09, 2026
Solution Summary
Reduce Cancelled Procedures Due to Inventory Shortages
Sep 01, 2026
Product Data Sheet
InterSystems Supply Chain Orchestrator™ is a data platform that enables supply chain organizations to see, understand, optimize, and act to attain an agile and resilient supply chain model.
Aug 24, 2026
Fundamentals
RAG retrieves knowledge from your documents. MCP gives AI a standardised way to take actions. Learn when to use each, when to use both, and how they work together in production systems.
Aug 21, 2026
Industry Insights
Originally published by Becker’s Healthcare.
Aug 19, 2026
White Paper
A mid-sized independent asset management firm overseeing more than $110 billion in equity and fixed income portfolios implemented InterSystems Data Studio™ to unify disparate data across dozens of data sources and systems such as spreadsheets, external data and service providers, legacy systems, data lakes, data warehouses, and data marts.

Take The Next Step

We’d love to talk. Fill in some details and we’ll be in touch.
*Required Fields
Highlighted fields are required
*Required Fields
Highlighted fields are required
** By selecting yes, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events. In addition, you consent to your business contact information being entered into our CRM solution that is hosted in the United States, but maintained consistent with applicable data protection laws.