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HIMSS Market Insights Survey Reveals Healthcare Leaders’ Data Priorities

Healthcare’s AI Ambitions Face a Data Reckoning

When emergency clinicians have the right information at the right time, patients benefit. My Emergency Doctor is transforming access to specialist emergency care for hospitals across Australia, connecting clinicians, patients, and critical health information wherever it is needed.

Agent-friendly, AI-ready, cloud-first—InterSystems IRIS® offers the environment to build your future data ecosystem on a modern AI stack. From traditional analytics, dashboards, and machine learning (ML); through assistive vector search, retrieval-augmented generation (RAG), and generative AI (GenAI); to model context protocols (MCP) and autonomous agents, InterSystems provides the technologies you need to reach the highest levels with your data and to make your system an active data partner.

Intelligent Assistants for Secure and Efficient Data Analysis

Healthix’s long-term commitment to data quality proved instrumental when the HIE began pursuing AI opportunities.

InterSystems Data Studio empowers supply chain teams with accurate, trusted, and real-time data to make faster, smarter decisions. By simplifying data integration and providing a low-code, self-service gateway for harmonizing supply chain data, organizations can reduce implementation time, lower costs, and accelerate time to value.

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.

Drawing on insights from 278 organizations representing nearly 40% of U.S. hospitals, the CHIME 2025 Digital Health Most Wired Interoperability & Population Health research shows the start of healthcare’s next digital transformation—transitioning from building connections to achieving true data utility.

Person identity impacts both care quality and financial performance. Duplicate and mismatched records introduce clinical risk, drive denials, and erode trust in data.