Clearsense AI Strategy Aims to Turn Healthcare Data Graveyards into Gold

NASHVILLE, TN – March 09, 2026 – Amid a flurry of artificial intelligence announcements at the HIMSS 2026 Global Conference, Clearsense has unveiled a focused strategy to transform one of healthcare's most challenging and costly burdens—legacy data archives—into active sources of intelligence and savings. The company announced it is embedding AI across its data enablement platform to accelerate the decommissioning of outdated applications and unlock the clinical and operational value trapped within historical data.

This move comes as healthcare organizations face immense pressure to optimize costs while simultaneously modernizing their IT infrastructure. The announcement positions Clearsense to address this dual challenge, moving beyond its established reputation for large-scale application retirement to pioneer what it calls "archive intelligence."

The Billion-Dollar Problem of Legacy Systems

For years, health systems have been saddled with "zombie applications"—outdated, redundant, and often unsupported software that continues to drain IT budgets. Industry analysis suggests that maintaining these legacy systems can consume up to 70% of a health system's IT operating investment. The costs are not just financial; these fragmented systems create data silos, pose significant cybersecurity risks, and hinder the move toward interoperable, data-driven care.

Clearsense has already built a formidable track record in tackling this issue. Its partnership with Trinity Health is widely cited as the largest and most successful legacy application decommissioning initiative in U.S. healthcare. By implementing a disciplined, assembly-line approach, Clearsense helped the health system retire nearly 800 redundant applications. The results were dramatic, yielding over $65 million in net annual savings and a return on investment within the first quarter. This initiative, recognized in reports by both KLAS and Gartner, demonstrated that a strategic approach to application rationalization could deliver massive, measurable financial relief.

With its new AI strategy, Clearsense aims to build on this success, promising to compress timelines and amplify value. “The era of passive archives is over,” said Jason Z. Rose, CEO of Clearsense, in the company's announcement. “We’ve proven that streamlined application rationalization can unlock savings that traditional approaches leave behind. By embedding AI across the lifecycle, we’re further accelerating the archiving journey while transforming historical data into an intelligence layer that delivers value at the point of care.”

A Three-Pillar Strategy for Intelligent Archiving

The company's strategy is built on three pillars designed to redefine the purpose of a data archive. It’s an integrated approach that injects AI into every stage, from initial discovery to long-term data utilization.

First, Clearsense plans to accelerate decommissioning with enterprise-grade governance. The process of identifying which systems to retire, aligning data with legal retention policies (like Designated Record Sets or DRS), and ensuring a defensible audit trail is historically a manual, time-consuming effort. Clearsense is deploying deterministic automation and AI to streamline this entire workflow, turning a complex project into a scalable, repeatable process. This promises to drastically reduce the time-to-savings for health systems managing hundreds of legacy applications.

Second, the strategy focuses on embedding longitudinal archive intelligence into care workflows. A major challenge in healthcare is that a patient's history is often scattered across dozens of retired systems, making it inaccessible to clinicians. Clearsense is using AI to create a better user experience that surfaces relevant, source-traceable insights from archived data directly within the primary electronic health record (EHR) or other operational dashboards. This allows a physician to see a more complete patient history without friction, accelerating clinical decision-making while maintaining strict governance.

Finally, Clearsense aims to establish the archive as an enterprise intelligence foundation. This represents the most significant paradigm shift: transforming the archive from a static repository for legal and compliance purposes into a dynamic system of learning and innovation. By applying AI across decades of longitudinal data from hundreds of sources, organizations can generate new insights with full data provenance. This creates a stable, governed data estate ready to power enterprise-scale analytics and future AI initiatives, eliminating the need for repeated, costly data migration cycles.

“Historical healthcare data is massive and often fragmented across hundreds of systems," noted Jonathan Cook, Chief Technology Officer of Clearsense. "We’re giving health systems an intelligent platform so they can move faster, reduce costs, and unlock value from their archives without compromising governance.”

A Focused Approach in a Crowded AI Field

The HIMSS 2026 conference floor is dominated by discussions of "agentic AI," with major players like Microsoft, GE HealthCare, and CVS Health showcasing AI assistants for clinical documentation, patient flow, and consumer engagement. While the industry buzzes with broad AI platforms, Clearsense’s announcement stands out for its specific, foundational focus.

Instead of competing directly with clinical decision support tools, Clearsense is tackling the unglamorous but critical backend problem of data fragmentation and technical debt. By cleaning up and structuring the vast, messy landscape of legacy data, the company provides the clean, reliable fuel that all other enterprise AI and analytics engines require. This positions them not as just another AI application, but as an essential enabler of an organization's entire data strategy.

This approach also directly addresses mounting regulatory and security pressures. Outdated systems are prime targets for cyberattacks, and regulations like the 21st Century Cures Act and TEFCA are pushing health systems to modernize their data infrastructure for greater interoperability. By providing a governed, secure, and intelligent active archive, Clearsense offers a pathway to mitigate these risks while simultaneously cutting operational costs. The company plans to roll out enhancements aligned with this new AI strategy throughout 2026, building on its leadership in transforming the costly liabilities of legacy IT into strategic assets for the future.