Show Notes

March 27, 2026: Most healthcare organizations see legacy systems as technical debt—costly to maintain, risky to secure, and difficult to access. But what if that same data could become the foundation for your AI strategy?

From the HIMSS floor, Bill Russell sits down with Jason Rose (CEO) and Jonathan Cook (CTO) of Clearsense to explore how health systems can rapidly retire legacy applications while transforming decades of archived data into actionable intelligence.

With hundreds—even thousands—of systems sitting idle across clinical, financial, and operational domains, Clearsense is rethinking archiving as more than storage. By applying AI across ingestion, data normalization, and intelligent querying, they’re enabling organizations to reduce costs, lower cyber risk, and unlock entirely new insights from historical data.

From summarizing hundreds of documents in seconds to embedding archive intelligence directly into clinical workflows, this conversation highlights how legacy data is evolving from a burden into a strategic AI asset—and why the organizations that act now may gain a lasting advantage.

Key Points

• Accelerating Legacy Data Ingestion with AI
• Making Unstructured Data Actionable
• Building a Healthcare “Time Machine”