Imaging Data Is Fragmented Across PACS, VNAs and Sites | Damian Leopard, Rhapsody

Bringing clinical data together with imaging data has long been something nobody does well. Book Ian for your event → iankhan.com | booking@iankhan.com SUMMARY Damian Leopard of Rhapsody describes how imaging data sits fragmented across PACS systems and VNAs, especially in multi-site organisations, and why combining it with clinical data has never been done well. He explains the identity resolution layer that makes any of it usable. KEY FINDINGS • Imaging data fragmented across PACS systems • Further fragmentation across VNAs in multi-site environments • Combining clinical data with imaging data as a long-standing failure • An identity solution to confirm you have the right patient • Cleaning data as a precondition, not an afterthought • Reusing tooling built for other data sets • Where interoperability work goes over the next few years GUEST Damian Leopard, VP Growth and Innovation, Rhapsody FULL TRANSCRIPT iankhan.com/futurist/damian-leopard-rhapsody-imaging-interoperability Recorded at RSNA 2025 for The Futurist. ──────────────────── ABOUT IAN KHAN — HEALTHCARE AI KEYNOTE SPEAKER Most AI keynotes end with a better understanding. Mine end with a measured readiness score and a ninety-day plan. Your leadership team is assessed before the event, the room sees its own collective result live, and every attendee leaves with a ninety-day plan they helped build. Every year I interview more than 500 senior leaders on camera. Those interviews become The Futurist and the annual State