Full Self-Driving, But for Imaging Operations | Robert MacDougall, Quantivly

Built from questions asked by Harvard Medical School radiology chairs. Now with an automation layer on top. Book Ian for your event → iankhan.com | booking@iankhan.com SUMMARY Robert MacDougall built Quantivly out of specific questions put to him by administrative directors and radiology chairs within the Harvard Medical School system and Boston Children's. He explains the structured data layer, the automation built on top of it, and rejects the build-versus-buy framing outright. KEY FINDINGS • Specific questions from Harvard Medical School radiology leadership • Work originating at Boston Children's • Structuring imaging operations data properly first • An automation layer described as full self-driving for operations • Rejecting build versus buy as a false narrative • Acting as a source of truth that you can buy and build on • A revenue win for providers rather than a trade-off NOTABLE QUOTES "There's usually a trade-off with the solution. In our solution, it's a win-win." — Robert MacDougall GUEST Robert MacDougall, Co-founder, Quantivly FULL TRANSCRIPT iankhan.com/futurist/robert-macdougall-quantivly-imaging-operations 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-