Join two leaders, one from the operations side, one from the platform side, as they walk through the realities of implementing operational AI across imaging center workflows. They’ll share what to look for, which questions to ask before deployment, what’s lived up to the hype, what hasn’t, and the early signs of success they’re tracking across a 60+ location network.
They’ll cover where operational AI has delivered measurable gains, from order processing and scheduling to patient communication, and what radiology leaders should realistically expect in the first 90 days.
Here’s What We’ll Cover:
- What pushed Capitol Imaging to move on AI, and what they wish they’d known earlier
- The human side: How the team reacted, and what they did about it
- Where AI has delivered real value, and where it hasn’t (yet)
- What the rollout actually looked like: From pilot to roll out across 60+ imaging centers
- What the first 90 days revealed: Patterns, friction points, and early wins
- Why certain workflows respond better to AI than others
- How AI is changing front-office operations beyond fax: From scheduling to patient engagement
Who Should Attend:
- COOs and Operations Leaders
- Imaging Center Leadership and Directors
- CIOs and CTOs
- RIS Directors and Managers
- Radiology and Imaging Managers
- Radiologists
Expert Panel:
Tim leads technology strategy across Capitol Imaging Services’ network of 60+ imaging centers. A registered radiologic technologist and certified radiology administrator, he brings both clinical credibility and operational depth to every technology decision. Tim is currently guiding Capitol Imaging’s adoption of operational AI across front-office workflows and will share what that journey looks like day to day. | 
Isaac heads up technology at AbbaDox, the company behind the intelligent operations platform purpose-built for outpatient radiology and imaging centers. With more than two decades building technology for radiology workflows, he brings the builder’s perspective on what makes AI solutions succeed or fail in busy imaging environments. |