At a conference last week, I met a GI doctor who vibe-coded his own AI agent to communicate with his patients. He was tired of canceled procedures because patients didn't follow their colonoscopy prep instructions, so between cases, he built a basic AI voice agent. It worked. Patients got answers in their language, compliance improved, and procedures stopped getting canceled. Yet, the agent wasn’t fully integrated with his existing systems. He was still toggling between his agent and EHR, manually documenting everything, and spending time on admin work instead of patient care. While I admire this GI doctor’s ingenuity to solve his own problem, it’s never been easier to build compelling demos of AI agents. The hard part is ensuring these tools can handle tasks across existing systems of record and complete full workflows end-to-end. At Clarion, we're building for physicians like him. This means ensuring that our agents integrate seamlessly with EHRs and existing tools, so that we free up clinical staff to spend more time supporting patients.
Healthcare & Technology Executive | Helping Purpose-Driven Businesses ⬆️ Impact, ⬆️ Revenue & ⬆️ Profitability
1wAgree... at scale this work flow is currently often done in a resource intensive manner involved in a legacy EHR or contact center solution for the provider and integration can be a blocking step to unlocking productivity improvements for providers.