Product experiments
After working through data quality, access analytics, referral logic, and automation, I kept returning to the same product question: how do clinics see the operational leakage that usually stays invisible until a patient drops out?
Representative work
I built ClinicRelay around a simple observation: clinics can lose patients before care begins, through missed calls, weak follow-up, poor inquiry tracking, and fragmented front-desk workflows.
The product direction is an audit first, not a generic chatbot: identify leakage points, turn them into improvement opportunities, and then decide what deserves automation.
Output: clinic-facing audit flow, opportunity backlog, and automation roadmap.
A related intake and documentation concept focused on reducing friction before patient information becomes incomplete, duplicated, or hard to follow up.
The service-improvement lens behind ClinicRelay: identify where inquiries, follow-up, and conversion drop out of the patient journey.
Concept work around the digital front door: whether patients can find the clinic, understand the offer, and take the next step without operational ambiguity.