MediBOT
MediBOT in production: lessons from Puerto Rico's CHC network
Deploying an AI agent inside a CHC is very different from deploying one in a tech startup. The user is a clinician with two minutes between patients, not a power user with infinite patience.
01 Start where pain is loudest
Our first MediBOT workflow targeted eligibility. That is where staff frustration is highest and the ROI is most obvious. Prior auth is scoped in an assessment.
02 Earn trust before scaling
The agent ran in shadow mode for weeks. Only after staff trusted its outputs did we move to autonomous execution on a narrow set of tasks.
03 Treat the agent like a team member
Onboard it, document its responsibilities, review its performance. Treating MediBOT as digital staff, not a tool, is what made the difference.
Today that team member runs problem list cleanup in eClinicalWorks every night and checks the Puerto Rico payer portals for eligibility before the desk opens.
Want to talk about this in your organization?
Book a 30-minute call with Alberto Rodríguez.