AI agent for clinics and healthcare operations
Protocols, handoffs, compliance. Cognition models clinical knowledge decay so re-training happens before an audit — or an incident.
An AI operating stack for clinics and healthcare operations brings protocols, intake scripts, and compliance procedures into an AI agent accessible at the point of care — with CLO tracking which staff are about to forget which protocol. Deployable in HIPAA-aware configurations.
The problem
- Protocols change every quarter. Staff are supposed to re-read 40 pages. Nobody does.
- A new MA takes 6 weeks to ramp, mostly by shadowing — which pulls your senior staff off patients.
- Audits require you to prove training happened. You have signatures. You don't have retention.
A company like yours
Dr. Chen's clinic sees 280 patients a week across primary care and wellness. New medical assistants take ~6 weeks to ramp. Protocol refreshers happen quarterly — signed and forgotten. When the clinic added a wellness line last fall, 40 pages of new intake flows shipped. Three months later, the clinic discovered half the MAs were still using the old intake script because the change was 'buried in the December all-hands slide.'
Before vs after
- ~6 weeksMA ramp to independent rooming
- ~25 hrsSenior staff hours per new hire
- OftenProtocol drift discovered by chance, not audit
- ~10 daysMA ramp to independent rooming
- ~4 hrsSenior staff hours per new hire
- Per-staff, per-protocol, weeklyProtocol drift visible proactively
The stack, in plain English
For clinics: Claude Code (or any HIPAA-aware MCP client) as the interface, a self-hosted memory server (memory-mcp, letta, or mem0 on-prem) holding protocols and training docs, plus your EMR's MCP bridge where available. CLO on top tracking per-staff retention. Deployable on your infrastructure.
What day one looks like
FAQ
Is this HIPAA compliant?
The stack can be configured to be. Memory servers like memory-mcp and mem0 are self-hostable, so PHI never leaves your infrastructure. CLO stores concept engagement events — not patient data or protocol content. BAA discussions: email us at vedant@cognitionus.com.
Can this touch the EMR?
Epic, Athena, and some newer EMRs have MCP or FHIR bridges. The agent reads/writes per scoped permissions. Most of the value lands without EMR integration — protocols, training, handoffs.
Will staff trust it more than a senior provider?
No, and it's not positioned to replace judgment. It replaces the 'where's the protocol?' lookup and catches training decay. All agent outputs cite their source.
What does the auditor see?
Per-staff, per-protocol retention history. Engagement timestamps. Last refresher. Predicted retention today. This is substantially richer than a signed training log.
How do we prevent hallucination on clinical questions?
The agent is gated to cite sources. CLO's job is not to answer clinical questions — it's to ensure the human staff remember the protocols. For clinical decision support, combine with a dedicated CDSS; we can recommend partners.