Agentic AI
AI agents that run your
hospital operations
From the front desk to the back office, medOS agents handle the operational work — collections, recall, revenue integrity, capacity and clinical drafting — proactively and around the clock. They propose. You approve. The system executes.
The operating model
Agents propose. You approve. The system executes.
Most automation asks you to trust a black box. medOS keeps four steps deliberately separate — so an agent can run your operations without ever acting without you.
Sense
Agents read across the systems you already run — clinical, financial, inventory and the digital twin — on one event substrate. No data warehouse to build.
Propose
The agent drafts the next best action with its reasoning and a confidence score. Nothing is sent, charged or changed. It is a recommendation, not an act.
Approve
The proposal lands in a unified inbox. A human accepts, edits or rejects — and that decision is the training signal that sharpens the agent over time.
Execute
On accept, the agent calls the very same workflow your staff use. No shadow write paths, no parallel system — one funnel into your real systems of record.
The agent workforce
A digital coworker for every operational job
Each agent is scoped to one job and one data plane, drafts work in your team's queue, and learns from every accept, edit and reject.
Collections agent
Patient financial
Tracks Promise-to-Pay commitments, reaches out to at-risk accounts before they age, builds installment plans by ability to pay, and escalates through collection tiers — every message drafted by the agent and sent on your approval.
- Promise-to-Pay + auto follow-up
- At-risk outreach before delinquency
- Capacity-based installment plans
- Tiered escalation routing
Growth & recall agent
Patient relationship
Recalls lapsed and no-show patients, runs consented campaigns to the right segment, scores leads and nurtures service-line opportunities — purpose-bound to consent, never spam.
- No-show & lapsed-visit recall
- Consented campaign execution
- Lead scoring & lifecycle
- Opportunity pipeline
Revenue-integrity sentinel
Revenue cycle
Catches what leaks — supplies consumed but never charged, under-coded encounters, preventable denials and no-show yield loss — and proposes the correction for a coder to post.
- Charge-leakage detection
- Under-coding recovery
- Denial prevention, pre-bill
- No-show yield
Capacity & disruption agent
Operations
Senses a capacity breach from the HORUS digital twin and proposes a recovery plan — defer electives, open surge beds, reroute admissions — quantified by a live simulation before you act.
- Twin-driven surge response
- Bed & OR optimization
- Re-accommodation playbooks
- Quantified by Monte-Carlo
Clinical coworkers
Clinical · plane-isolated
The coder drafts ICD-10/DRG, the nurse drafts SBAR and care plans, the pharmacist offers a second opinion, the ambient scribe drafts the note — all draft-until-signed, never an autonomous clinical write.
- Medical coder
- Nurse SBAR & care-plan
- Pharmacist second-opinion
- Ambient scribe
Service & support agent
Front office
Triages inbound tickets, deflects the routine, routes the rest with full context, and flags issues before they escalate — across patient and prospect channels, with the plane decided per task.
- Ticket triage & deflection
- Context-rich routing
- Proactive issue detection
- Patient & prospect channels
Automations in action
Watch each agent draft live work
Every panel is one agent running its loop — sensing across your systems, drafting the next best action with a confidence score, and queuing it for a human to accept, edit or reject. Open any panel for the full agent. Nothing here sends, charges or changes anything on its own.
Promise-to-Pay outreach
Balance ฿4,200 · due Jun 20 · SMS channel
Lapsed-visit recall
lead score · top segment scored & queued
+ propose charge line · ฿180 recovered
Surge recovery plan
Defer 3 electives · open 4 surge beds
Monte-Carlo · p95 breach averted
Coder draft · ICD-10 + DRG
context-rich routing · escalation flagged
Proactive intelligence
It sees the problem before you do
The agents watch the same signals your best supervisor would — across capacity, cash, claims and supply — and surface the issue while there is still time to act.
Capacity breach
Occupancy crosses a ward band — recovery proposed before gate-level disruption.
Charge leakage
Consumed but never charged — the missing line surfaced for a coder.
Payment risk
An account drifting toward delinquency — outreach before it ages.
Denial risk
A claim likely to be rejected — flagged pre-bill, not after.
No-show pattern
A booking likely to lapse — recall or backfill proposed in time.
Supplier drift
Lead-time variance and stock-outs identified before they bite.
Not a black box
Why hospitals trust agents here
Autonomy without guardrails is a liability in a setting where a wrong action harms a patient or a balance sheet. These are the design choices that make agentic operations safe to run.
Recommender-first, not autonomous
Agents propose; humans dispose. Clinical writes and payment captures can never run hands-free — by design, not by policy.
Quantified by the twin
Operational proposals are scored by a live discrete-event simulation — a number you can trust, not an LLM hunch.
Plane-isolated
Growth agents literally cannot read a chart — isolation is enforced at the database grant, not just in app logic.
Funnels into your workflows
On accept, the agent uses the same endpoints your staff use. No parallel system to reconcile, no second source of truth.
On-box AI, optional
Run inference on Ollama on your own hardware. PHI never has to leave the building — air-gapped deployments supported.
Audited per decision
Every proposal and disposition is logged with its full reasoning trace, attributed to a named agent identity.
Enterprise impact
What changes when agents run the floor
Around-the-clock operations
Agents work the backlog 24/7. Your team works the exceptions, not the queue.
Revenue you were leaving behind
Proactive collections, recovered charges and fewer denials — the money already owed to you.
Safe by construction
Recommender-first, human sign-off, plane-isolated and audited on every decision.
One operations console
Every agent proposal in a single workspace, with twin context and an SLA.
Built on the medOS event substrate and the HORUS digital twin — the same backbone your clinical, financial and operational systems already run on. Agents are an addition to your stack, not a replacement for it.
Put a digital coworker on every job
See the agents draft real work against your own workflows — collections, recall, capacity and clinical — all under human sign-off.