Discharge Summary Agent
A clear plan in the patient's hands.
Turns clinical notes into discharge instructions patients can actually follow, with medication tracking built in. Autonomous on the routine, deferential on anything that needs a person.
- Documents & forms
- System records
- Email & chat
- Structured records
- Scored recommendations
- Posted transactions
Why this work breaks at scale.
Done by hand, it's slow, error-prone at volume, and gets pricier with every head you add. The bottleneck is the swivel-chair between systems, not effort.
What the Discharge Summary Agent does for your team.
Reads what you already have
Ingests documents, records, and messages in the formats your pharma & life sciences stack produces, no clean-room data prep required.
Explains every decision
Each output ships with its reasoning and the source it drew from, so a reviewer can confirm rather than re-derive.
Human-in-the-loop by design
Routine cases run end-to-end; anything above your confidence or value threshold is routed to a person with the full context attached.
Deterministic where it matters
Regulated or high-stakes steps follow fixed, testable workflows, generative help is reserved for drafting and ideation.
Triage to discharge, one clinical view.
Listen
Watches the queue, inbox, or event stream for new work to pick up.
Analyse
Cross-references each item against policy, history, and live context.
Recommend
Surfaces a scored recommendation with the evidence behind it.
Hand off
Acts autonomously below threshold; routes to a person above it.
- Documents & forms
- System records
- Email & chat
- Reference masters
- Structured records
- Scored recommendations
- Posted transactions
- Exception flags
Deployed into the systems you already run.
No rip-and-replace. The Discharge Summary Agent connects to your existing pharma & life sciences tooling and writes back to your system of record.
Deployed for Inpatient & care-coordination teams — fewer 30-day readmissions.
The practical details.
No. It removes the low-judgment, repetitive work and routes anything consequential to a person with the context attached, so your team spends time where judgment actually pays off.
A first version typically runs against your own data within weeks, the first agent can be live in as little as 48 hours, with full deployment in two to eight weeks.
It integrates with the pharma & life sciences systems you already run, Epic, Cerner, FHIR and more, with no rip-and-replace.
Yes. You own 100% of the IP, code, and documentation. There is no platform lock-in and the full system transfers to your team.