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Prevent / Care

Clinician copilot — approve/decline decision packet

Your clinician opens a GLP-1 case and the decision is already laid out — eligibility, history, and flags on one screen — so the call is approve or decline, not read the whole thread first.

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What it does

Onboarding a GLP-1 patient means a clinician has to reconstruct a whole decision from a raw conversation thread: scroll the intake answers, the eligibility facts, the contraindication checks, the BMI and qualifying conditions, and decide whether this person can safely start. That reading is slow, it is the bottleneck on every new start, and inconsistency creeps in when each clinician rebuilds context differently. The agent runs the full intake conversation, gathers the structured facts, and produces one decision packet — an underwriting-style yes/no artifact — so the clinician approves or declines against a clean summary instead of reading the raw threads. The final medical decision stays human; the agent only assembles the case for it.

How it works

  1. 1
    Trigger. an intake conversation reaches completion, or a case is flagged ready for a clinical decision; the agent assembles the decision packet.
  2. 2
    Decision. the agent synthesizes the thread into a structured case — eligibility facts, current and prior medication, BMI and qualifying conditions, contraindication checks, and any open flag — and grades the packet against the program's decision criteria before a clinician sees it.
  3. 3
    Action. the packet appears inside the clinician's queue as a one-screen approve / decline / request-more decision, with the source line behind every fact and anything uncertain surfaced as a question rather than asserted.
  4. 4
    Follow-through. the clinician's decision and reason write back to the patient record; a "request-more" routes the agent back to the patient to collect the missing fact, then re-presents; nothing is communicated to the patient as a clinical decision until the clinician signs it.
Example
Agent (decision packet for review)Ready for your decision. Eligible on BMI and a qualifying condition, no listed contraindications, not currently on an interacting medication. One open item: thyroid history not captured. *Each line sourced to the intake; recommendation withheld pending your call.*
ClinicianGet the thyroid history before I decide.
AgentAsking the patient now — I'll re-present the packet the moment it's answered, with nothing else changed.

Configuration

How the agent is wired for this use case.

Triggeran intake_complete event from the app backend, or a case manually flagged ready for a clinical decision
Tools & actions
  • Clinical/EHR system · read intake answers, medication history, and program stage to build the case
  • Knowledge base · apply the program's eligibility and contraindication criteria; attach the source behind each fact
  • Clinical queue · present the packet as a one-screen approve / decline / request-more decision
  • Clinical/EHR system · write the clinician's decision and reason back to the patient record
  • Messaging channel · when the clinician requests more, collect the missing fact from the patient and re-present the packet
Autonomyassembling, grading, and source-attributing the packet run unattended; the clinical decision is always the clinician's — detect and present, never diagnose or advise a dose; a recommendation is withheld and uncertainty is posed as a question, not an assertion
Channelschat · in-app · email
Escalationevery packet is a human decision point; a flagged contraindication or any safety signal is raised to the clinician on top of the queue, and nothing reaches the patient as a clinical decision without clinician sign-off

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

intake_complete events; a "ready for decision" flag; program-stage and risk events that should shape or re-open a packet

Data

the full intake conversation, medication and program history, BMI and qualifying conditions, contraindication checks, and the program's documented decision criteria

Guardrails

no clinical decision asserted without explicit clinician approval; source attribution on every fact in the packet; clinical = detect and present, never diagnose or advise a dose; a full audit log of packets, decisions, and reasons

Metrics it moves

  • clinician-hours-savedup, as case reading collapses into a one-screen approve / decline against a pre-assembled summary
  • time-to-resolutiondown, because new-start decisions happen in review time, not thread-reading time
  • intake-completionup, since a "request-more" loop closes the missing fact and re-presents instead of stalling the case

Related use cases

Prevent / Care

Clinician copilot — approve instead of writing

drafts the patient reply; this produces a yes/no decision instead

Prevent / Care

Doctor copilot — pre-drafted clinical reply with citations

the reply-drafting sibling in the same copilot family

Prevent / Care

Symptom-triage urgency-ranking layer

the patient-facing rail that feeds clean cases into the decision queue

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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