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Prevent / Care

Titration-readiness clinician handoff

"Am I ready for the next dose?" is the question GLP-1 patients ask most — the agent turns it into a ready-or-hold recommendation the prescriber approves in one click.

Close the loopGet aheadTime-based triggerBehavioral triggerPushChatIn-appWhatsAppGLP-1 & PeptidesHealth & Telehealth

What it does

"Am I ready to step up?" is the single most-asked question in GLP-1 support, and today it either stalls in a queue waiting for a clinician to reconstruct the case, or gets a vague answer that helps no one. The work behind the answer is the same every time: pull the current dose, check how the patient has tolerated it, look at the weight trend, and compare all three against the titration protocol. The agent does that assembly at the step-up moment, applies the encoded protocol, and produces a clinician-facing ready-or-hold recommendation with the reasoning attached — so the prescriber approves or overrides in one click instead of starting from a blank thread. The agent never sets or confirms the dose itself; the step-up stays a clinician's decision.

How it works

  1. 1
    Trigger. the patient reaches a scheduled step-up point (titration steps come every few weeks), or asks directly whether they are ready for the next dose.
  2. 2
    Decision. the agent gathers current dose, side-effect tolerance, and weight trend from memory and the record, checks them against the encoded titration protocol, and forms a ready-or-hold recommendation — surfacing anything uncertain as a question, never an assertion.
  3. 3
    Action. the recommendation lands in the prescriber's queue with its reasoning and the underlying data attached, carrying one-click approve, hold, and override controls; nothing goes to the patient until the prescriber acts.
  4. 4
    Follow-through. the prescriber's decision is what reaches the patient, the outcome writes back to memory so the next step-up starts from the full picture, and a tolerance signal that argues for a hold is flagged rather than smoothed over.
Example
PatientIt's been a month on this dose — am I ready to go up?
AgentGood question, and one only your prescriber can confirm. I've put your case in front of them now.
Agent (recommendation for the prescriber)Four weeks at the current dose, side effects mild and settling, steady weight trend — protocol supports a step-up. Approve, hold, or adjust? *Reasoning and dose history attached.*

Configuration

How the agent is wired for this use case.

Triggera scheduled titration step-up milestone from the scheduling system, or a patient "am I ready for the next dose?" message
Tools & actions
  • Clinical/EHR system · read current dose, side-effect tolerance, and weight trend to assemble the case
  • Knowledge base · apply the encoded titration protocol and attach the reasoning behind the recommendation
  • Clinical queue · surface the ready-or-hold recommendation with one-click approve, hold, and override controls
  • Messaging channel · deliver only the prescriber's confirmed decision to the patient, on push, chat, in-app, or whatsapp
  • Memory store · write the decision and outcome back so the next step-up starts from the full picture
Autonomycase assembly and the protocol-based recommendation run unattended under a clinical-safety policy class; the agent never sets or confirms a dose — the step-up requires explicit prescriber sign-off, and anything uncertain is posed as a question
Channelspush · chat · in-app · whatsapp
Escalationevery step-up decision is the prescriber's; a side-effect-tolerance signal that argues against escalating is flagged for the clinician rather than resolved by the agent

What you need

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

Signals

scheduled titration-step milestones, "am I ready for the next dose?" messages, side-effect reports and weight-trend updates

Data

current dose and dose history, side-effect tolerance log, weight trend, the encoded titration protocol, persistent patient memory, consent state

Guardrails

clinical-safety policy class — the agent assesses and recommends but never sets a dose; explicit prescriber sign-off on every step-up; reasoning and sources attached to every recommendation; uncertain cases posed as questions, not assertions; judge gating on every patient-facing message; full audit trail of every recommendation and decision

Metrics it moves

  • clinician-hours-savedup, as the most-asked titration question arrives pre-assembled for a one-click decision instead of a from-scratch case review
  • time-to-resolutiondown, because the patient gets a prescriber-confirmed answer in review time rather than waiting through a queue
  • adherenceup, as step-up decisions happen on schedule instead of stalling, keeping patients moving through titration

Related use cases

Prevent / Care

Clinician copilot — approve instead of writing

the general approve-queue this specializes into a protocol-encoded readiness recommendation

Prevent / Care

Dose-hold coaching on a side-effect spike

the counterpart that surfaces a hold when tolerance drops mid-titration

Prevent / Care

Proactive dose step-up preparation

the expectation-prep touch ahead of a known step-up, with no recommendation

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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