AI Patient Follow-up

The check-in that would otherwise not happen.

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AI Patient Follow-up

The check-in that would otherwise not happen.

Verified performance — not yet measured58 of 200 outcomes · release 1.4

The check-in that would otherwise not happen. Automate outreach and improve retention.

  • Higher retention
  • Recall lists actually worked
  • Clinician-approved
  • Consent-aware

Who and where

Same five lines on every Areev listing

Built by
Areev
Set up by
Areev · about 1 hour
Sold by
Areev — merchant of record
Operated by
Areev Inc. — accountable for your data
Runs in
Your tenant, or Areev Cloud USSupport connects from the United States only.

What it does

AI Patient Follow-up works the recall list a clinician approved: post-visit check-ins, overdue reviews, lapsed patients. It records what the patient said in their own words, rebooks where the patient wants to, and escalates anything clinical.

The clinician owns the list

Areev works a recall list a named clinician approved. It never decides who needs following up.

Key outcomes

Follow-up completed

The patient responded and the record is updated

Review rebooked

An overdue patient back on the list

Concern escalated

Straight to the named clinician

Preference captured

Including a request not to be contacted again

How it works

  1. 1

    Approve the list

    A named clinician signs off who is recalled

  2. 2

    Reach out

    On the consented channel, inside contact limits

  3. 3

    Record

    The patient's own words, not a summary

  4. 4

    Act

    Rebook, close, or escalate to the clinician

What you’re buying, and what it can do

What you're buying

Counts as done when

The patient responds to the follow-up and the outcome — rebooked, reassured, or escalated — is written to the record.

Not charged when

The patient could not be reached inside the consent window, or the follow-up was cancelled by the clinic.

If it's wrong

Rework at no charge, or the USD 3 reversed. Tell us within 7 days of the outcome.

Approved by

A named clinician approves the recall list and any escalation. The agent never decides who needs recalling.

Override rate — not yet measured

Measured on

Not yet measured — 58 verified outcomes on release 1.4.

Areev-verified performance appears once a release passes 200 verified outcomes.

What it can do to your systems

Can touch

Reads
Recall lists, visit history, consent records
Writes
Follow-up notes, rebooked appointments, escalation flags

Reversible until

30 days after the write, from its before-image, in one click.

Cannot be undone — a call once spoken, an SMS once sent.

Will not

Interpret a result, advise on symptoms, or change a care plan.

Your material

Never used to train a model, by Areev or by any model provider. Deleted on request, including caches and logs.

We sign your data-protection agreement — entity and residency statement on the compliance pack.

When it's unsure

It escalates to the named clinician rather than reassuring the patient. Anything that sounds clinical stops the script.

Abstention rate — not yet measured

Says it's an AI

The patient is told it is an assistant calling on behalf of the clinic, and can ask for a person at any point.

Compliance pack

SOC 2 Type II with report period, ISO 27001, ISO 42001, the DPA, the sub-processor and model list with 30 days' change notice, and the data-residency statement. Everything your risk assessment needs, in one file.

Open the pack

Features

What you get, beyond the outcome itself.

Named-approver gates

A named clinician approves the recall list and any escalation. The agent never decides who needs recalling.

Before-image journal

Every committed write keeps the record as it was, so a mistake reverts in one click for 30 days. Cannot be undone — a call once spoken, an SMS once sent.

Evidence travels with the outcome

Each completed follow-up carries the material it was decided on, exportable as one file so an auditor can re-perform it.

It stops rather than guesses

It escalates to the named clinician rather than reassuring the patient. Anything that sounds clinical stops the script.

Runs where your data already lives

Your tenant or Areev Cloud US. Support connects from the United States only.

Priced on the result

USD 3 per completed follow-up. Work that does not meet the contract is not billable.

Tools it can use

Clinic PMS

(Recall lists and visit history)

Telephony

(Outbound voice)

SMS & email

(Follow-up messaging)

Knowledge base

(Approved follow-up scripts)

Escalation rota

(Named clinician on duty)

Custom APIs

(Your systems)

Integrations

Works with the tools you already use.

ClinikoHalaxyNexGen HealthcareTwilioSendGrid+ More integrations

Deployment options

Areev Cloud US

Fastest time to value. Managed by Areev

Customer Cloud VPC

Deploy in your cloud (AWS, Azure, GCP)

On-premise

For maximum control. Your infrastructure

Region availability

  • United StatesAvailable
  • More regions coming soon

Pricing

Transparent and simple.

USD 2,500

One-time implementation

Setup, configuration and training

From

USD 350

Monthly platform fee

Based on selected plan

USD 3

Outcome fee

Per completed follow-up

How this gets measured

58

of 200 verified outcomes on release 1.4

Until a release passes 200, Areev publishes no accuracy figure for it. No star ratings, no testimonials — the number comes from the ledger or it does not appear.

What will be published

  • Completed follow-ups accepted without correction, as a rate
  • Override rate — how often the approver changed it
  • Contested outcomes, and how they were settled
  • The denominator and the release it was measured on

Every figure is exportable, so you can reconcile it against your own systems of record rather than take a dashboard on trust.

Questions buyers actually ask

The answers are the contract's, not marketing's.

The patient responds to the follow-up and the outcome — rebooked, reassured, or escalated — is written to the record.

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Explore more clinic operations.

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