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Reviresco 47

Our main system

the middle man

A.N.C.H.O.R.

Autonomous Navigator for Clinical Healthcare Orchestration & Reliability

ANCHOR keeps track of what a hospital has promised a patient, and chases the things that slip. It runs on the computer in front of the clinician and keeps working when the network does not.

What it is not

not an app

A post-discharge operating layer — not an app bolted on the side.

  1. Not a patient app

    Engagement alone does not close a referral that never booked.

  2. Not concierge post-discharge

    Boutique follow-up does not become hospital infrastructure.

  3. Not a clinic with software

    The product is the ledger and the orchestration, not a logo on a practice.

ANCHOR is the layer that writes each discharge promise down — owner, window, what counts as closed — and keeps chasing what is still open.

The parts

five parts

The parts

AreaPartWhat it does
What people seeH.E.L.M.The screen a clinician works in, and the reasons behind what it suggests
How work movesAutopilot busPasses events between parts, checking the rules each time
The helpersSpecialist agentsEach does one narrow job, and says so when it does not know
Working out what is urgentOLRHM + TRISThe maths that ranks what is closest to going wrong
The safety coreShared kernelThe shared foundation everything else has to go through

How work is ordered

priority not fear

Urgency you can argue with. A queue that is not sorted by fear alone.

An inspectable urgency score shows which clinical and social factors pushed a patient up — so a coordinator can disagree with a number instead of fighting a black box.

The worklist does not simply sort by who looks riskiest. It orders work by how much a minute of coordinator time is expected to reduce the chance a promise is missed — so a high-risk patient with nothing actionable today does not crowd out a patient whose medication loop closes with one call.

Ambient documentation tools write notes. Event feeds tell you something already happened. Human navigation programs put people on the phone. ANCHOR is the ledger those efforts run on: which promise is open, whose, and what closes it.

How it works

a person decides

How a piece of information travels through it

From an event arriving to a person deciding — every clinical call stays with a licensed clinician.

  1. 01

    Take it in

    Only with permission

    Appointments, notes, device readings and workflow events arrive tagged with where they came from, who consented, how sensitive they are, and which rules apply.

  2. 02

    Write it down

    One record per promise

    Every open promise becomes its own record: who owns it, when it is due, where it has got to, what has been tried, and whether we know the full picture.

  3. 03

    Work out the pressure

    Hazard, not a snapshot

    The ranking maths recalculates how close a patient is to something being missed, every time a promise opens, is fixed, is missed, or is cancelled.

  4. 04

    Put it in order

    Show the reasoning

    The to-do list puts the most useful next work first, and shows which open promises pushed it up the list.

  5. 05

    A person decides

    Always

    A clinician makes the call. What was done, why, which version of the software suggested it, whether they overruled it, and what happened next are all recorded.

Where it runs

on your machine

It runs on the machine in front of you

ANCHOR is built to work where clinicians actually are, storing everything locally and encrypted. Shared services can sit beside it when a hospital needs them — nothing basic should depend on them.

The clinician's app

Electron, React, TypeScript, Node

Runs on Windows, Mac or Linux. Keeps working when the connection drops.

Storage

SQLite with SQLCipher

Encrypted on the machine, with no setup. Patient names must never appear in plain text in the logs.

The thinking, done locally

Ollama, Whisper, deterministic rules

Transcription and AI run on the same machine. Anything an AI produces can never be the only reason care is stopped.

Shared services

Kafka, NATS, Vault, Terraform

For running across a whole hospital when the site is ready for shared infrastructure.

Next

live walkthrough

See it working.

We walk through the system live — the ledger, the boundary, and how a clinician stays in charge.