Platform

AI that never sees a patient's name.

Clinical handover summaries, discharge letters and shift reports — generated by AI from de-identified records, running in your own cloud.

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Capabilities

AI that works the way clinical governance demands.

De-identified first

Patient names, Medicare numbers, dates of birth and addresses are stripped before any data reaches the AI model. Always.

Your cloud, your model

The LLM runs in your own cloud account — not a shared API. Patient data never leaves your sovereign boundary.

Clinical handover

Shift handover summaries, discharge letters and transfer notes — generated from structured clinical records in seconds.

Full audit trail

Every AI interaction is logged — what was sent, what was returned, who requested it and when. Auditable and immutable.

AI handover

Clinical summaries generated from de-identified records — in your cloud.

PII is stripped before anything reaches the AI. The LLM runs in your own tenancy. Clinicians review and approve before release.

HealthOS — AI Handover AI Handover Shift Handover Discharge Letters Transfer Summaries AI Audit Log AI ENGINE Your cloud LLM De-identification: ON Audit trail: Active Generating: Shift Handover Summary Wing A — Night shift to AM shift — 8 May 2026 1. Extract 2. De-identify 3. AI Process 4. Review Step 3 of 4 De-identified Input PII Removed Resident: [PATIENT-001] [PATIENT-001], [AGE] years, Room [REDACTED]. Night shift report: Slept well from 22:00 to 05:30. One episode of confusion at 03:15 — reoriented successfully. Paracetamol 1g given at 02:00 for lower back pain (self-reported 4/10). BSL 7.2 at 06:00 — within target range. Skin intact, no new concerns. Fluid intake adequate. Fields removed Name DOB Medicare Room Address 6 PII fields removed before AI processing AI-Generated Summary Ready to review Shift Handover — Night to AM Wing A | 8 May 2026 | Generated by AI Margaret Thompson (Room 14B) Settled night with one confusion episode at 03:15 (resolved with reorientation). Pain managed with paracetamol. BSL within range. No skin concerns. Action: Monitor confusion episodes — third this week James Wilson (Room 6A) Uneventful night. Medications given on schedule. Good fluid intake. Resting comfortably at handover. Approve Edit Regenerate AI Audit Trail Timestamp Action User Model PII fields stripped 08:02:14 AEST Handover generated — 3 residents Karen Peters, RN Claude (on-prem) 18 fields Every AI interaction logged | Immutable audit trail | Data never leaves your tenancy Indicative wireframe — HealthOS AI Handover (de-identified clinical summaries)

How it works

A clinician requests a handover summary. HealthOS pulls the relevant clinical records — progress notes, assessments, medication charts — and strips all personally identifiable information. The de-identified record is sent to a large language model running in your own cloud account. The summary comes back, is re-linked to the patient record, and is available for review.

  • Clinician triggers from within the care record
  • PII removed before the record leaves HealthOS
  • LLM processes de-identified clinical content only
  • Summary returned and linked back to the patient

Sovereign by design

Most healthcare AI products send clinical data to a shared cloud API. HealthOS does the opposite — the model runs inside your own cloud account. Your data stays in your tenancy. Your security team controls the keys.

  • Deployed in your own cloud account
  • No shared API, no third-party data access
  • Customer-managed encryption keys
  • Meets APP and Essential 8 requirements

Built for real clinical workflows

AI handover isn't a standalone tool — it sits inside the care record your clinicians already use. Handover summaries, discharge letters, shift reports and transfer notes are generated from the same assessments, progress notes and care plans that staff enter every day.

  • Shift handover summaries for nursing staff
  • Discharge letters for GPs and specialists
  • Transfer summaries for hospital and facility moves
  • Clinician reviews and approves before release

AI handover across care settings

See AI handover in action.

A 45-minute walkthrough with real data from a reference deployment.