Intelligence that puts participants first
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Australian clinical AI — built for regulated care
Voice notes, progress-note structuring, and coordinator copilot run on Australian infrastructure. Participant identities are pseudonymised before any external model call; clinical outputs require human review before they enter the record.
Your organisation controls AI features, usage logs, and residency settings in HealthOS. Clinical outputs are always labelled and held for staff review before publication.
30 AI assists across your workflows
Grouped by what coordinators, clinicians, schedulers, and compliance teams actually do — optional add-on, flat per account, with every output labelled and held for human review before use.
Platform copilot
1 assistConversational AI across the staff portal — org-scoped, RBAC-filtered, and always human-reviewed before action.
- NDISHome CareAllied Health
Coordinator copilot
Ask roster, budget, compliance, and incident questions in plain English (Cmd+J). Responses use org-scoped aggregates — participant names stay out of external prompts.
“Which participants have Core budgets below 15% remaining?”
AIHuman review required
Documentation quality
4 assistsImprove note quality, aged care documentation, and audit-ready narratives without sending clinical text externally.
- NDISHome Care
Shift note quality assist
Improves shift note drafts for clarity and completeness using shift type, duration, and goals addressed — never raw clinical narrative.
Structural feedback + suggested rewrites before coordinator sign-off
AIHuman review required - NDIS
Case note quality scorer
Scores Coordination of Supports case notes against NDIS Practice Standards — completeness checks from metadata, not clinical content.
Quality score with missing-elements checklist for COS review
AIHuman review required - Home Care
AN-ACC documentation reviewer
Reviews residential aged care documentation across 13 AN-ACC domains and flags under-documented areas that may affect classification funding.
Domain gaps with estimated funding impact per day
AIHuman review required - Home Care
Care plan alignment
Reviews the week's documentation against HCP goals and surfaces gaps before audit or review meetings.
Goal coverage summary with missing-documentation flags
AIHuman review required
Compliance & incidents
4 assistsIncident reportability, investigations, restrictive practice records, and quality standards evidence for regulators.
- NDISHome CareAllied Health
Incident reportability check
Determines NDIS Commission, SIRS, and AHPRA reporting obligations from incident type, severity, and program — before you miss a deadline.
NDIS reportable: yes · SIRS reportable: no · reasoning attached
AIHuman review required - NDISHome CareAllied Health
Investigation narrative drafter
Generates a structured investigation narrative from incident metadata for compliance review before submission.
Timeline + findings draft held for manager approval
AIHuman review required - NDISHome Care
Restrictive practice record drafter
Commission-compliant restrictive practice records from worker descriptions — RP type, duration, and least-restrictive alternatives only.
Structured record with debrief and follow-up actions
AIHuman review required - Home Care
Quality standards evidence narrator
Per-requirement evidence narratives for ACQSC audit packs — counts, dates, and resolved status, no clinical narrative.
Standard 3 evidence pack with gap flags and recommendations
AIHuman review required
Coordination & billing
6 assistsCase notes, budget forecasts, claim validation, and billing code suggestions for coordinators and finance.
- NDIS
NDIS claim pre-validation
Every line checked against the price guide, registration group, budget remaining, and PACE or PRODA rules before submission.
Rate, line item, and budget warnings inline before you submit
AIHuman review required - NDIS
Budget & plan briefs
Weekly coordinator briefs flag plan categories running low — percentages and counts, not clinical narrative.
“2 categories need attention before new shifts are confirmed”
AIHuman review required - NDIS
COS case note drafter
Drafts Coordination of Supports case notes from meeting metadata — goal IDs, action items, and attendee roles only.
Meeting notes in → NDIS-aligned COS draft out
AIHuman review required - NDIS
NDIS line item suggester
Suggests the most appropriate NDIS line item for a shift based on service type, duration, and time of day.
04_104_0125_6_1 suggested with confidence and alternatives
AIHuman review required - Home CareAllied Health
Invoice code suggester
Suggests the correct billing code for allied health or home care services from service metadata.
HCP or Medicare code with description and confidence score
AIHuman review required - Allied Health
MHCP/EPC GP review letter drafter
Professional GP review request letters for MHCP session 6 or EPC session 4 triggers — session counts and goal categories only.
Draft letter ready for practitioner sign-off
AIHuman review required
Workforce & rostering
6 assistsRoster drafting, shift matching, handovers, and attendance risk — built for schedulers and team leads.
- NDISHome Care
Roster draft generator
Generates a weekly roster draft respecting credentials, availability, SCHADS fatigue rules, and participant continuity preferences.
Full week draft with coverage metrics and unassigned shift reasons
AIHuman review required - NDISHome Care
Worker–shift fitness scorer
Scores how well a worker matches a shift based on skills, qualifications, availability, and travel time.
Fit score with matched skills and missing qualification warnings
AIHuman review required - NDISHome Care
Roster cost & coverage advisor
Analyses coverage gaps and cost optimisation opportunities for a given week — shift counts and hours only.
Coverage gaps by day with cost-saving suggestions
AIHuman review required - NDISHome Care
Shift handover summary
Summarises the previous shift into a handover brief for the incoming worker — event types and timestamps, no clinical content.
Key points + follow-up actions for the next worker
AIHuman review required - NDISHome Care
No-show risk flag
Flags shifts at risk of worker no-show from attendance patterns, travel distance, and recent leave.
Risk level with mitigation suggestions before roster is published
AIHuman review required - NDISHome Care
Shift conflict resolver
Suggests resolution options for overlapping or conflicting shifts — times, skills, and pseudonymised worker IDs only.
Three resolution options with impact summary
AIHuman review required
Clinical & progress notes
3 assistsDraft and structure progress notes and voice recordings. Raw clinical content never leaves your environment.
- NDISHome Care
Goal-linked progress notes
Workers describe what happened in their own words. AI structures a compliant, goal-linked progress note in under two minutes.
Voice or text in → NDIS- or HCP-aligned note draft out
AIHuman review required - NDISHome CareAllied Health
Voice notes
Transcribes and structures shift voice recordings into SOAP-style notes when consent is on file.
Recording in → structured note draft for worker review
AIHuman review required - Allied Health
Session summaries
Clinicians get draft SOAP-style summaries from session input — reviewed and edited before the record is finalised.
Subjective / objective / assessment / plan draft for sign-off
AIHuman review required
Analytics & insights
6 assistsDashboard narratives, pattern detection, and workforce insights from aggregate metrics — no PII in prompts.
- NDISHome CareAllied Health
Dashboard priority narrator
One-sentence narrative explanations for coordinator dashboard priority cards — structural metadata only.
“3 plans expire within 14 days — review before roster confirmation”
AIHuman review required - NDISHome CareAllied Health
Report narrative summaries
Plain-language summaries for exported operational reports from aggregate metrics only.
Executive summary paragraph for monthly ops export
AIHuman review required - NDISHome Care
Incident pattern detector
Detects recurring incident patterns across participants and workers — type and severity aggregates, no narratives.
“Falls cluster flagged at Site B — 3 incidents in 14 days”
AIHuman review required - NDISHome Care
Worker performance reviewer
Summarises workforce performance from shift completion, incidents, training, and compliance flags.
Strengths, development areas, and metrics for supervision meetings
AIHuman review required - Home Care
Medication adherence analyser
Analyses MAR administration patterns — missed slots, PRN frequency, and adherence % from structural event data.
Overall adherence 87% · 2 missed evening slots flagged
AIHuman review required - Home Care
Falls & wound risk signals
Trends in falls assessments and wound measurements surfaced for clinical follow-up — alerts for your team, not diagnoses.
“2 active wounds with deterioration flags this week”
AIHuman review required
Six principles behind every feature
The capabilities above are only useful if they are safe. These rules are enforced in architecture and workflow — not policy documents alone.
Transparency
Every AI-generated note, claim hint, budget brief, or coordinator summary is clearly labelled. Staff and reviewers always know what was machine-assisted.
Human oversight
Progress notes, NDIS claims, participant communications, and clinical summaries require coordinator or clinician approval before records are finalised or submitted.
Participant privacy
Names, dates of birth, and identifiers are pseudonymised before any external model call. Mapping is reversed server-side only — never stored in provider logs.
Clinical boundaries
NDIS plan clinical detail, medical diagnoses, treatment plans, and encrypted session notes are never sent to external AI — even pseudonymised.
Moderation & safety
AI output passes content moderation before delivery. Harmful or inappropriate content is blocked, logged, and never silently published.
Organisation control
Per-organisation usage dashboards, feature toggles, and spend limits. Australian-region hosting with audit logs retained for governance.
How pseudonymisation works
Participant and worker identities are not exposed to external AI providers. Mapping lives server-side only.
Original data
"Sam Nguyen"
"NDIS Core — Plan ref 12345"
"Support worker: Maria L."
Server-side
Pseudonymised
"Participant #P8K2"
"Budget category Core — ref masked"
"Worker #W3F1"
API call
External model
Only sees pseudonyms and aggregates
Responses are de-pseudonymised on your infrastructure before display. External providers never receive real participant or worker names in prompts.
What AI can and cannot access
Boundaries enforced in the platform architecture — not policy documents alone.
Content moderation before human review
Every AI draft is checked before coordinators and clinicians see it in workflow.
AI generates draft
Progress note structure, claim validation hints, budget briefs, care-plan alignment checks, or coordinator NLQ responses.
Moderation API check
Content screened for violence, self-harm, harassment, and other policy violations before staff review.
Pass / fail gate
Violations are logged and never delivered. Clean drafts proceed to human review.
Human approval
Coordinator, clinician, or billing officer reviews, edits, and approves before PRODA, PACE, records, or participant comms.
Moderation failures are audit-logged. No AI output is silently published to participants, families, PRODA, or PACE without explicit staff action.
Organisations stay in control
Visibility and toggles for compliance teams and executive sponsors.
Usage dashboard
Real-time view of AI calls, tokens, and cost by feature — aligned to your subscription and governance reporting.
Budget limits
Set monthly AI allowances with in-app warnings and hard stops when caps are reached for the billing period.
Feature toggles
Enable note drafting, claim validation, NLQ, or budget briefs independently as your organisation builds confidence.
See HealthOS Intelligence in action
See progress notes, claim validation, and coordinator questions on the homepage — across NDIS, Home Care, and Allied Health.
View AI showcase