What we build
Codse Tech builds AI-powered software for healthcare providers and disability service organisations. Every system ships with compliance controls, audit trails, and human review workflows.
- NDIS participant management with AI-assisted care plans and progress notes
- Incident reporting systems aligned with Quality and Safeguards Commission requirements
- Document intelligence for assessments, reports, and plan reviews
- Goal tracking with longitudinal progress analysis
- PRODA integration for automated service bookings and claims
Healthcare AI requires different engineering
Generic AI development skips the constraints that matter in healthcare. Medical and disability service software needs:
| Requirement | What it means in practice |
|---|---|
| De-identification | PII stripped or masked before AI processing |
| Audit trails | Every AI-generated output logged with input, model version, and reviewer |
| Human-in-the-loop | Clinicians or support workers review and approve all AI drafts |
| Data sovereignty | Hosted on Australian infrastructure, APP 8 compliant |
| Incident-ready logging | Full traceability for Commission or OAIC investigations |
AI capabilities for healthcare
Progress note generation
Support workers enter dot points or voice recordings. AI drafts structured notes linked to participant goals. Workers review and approve.
Document intelligence
Assessments, reports, and medical records are parsed, summarised, and cross-referenced against participant profiles automatically.
Incident pattern detection
Structured incident data is analysed for recurring patterns by time, location, staff combination, or behaviour support plan gaps.
Goal tracking analysis
Longitudinal progress note analysis identifies whether participants are tracking toward plan goals or need early review.
Compliance frameworks we build for
- NDIS Quality and Safeguards Commission: incident management, restrictive practice reporting, complaints registers, worker screening verification
- Australian Privacy Act (APPs): data collection, use, disclosure, cross-border transfer, and breach notification
- Notifiable Data Breaches scheme: automated detection and reporting workflows for breaches involving personal information
- Data sovereignty: Australian-hosted infrastructure with no offshore data processing
Sectors
- NDIS registered providers (SIL, community access, therapy, plan management)
- Allied health practices
- Aged care providers
- Mental health services
- Health-adjacent SaaS platforms
Pricing
| Engagement | Typical range | Timeline |
|---|---|---|
| Discovery and compliance audit | $5K-$15K | 2-3 weeks |
| MVP platform | $40K-$80K | 8-12 weeks |
| Full platform with AI | $80K-$180K | 16-24 weeks |
| Ongoing support | $3K-$8K/mo | Monthly |
FAQ
What is healthcare AI development?+
Building AI systems for healthcare and disability services that meet regulatory requirements for data privacy, auditability, and clinical safety.
Can AI be used in NDIS software?+
Yes. AI assists with progress note drafting, goal tracking analysis, incident pattern detection, and document intelligence. All outputs require human review.
What compliance standards apply to healthcare AI in Australia?+
The Australian Privacy Act and Australian Privacy Principles, NDIS Practice Standards, and the Notifiable Data Breaches scheme all apply depending on the provider type and data handled.
How do you handle patient data with AI?+
De-identification before processing, least-privilege access controls, audit logging for every AI interaction, and mandatory human-in-the-loop review before any output enters the record.
How long does it take to build healthcare AI software?+
An MVP with core modules takes 8 to 12 weeks. A full platform with AI features, mobile support, and compliance automation takes 16 to 24 weeks. Discovery adds 2 to 3 weeks.