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Clinical AI you can stand behind.

Healthcare AI carries direct patient-safety implications. Deploying it without structured governance, ethics approval, and ongoing oversight is a risk most organisations cannot afford to take.

Regulatory Context

Frameworks you already know.

Healthcare AI in Australia sits under National Health and Medical Research Council (NHMRC) ethics guidelines, Privacy Act 1988 (Cth) obligations for sensitive health data, and emerging clinical AI safety expectations from the Therapeutic Goods Administration (TGA). Research institutions add human-research ethics committee (HREC) requirements. Sentrify structures governance across all of these.

NHMRC Research EthicsPrivacy Act 1988 (Cth)HREC RequirementsISO 42001 Annex AAustralian AI Ethics Framework
Use Cases

What Healthcare & Research uses Sentrify for.

Clinical decision-support AI

Safety and human-oversight assurance for AI tools that support clinical decisions — with governance documentation that describes the model's intended scope and the human review step required before action.

Diagnostic and triage models

Bias and performance governance for diagnostic or triage AI — including documentation of validation data, known limitations, and the process for flagging unexpected outputs.

Research AI ethics

Human ethics approval workflows for research AI — structured to satisfy NHMRC and HREC requirements, with evidence capture at each stage.

Patient-facing AI

Transparency and data-governance assurance for AI that communicates directly with patients — privacy impact assessment, consent documentation, and ongoing monitoring controls.

How Sentrify Helps

Platform capabilities for your vertical.

Ethics approval workflows

Structured multi-stage approval processes aligned to NHMRC and HREC requirements — with quorum tracking, mandatory comments, and a complete immutable audit record.

Health-data governance

Evidence controls verify that data-use governance documents are in place before an AI system is cleared for deployment. Patient data stays in Australian jurisdiction (AWS ap-southeast-2).

Ongoing monitoring

TrustScore™ tracks each system over time. When a model is updated or its operating environment changes, Sentrify flags the affected controls for re-evaluation.

Join our founding pilot cohort in Healthcare & Research.

We're working with a small group of healthcare & research organisations on an 8-week pilot: one real AI system, the full evaluation, and a board-ready assurance report. Help shape the product and get your evidence base in place first. Start with a clinical-support or patient-facing tool and produce evidence for your ethics and governance committee.

Explore the pilotPrefer to talk first? Book a demo
Cover of the AI Governance Checklist: 50 checkpoints for responsible AI deployment
Free download

AI Governance Checklist

50 checkpoints for responsible AI deployment: governance documentation, evidence requirements, control mapping and regulator-ready reporting. Built for Australian compliance contexts (ISO 42001, APRA CPS 230, TEQSA).

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Talk to an expert in Healthcare & Research.

Clinical AI governance is a patient-safety issue. Give your ethics committee the infrastructure to match the responsibility.