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.
Solutions / Healthcare & Research
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.
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.
Case studies coming soon.
We are working with early adopters to document real governance outcomes. Talk to our team to learn what organisations like yours are building.
Talk to our teamGet started
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.