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
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.
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.
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.
Bias and performance governance for diagnostic or triage AI — including documentation of validation data, known limitations, and the process for flagging unexpected outputs.
Human ethics approval workflows for research AI — structured to satisfy NHMRC and HREC requirements, with evidence capture at each stage.
Transparency and data-governance assurance for AI that communicates directly with patients — privacy impact assessment, consent documentation, and ongoing monitoring controls.
Structured multi-stage approval processes aligned to NHMRC and HREC requirements — with quorum tracking, mandatory comments, and a complete immutable audit record.
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).
TrustScore™ tracks each system over time. When a model is updated or its operating environment changes, Sentrify flags the affected controls for re-evaluation.
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.
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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).
Clinical AI governance is a patient-safety issue. Give your ethics committee the infrastructure to match the responsibility.