A Practical AI Governance Checklist for Care Documentation

Start With the Workflow, Not the AI

AI-assisted documentation can help teams organise information or prepare a draft, but a tool does not replace provider governance or professional judgement. Before introducing one, define the task it will support, the records involved, who may use it, and which decisions must remain with an authorised person.

Map the process from information capture through review, correction, approval, and entry into the provider's record system. Make clear whether the tool creates a draft, suggests wording, summarises source material, or performs another function. Avoid describing generated text as verified evidence until an appropriately authorised staff member has checked it.

AI Documentation Governance Checklist

• Purpose and boundaries: document approved use cases and prohibit uses outside the provider's assessed scope.
• Privacy and data flow: identify what personal or sensitive information is collected, where it is processed, who can access it, and how long it is retained.
• Security and suppliers: assess access controls, encryption, incident response, subcontractors, data location, contractual terms, and deletion practices.
• Human review: require staff to check names, dates, observations, actions, attribution, context, and whether the draft matches the source information.
• Record integrity: preserve authorship, timing, version history, corrections, and the provider's approved recordkeeping process.
• Training and support: teach staff what the tool can and cannot do, how to report errors, and when to stop and escalate.
• Monitoring: sample outputs, capture incidents and near misses, investigate recurring errors, and review the use case when the service or tool changes.

Make Review a Real Step

A review step should be practical in the team's workflow, not just a sentence in a policy. Staff need time, access to the source information, and a clear way to correct a draft before it becomes part of a formal record. If a draft introduces a fact that was not supplied, removes an important qualification, or confuses an observation with a clinical conclusion, it must be corrected rather than accepted for convenience.

For example, a worker's observation that a person ate less than usual should not become an unsupported diagnosis. Record what was observed, what the person said, what action was taken within the worker's role, and who was notified under the provider's process.

Put Accountability in Writing

Assign an operational owner for the tool, a governance contact for privacy and risk questions, and an authorised approver for relevant policies. Explain to staff how to raise concerns and how the provider will respond if a draft is inaccurate or information is disclosed incorrectly. Review the arrangement when the vendor, model, data flow, intended use, or applicable requirements change.

Use the checklist as a starting point for local assessment, not as proof that a particular tool is safe or compliant. Providers remain responsible for their own policies, privacy obligations, records, and care decisions. For record-level controls, see our guide to record integrity and audit trails.

Keep the Person at the Centre

AI governance should protect dignity, choice, privacy, and the person's right to accurate records. Collect only information needed for the approved purpose, use accessible communication where appropriate, and follow the provider's process for questions, corrections, consent, and complaints.

This article provides general information, not legal, clinical, or privacy advice. Providers should assess their own services, contracts, information flows, and current Australian requirements before using AI with care information.