AI in Aged Care: A Practical Software Evaluation Guide

When evaluating AI in aged care software, start with a task your team already performs. Preparing a claim, following up an incident or reviewing a changed timesheet gives you something concrete to test. The useful question is whether the software helps the right person reach a sound decision with less work.

This guide offers practical questions for a demonstration and a way to record the answers.

A deadline calculation or a missing-field check can follow defined rules without using generative AI. A drafting tool may produce text that needs review. A recommendation may depend on assumptions that your team needs to inspect. Ask which mechanism is doing the work and what inputs it uses.

For example, an incident workflow can track a recorded deadline while a person still assesses reportability and completes the external notification. See our SIRS workflow guide. Keeping these responsibilities clear makes the demonstration more useful than a list of AI features.

Choose a fictional scenario with a missing or changed input. Ask the presenter to follow it from entry through review and correction.

• What information is missing, and where does the system show that?
• Does the workflow stop, warn or continue?
• Who can correct the record, and what evidence of the change remains?
• How does the next person know the issue has been resolved?
• What happens if a notification is not received?

For a financial example, use a missing individually assessed contribution rate. For a workforce example, use a changed timesheet after initial review. These questions reveal the handovers your operating team will need to manage.

For generated text or a suggested action, ask which records were used and whether the reviewer can inspect them. Check how the person accepts, changes or rejects the suggestion, and whether doing so updates another record.

A clinical suggestion needs an appropriate clinical review process. A payroll suggestion needs the relevant employment and pay context. The presence of an output does not establish that either review has happened. Ask your clinical, finance and operational leads to evaluate the examples relevant to their work.

Ask the supplier to identify the records sent for processing, the processing location, access arrangements, retention and any model-training use. Confirm those answers for the specific feature and service configuration in the proposed agreement.

Also distinguish the input permission from permission to view or act on the result. Bring the people responsible for information governance into this discussion before rollout. Our security page and implementation guide provide starting points for the Statura evaluation.

For each demonstrated capability, record whether it is available in your proposed release, which modules and integrations it needs, the configuration work and its commercial terms. Keep future concepts separate from the capabilities on which your rollout depends.

Use the software evaluation workbook to capture the demonstrated result, unresolved questions, owner and next action. If a capability changes between demonstration and implementation, repeat the relevant acceptance check.

Statura’s AI and automation page presents workflow examples across incident follow-up, clinical review, contribution calculation and payroll preparation. These distinguish the records and rule-based steps from the decisions your team retains.

For a tailored demonstration, choose one task that currently involves chasing information or rechecking a handover. Bring a fictional example and one exception. Follow both through the workflow and record what has been demonstrated before deciding how it fits your operation.