AI adoption in aged care:

A checklist and action plan before you go live

12 checks + action plan

For residential aged care and home care providers

Residential Care
Home Care
AI Adoption


AI adoption in aged care:

A checklist and action plan before you go live

AI governance across residential aged care and home care starts with clear accountability, data checks and a written plan for what happens before, during and after go-live. This guide gives aged care and home care providers a 12-point checklist plus an action plan for selecting a tool, preparing staff, handling consent, documenting escalation and reviewing outcomes over time.

AI adoption in aged care:

A checklist and action plan before you go live

AI governance across residential aged care and home care starts with clear accountability, data checks and a written plan for what happens before, during and after go-live. This guide gives aged care and home care providers a 12-point checklist plus an action plan for selecting a tool, preparing staff, handling consent, documenting escalation and reviewing outcomes over time.

The challenge:
AI decisions need clearer visibility

AI brings many questions for residential care leaders and home care teams. Which tools are already in use? Who owns the decision? Where is data processed and stored? What happens when a staff member disagrees with an output?

The answers need to be clear before an AI tool touches a client, a clinician or their data. This guide puts those questions in order, so your team can take a shared plan into procurement, clinical governance and board discussions.

What You'll Learn
  • How to identify where AI is already being used across your residential aged care or home care organisation
  • Which questions to ask before choosing an AI tool, including questions about data, contracts, accountability and risk

  • How to prepare staff to question, override and escalate AI outputs when professional judgement says something needs review

  • What clear consent and client disclosure can look like when AI is involved in care or documentation

  • How to build an audit trail that records the recommendation, decision, reasoning and outcome

  • How to set practical measures for training, oversight, review and continuous improvement

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FAQs

AI governance in aged care is the set of responsibilities, checks and review steps that guide how AI is selected, used and monitored in care settings. It includes accountability, privacy, consent, training, escalation, audit trails and outcome review.

Ask what the tool does, whether it touches client data, where the data is processed, where it is stored and how AI-assisted decisions can be traced. Confirm which responsibilities stay with your clinicians and your organisation.

Repeat it for each new AI tool or use case. Review the audit trail, outcome measures, training and escalation process on a regular schedule, then bring the agreed measures into clinical governance and board reporting.

This guide is for residential aged care and home care providers that are considering AI, reviewing vendor options or preparing a governance process. It is especially useful for leaders responsible for clinical governance, compliance, procurement, operations, privacy and board reporting.

The checklist works across both care settings. You don’t need to have implemented AI to use it. It starts before procurement and continues through go-live and ongoing review.