Aged care providers are adopting artificial intelligence tools at a growing pace — from rostering software with predictive scheduling to clinical decision support tools and automated documentation assistants. Each of these tools carries governance obligations that most small and medium providers have not yet addressed. An AI policy template for aged care gives organisations a structured starting point for documenting how they assess, approve, and oversee AI use in care delivery and operations. This guide explains what that policy must cover and where to begin.
Why Aged Care Providers Need an AI Policy Now
Many providers already use AI-enabled tools without recognising them as such. A software platform that suggests care interventions based on resident data, a system that flags falls risk using sensor data, or a scheduling tool that auto-assigns shifts based on workforce data all involve automated processing of information that affects residents or workers. Using these tools without a governance framework leaves providers exposed to privacy breaches, biased outcomes, and accountability gaps.
The Aged Care Quality Standards require providers to manage risk and ensure decisions about resident care are safe and appropriate. When an AI tool contributes to or influences a care decision, the provider remains responsible for the outcome of that decision. "The algorithm recommended it" is not a defence against a care failure.
The OAIC Privacy Guidance for Aged Care AI sets out the privacy obligations that apply when organisations use commercially available AI products that process personal information. Aged care providers handle sensitive health information about residents, which means privacy obligations are particularly significant when AI tools are introduced.
What an AI Policy Template for Aged Care Must Cover
A well-structured AI policy for aged care should address at minimum the following areas:
Scope and Definitions
The policy needs to define what counts as an AI or automated decision-making tool for the purposes of the policy. This prevents the policy from applying only to sophisticated machine learning systems while ignoring simpler algorithmic tools that still carry governance risks.
Use-Case Assessment and Approval
Before any AI tool is deployed, the provider should conduct a structured assessment that considers the clinical or operational use case, what data the tool accesses or generates, how the tool influences decisions, and what the risks are if the tool produces incorrect or biased outputs. The AI Use-Case Approval in Aged Care guide describes how this process can be structured as a repeatable internal workflow.
AI Tool Registration
Every AI tool in use should be recorded in an AI tool register that captures the tool's name, vendor, purpose, data inputs and outputs, the staff roles that use it, and the date of approval. Without a register, providers have no way to audit which AI tools are in use, whether they have been approved, or whether their use has changed over time. The AI Tool Register for Aged Care article sets out what the register should contain and how to maintain it.
Human Oversight Requirements
The policy must define what level of human oversight is required before acting on AI-generated outputs. For clinical decisions, the minimum standard should be that a qualified clinician reviews any AI recommendation before it is actioned. For lower-risk administrative decisions, a lighter-touch review process may be appropriate, but the policy must specify what that looks like.
Privacy and Data Governance
AI tools that process resident data must be covered by the provider's data governance arrangements. The Cybersecurity and Data Governance Policy should be reviewed to confirm it addresses AI-related data flows, including data shared with third-party AI vendors and data retention by those vendors.
The Policy Hierarchy: Where AI Policy Sits in Your Framework
An AI-specific policy does not stand alone. It should be understood in the context of the provider's broader governance hierarchy: the overarching clinical governance framework, the data governance policy, the code of conduct, and the delegation of authority structure. The Policy Hierarchy for AI in Aged Care article maps how these documents interrelate and which takes precedence when they appear to conflict.
Using the AI and Automated Decision-Making Policy Template from Governa gives providers a compliant starting point that is already structured to align with the Quality Standards and privacy obligations. The template includes sections on scope, approval processes, human oversight, register maintenance, incident reporting for AI-related events, and review obligations.
Aligning AI Policy to the Quality Standards
No Quality Standard is explicitly titled "AI governance" — but AI use connects to multiple standard requirements. Standard 2 (governance and management) requires providers to identify and manage risk, and AI tools that influence care decisions are a risk domain. Standard 3 (personal care and clinical care) requires that care decisions are safe and appropriate, which applies whether the input to that decision came from a clinician, a care plan, or an AI output. Standard 8 (organisational governance) requires the governing body to understand and oversee significant risks.
The Governa Policy Mapping to Standards tool identifies the specific standard requirements that your AI governance documents must address.
Related Resources
- AI and Automated Decision-Making Policy Template
- AI Tool Register for Aged Care
- AI Use-Case Approval in Aged Care
- Cybersecurity and Data Governance Policy
- Policy Hierarchy for AI in Aged Care
- Governa Policy Mapping to Standards
- OAIC Privacy Guidance for Aged Care AI
Common Questions About AI Policy Templates for Aged Care
1. Does the Aged Care Quality Standards framework explicitly address AI use?
There is no Quality Standard with AI governance as its sole focus. However, AI use connects to existing standard requirements across governance, risk management, care quality, and human resources. The Commission expects providers to identify and manage risks from AI tools as part of their broader governance obligations. This will likely become more explicit as the sector's use of AI tools grows.
2. What counts as an AI tool for policy purposes?
For practical policy purposes, an AI tool is any software system that uses algorithms, machine learning, or automated logic to process data and generate recommendations, predictions, assessments, or decisions. This includes clinical decision support software, rostering tools with predictive features, falls-risk monitoring systems, automated documentation assistants, and any other system that influences care or operational decisions without direct human calculation.
3. What privacy obligations apply when aged care providers use AI tools?
Aged care providers are bound by the Privacy Act 1988 and the Australian Privacy Principles. When a resident's health information is processed by an AI tool — including being sent to a third-party AI vendor for processing — the provider must have a lawful basis for that use, must inform residents about how their data is used, and must ensure the vendor meets appropriate data security standards. The OAIC Privacy Guidance for Aged Care AI is the most relevant reference document for these obligations.
4. How should an AI-related incident be handled under a near-miss or incident reporting framework?
AI-related incidents — such as an AI tool generating an incorrect clinical recommendation that was acted on, or a data breach caused by an AI vendor — should be captured in the provider's incident management system using existing categories (clinical incident, data incident, etc.) with an AI-specific flag. The AI policy should specify escalation obligations for AI-related incidents and connect to the clinical governance reporting cycle.
5. Do small providers need a separate AI policy or is a section in an existing policy enough?
For smaller providers using a limited number of AI tools, a dedicated section within an existing governance or data policy may be proportionate. However, as AI use grows and becomes more central to clinical and operational processes, a standalone AI and automated decision-making policy provides clearer accountability, easier audit demonstration, and better staff understanding of their obligations. Governa's AI and Automated Decision-Making Policy Template is designed to work at the scale of small and medium providers without requiring a large legal or compliance team to implement.
