A federal government decision to partially modify Australia’s Integrated Assessment Tool (IAT) for aged care has intensified debate over the role of automated systems in determining access to support services.

The tool, introduced in July 2024, is designed to assess older Australians’ care needs by processing survey responses through an algorithm that assigns eligibility outcomes, funding levels and priority rankings for government-supported aged care services.

Following sustained criticism from advocacy organisations, aged care providers and political opponents, the government has announced limited changes to reintroduce human judgement in exceptional circumstances.

Aged care minister Sam Rae explained that while the system generally works as intended, there are cases where individuals’ complex needs do not fit neatly into the algorithmic framework.In such instances, assessment bodies will be able to escalate decisions to a system governor for further review.

The Coalition, Greens and independent senator David Pocock have united in opposition to the current model, arguing that care decisions should not be determined primarily by automated systems.

Opposition representatives described the government’s response as insufficient, claiming it only makes minor adjustments without restoring full professional override mechanisms.

Concerns have been amplified by cases such as that of a 91-year-old man who, despite being approved for a high-level care package, was assigned a low priority and left waiting months for support.He died before receiving the assistance he was approved for, highlighting the potential consequences of delays in the system.

As of March 2026, nearly 1,000 review requests have been lodged regarding assessment outcomes, with a significant proportion resulting in reassessment.Critics argue these figures indicate systemic issues with the algorithm’s ability to accurately prioritise urgent cases.

The government maintains that the tool improves efficiency, but acknowledges further refinements are needed to ensure fairness and appropriate clinical judgement in complex situations.