AI pilots stall in Australian healthcare amid data gaps

Most Australian healthcare organisations remain stuck at the pilot stage of artificial intelligence projects, according to research from Appian, despite widespread experimentation across the sector.

A survey of 500 Australian healthcare workers found 60% said their organisations were piloting AI or running small-scale trials. Only 12% reported full deployment across multiple care or administrative functions, pointing to a gap between interest in AI and day-to-day rollout.

Appian linked the slowdown to fragmented data and disconnected systems that make AI programmes hard to scale. The research found 72% of healthcare workers regularly operate with incomplete or inaccessible data, while 74% spend at least one day per week on manual administrative tasks.

Appian also pointed to a separate MIT study that found 95% of generative AI pilots fail to deliver meaningful return on investment or scale effectively. That broader finding adds context for healthcare organisations testing AI but struggling to take it into production across teams and functions.

The stakes are significant for a sector under pressure from workforce shortages and rising demand. Appian estimates AI could contribute USD $13 billion annually to Australian healthcare by 2030, framing the slow move beyond pilots as an opportunity cost.

"Despite AI having the potential to contribute $13 billion annually to the Australian healthcare sector by 2030, the majority of local healthcare organisations are currently failing to move beyond AI pilots due to poor data, poor integration, and misaligned use cases. This is a major missed opportunity," said Luke Thomas, Area Vice President, Asia Pacific and Japan at Appian.

Digital gains

The research suggests visible progress in digital services that patients use. In recent years, 85% of healthcare workers said their organisations introduced new digital initiatives aimed at improving service delivery and patient outcomes. A further 90% said digital transformation projects had a positive impact on patients and staff.

Seventy per cent of respondents said their organisations were effective at delivering seamless, patient-centred digital experiences, including online bookings, digital consent forms, and payment systems. These initiatives often sit at the front end of service delivery, where improvements are easier to see and measure through patient experience metrics.

"Healthcare workers are seeing firsthand how digital transformation improves patient care. Whether it's through faster appointment booking, streamlined consent processes, or more efficient service delivery, these digital touchpoints are making healthcare more accessible and patient-friendly," Thomas said.

Integration gaps

Appian's data indicates a split between patient-facing improvements and the systems healthcare workers rely on behind the scenes. Only 21% of respondents said their organisation's clinical, administrative, and financial systems integrate seamlessly across platforms. Another 73% said systems sometimes integrate, but gaps remain and staff still rely on manual workarounds.

That lack of integration can undermine data quality for AI use cases, especially those that require complete records across multiple systems. It can also add work to basic tasks such as collecting information for a referral, compiling a patient record, or reconciling administrative and billing data.

"The paradox facing Australian healthcare is that while digital services have improved the patient experience, healthcare workers are still navigating fragmented systems behind the scenes," Thomas said. "This creates a disconnect between the seamless experience patients now expect and the reality of disjointed systems that staff must work across daily."

The survey results highlight how administrative burden remains a practical constraint. Nearly three-quarters of respondents said they spend at least a full day per week on manual administrative tasks. In a system under capacity strain, time lost to low-value work is often treated as an operational risk, affecting throughput and staff experience.

"Every hour spent on manual data entry, chasing information across disconnected systems, or creating workarounds for integration gaps is an hour taken away from patients," Thomas said. "Healthcare workers entered the profession to provide care, not to battle administrative systems. Addressing these backend integration challenges by embracing AI in process is essential to sustaining the momentum of digital transformation."

From pilots

Appian positioned governance, data integration, and workflow design as prerequisites for broader AI adoption in healthcare. It argued organisations need a unified approach across data, people, and processes to move from limited trials to scaled operations across multiple functions.

The research was conducted in the fourth quarter of 2025 and was commissioned by Appian, with Zoho Research surveying 500 Australian healthcare workers.

"The success of future AI and automation projects will depend on connecting data, people, and processes through a unified approach that allows AI in process to operate at scale. By modernising the foundations of healthcare operations, organisations can unlock new efficiencies, empower their workforce, and deliver better outcomes for patients," Thomas said.