Thursday 20 November 2025 | 13:30-15:30 

Format: Presentation

Stream: Safety

Part One: AI: Supporting Clinicians and Improving Clinical and Operational Outcomes

The Ainsoff Deterioration Index (ADI) is a patient acuity monitoring tool which provides clinicians with additional information to support their decision making. ADI has proven to improve clinical outcomes in a clinical trial. It was built using a trained AI model. Importantly, it is an example of what AI should be – a tool to support, not replace, clinician decision making. It shows how leveraging a tested model can begin to open up other opportunities to impact patient and acute care communities.

Larissa Mason Beamtree; Australia

Part Two: Helping to drive Healthcare Associated Infections toward Zero

Healthcare-Associated Infections (HAIs) impact 170,000 Australians annually, causing over 7,500 deaths—exceeding the combined fatalities from breast cancer, prostate cancer, and road accidents. Despite this significant burden, HAI rates have remained stagnant for 40 years due to a lack of new research and adoption of innovative technologies. The Daylight Foundation’s research aims to reduce HAIs by modelling Disability-Adjusted Life Years (DALYs) to quantify the impact of infections and the potential benefits of targeted interventions. To ensure research translates into real-world improvements, the Foundation employs Social Impact Return on Investment (SROI) modelling, providing real-time updates and biannual reports to stakeholders. This presentation will highlight how evidence-based research, integrated into updated healthcare standards and education, can drive meaningful change. Participants will also review impact assessment tools, including predictive modelling and structured reporting, to track research effectiveness and improve infection prevention strategies

Angus Dixon Daylight Foundation; Australia

Part Three: Can OpenAI Help Improve the Quality of Information and thus Care Provided to Patients in the Perinatal Period

This session aims to explore the marked variation in information shared with patients with regards to their health and health care options. This review specifically focuses on information shared in the perinatal period, regarding options for birth and Induction of Labour. Patient Information Pamphlets (PIPs) from Local Health Districts across NSW were analysed for information provided, showing significant disparities reflective of post code dependent access to information. The NSW and UK Birth Trauma inquiries have specifically marked a failure of appropriate provision of information as an issue which requires immediate attention. We compare individual NSW PIPs to state-wide examples such as that of QLD Health, and a comprehensive example formulated by the use of Open AI. The results of this review highlight the importance of equal and fair access to patient information regardless of location, and the use of Open AI to improve the provision of health information.

Aneeqa Patankar Western Sydney Local Health District; Australia

Part Four: Putting patients first - specialist nurse-led models to avoid emergency department presentation

The Medical Oncology Rapid Access Clinic Expansion (RACE) project at Sunshine Coast University Hospital was developed to reduce unnecessary Emergency Department (ED) presentations by medical oncology patients. Delivered as part of Queensland Health’s Patient Flow Intensive Program, RACE is a nurse-led service offering timely, safe, and appropriate care for people with cancer who are experiencing symptoms, treatment side effects, or clinical deterioration—outside of the ED setting.

This session will provide an overview of the RACE service’s establishment, implementation, and daily operations, including adaptations made to meet patient needs and insights into future directions for the model.

Cassandra Mazza Sunshine Coast University Hospital; Australia