Opportunity
AI-driven clinical decision support tools like the Ainsoff Deterioration Index (ADI) have the potential to improve patient outcomes, but robust evaluation frameworks are lacking. This project quantifies ADI’s clinical impact and ensures safe adoption, supporting evidence-based AI across Australian healthcare.
This project will contribute to silent and clinical use trials of ADI at Blacktown Mount Druitt Hospital (BMDH) in Western Sydney Local Health District (WSLHD), assessing its effectiveness in detecting and preventing patient deterioration. The research will measure diagnostic accuracy, impact on clinical decision-making, and quality and safety outcomes.
By funding a Research Delivery Lead, this project secures strategic leadership while sustaining strong industry partnerships. It positions USYD and DHCRC as national leaders in AI evaluation, ensuring that AI-enabled clinical decision support systems deliver measurable benefits.
Project Objective
- Evaluate ADI’s clinical impact – Conduct silent trial, and if successful, a clinical use trial at WSLHD to assess ADI’s effectiveness, safety, and role in clinical decision-making.
- Sustain partnerships – Maintain strong collaborations with Beamtree and WSLHD to drive AI governance and strategic adoption in healthcare.
- Embed AI evaluation research at USYD – Position USYD and DHCRC as national leaders in AI evaluation towards future internships and funding.