2024 Innovation Booster Grant Recipient
We are proud to announce that Healthigence™ is a recipient of the 2024 Innovation Booster Grant (IBG). The IBG grant, part of the Department of Jobs, Tourism, Science and Innovation’s New Industries Fund, aims to help startups turn ideas into commercial reality. The highly-competitive process saw over 100+ submissions, with only 38 successful IBG recipients – a significant achievement! The core mission of Healthigence™ is to redefine the healthcare landscape by leveraging cutting-edge AI technology to deliver personalized, end-to-end solutions. The IBG’s financial boost enables us to access essential professional skills, services, and knowledge, advancing our “Medsafe-AI” project, specifically in optimizing medication safety and accuracy in NICUs.
New Funding Backs Healthigence–SCGH AI Sepsis Project
We are proud to announce that Healthigence™, in partnership with Sir Charles Gairdner Hospital, has been awarded funding through the Innovative Solutions – Digital Health program under the North Metropolitan Health Service. The grant will support a pioneering project on prediction of sepsis in the Emergency Department using AI. This research is led by Dr. Matthew Anstey, Intensive Care Specialist at SCGH, with Healthigence™ serving as co-investigators. The study aims to harness advanced AI models alongside existing hospital data sources to improve the early identification of patients at risk of sepsis — a leading cause of preventable mortality in emergency settings. By providing clinicians with faster and more precise risk predictions, the project is expected to enhance patient outcomes and reduce the burden of sepsis on the healthcare system.
Joint Research with SCGH Published in BMJ Health & Care Informatics
Healthigence™, in collaboration with Sir Charles Gairdner Hospital (SCGH), has published their pilot study research on AI-driven sepsis prediction in BMJ Health & Care Informatics. Sepsis remains one of the leading causes of hospital deaths worldwide, and early detection is critical to saving lives. Our study demonstrates how AI can identify early warning signs of sepsis, enabling clinicians to intervene sooner and improve patient outcomes.