What is the issue for NSW?
When it comes to treatment for acute stroke, decision-making is complex and time-pressured. There are a number of variables involved in the decision-making process. The development of comprehensive predictive models (based on individual pathophysiology) is critical for guiding clinical practice and for providing realistic expectations to patients. However, there are currently no such predictive models for the NSW patient population.
By focusing this research within the NSW patient population, the project tailors its efforts to directly impact the healthcare landscape in NSW. This localised approach can lead to more effective and relevant solutions, ultimately benefiting both patients and healthcare providers, and contributing to the overall advancement of stroke care in NSW.
What does the research aim to do and how?
The aim of this project is to use AI to develop robust decision-making tools to assist clinicians. These tools will assist with predicting optimal blood pressure and outcomes, and recommending treatment at a personalised level in acute stroke as a part of routine clinical practice. The tools will be developed in a large international study cohort with participants from a wide variety of world regions and validated using a real-world Telestroke service database in NSW. The study will adopt a user-centred, mixed-method approach with an emphasis on co-creation to ensure the tools are suitable for clinicians, nursing staff, patients and caregivers as well as clinical practice.