PRIORITY AREA 1
EMBED – Create a learning healthcare system
Embed clinical trials and research as core to clinical practice by fostering a learning healthcare system, advancing value-based care, and building research literacy.
Case Study: Advancing Critical Care Research Through the NOICE Learning Health System
The Neurological Outcomes in Intensive Care (NOICE) registry demonstrates how a learning health system can drive meaningful improvement in critical care. Developed at Royal North Shore Hospital, the registry uses automated extraction of neurological, physiological and clinical data from the electronic health record, eliminating manual data entry while ensuring high‑quality, timely data with minimal clinician burden. The platform provides near real‑time insight into practice patterns and patient outcomes, creating a continuous feedback loop that supports monitoring,
benchmarking and rapid, data‑driven quality improvement. Automated patient identification, trial‑specific data capture and bedside clinical decision‑support prompts enable research activity to occur alongside routine care. This digitally enabled model transforms traditional registries into active learning health systems by aligning care delivery, research infrastructure and continuous improvement, accelerating evidence generation and improving outcomes for critically ill patients across NSLHD.
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NSLHD Research Strategy to 2030
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