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Continuing Professional Development (CPD)
CICM
Lectures – Category 2A: Passive Group Learning - 1 point per hour
ANZCA
Lectures/presentations & webinars
Participants in the ANZCA and FPM CPD program may claim these webinars/seminars under the Knowledge and skills activity ‘Learning sessions’ at 1 credit per hour.
Clinical Innovation, Research & Collaboration at JR Analytics
At JR Analytics, we believe meaningful digital health innovation must be grounded in real-world clinical practice and developed through close collaboration with healthcare services, academic institutions, and industry partners. Our work focuses on identifying practical challenges in emergency, pre-hospital, and critical care settings and exploring digital approaches that support safer, more effective clinical decision-making.
JR Analytics is founded and led by a clinician with over two decades of experience in intensive care and retrieval medicine. Our innovation activities are informed by direct frontline practice, with a strong emphasis on clinical relevance, usability, governance, and alignment with established guidelines and real-world workflows.
Active Research Areas
Our current research and innovation activities focus on clinically grounded digital solutions in high-acuity environments, including:
- AI-assisted interpretation of thromboelastometry (ROTEM) traces to support haemostasis decision-making
- Digital pre-hospital documentation and workflow optimisation to improve structured data capture and continuity of care
- Early-stage development of predictive models using structured vital signs to explore anticipatory risk detection in emergency settings
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Development of sepsis-focused clinical digital twin frameworks using MIMIC ICU data to model patient trajectories, monitor treatment responses, and explore personalised decision-support opportunities in critical care
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Collaborative research in digital health, critical care informatics, and AI-enabled clinical workflow innovation
Our Innovation Focus
JR Analytics explores clinician-informed digital approaches that support decision-making at the point of care without increasing cognitive burden. Our work prioritises simplicity, speed, and clinical relevance, alongside structured data capture and responsible exploration of anticipatory insights. Innovation is undertaken iteratively, with strong emphasis on governance, evaluation, and alignment with regulated healthcare environments.