Register for the scheduled live webinar or watch the recording at your own convenience.
You will need to create an account to access the webinars.
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Continuing Professional Development (CPD)
CICM
Lectures – Category 2A: Passive Group Learning - 1 point per hour
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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.
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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.
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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​
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.
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Evidence, Validation, Ethics & Governance
JR Analytics develops digital health solutions through a staged, evidence-informed approach prioritising clinical safety, ethical design, transparency, and real-world applicability.
Innovation progresses from early feasibility through to clinical validation, ensuring technologies — particularly AI-enabled approaches — are rigorously evaluated before implementation.
Current activities include:
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Use of simulated and de-identified datasets for model development and testing
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Clinician co-design informed by frontline practice
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Academic collaborations and research outputs in preparation
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Planned pilot and feasibility studies with clinical partners
All projects operate in accordance with applicable ethics and governance requirements, including HREC approval where required.
Development aligns with national and international standards for clinical safety, data governance, and responsible AI, with attention to bias, validation, interpretability, and appropriate use of decision-support tools.