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 span the following focus areas:

• AI-assisted interpretation of thromboelastometry (ROTEM) trace

• Digital pre-hospital documentation and workflow optimisation​

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The Clinical Problem

Emergency, prehospital, and critical care environments are characterised by high acuity, time pressure, and cognitive overload. Clinicians are required to synthesise large volumes of clinical information rapidly while delivering time-critical interventions.

Despite increasing digitisation, clinical documentation and decision-support in these settings often remain fragmented, retrospective, or poorly aligned with real-world workflows. Important information may be captured late, across multiple systems, or in unstructured formats, limiting its value for real-time decision-making, audit, and quality improvement.

These challenges are particularly evident in areas such as prehospital care, massive transfusion, haemostasis management, and disaster or surge settings.

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The Innovation Opportunity

There is an opportunity for digital tools that better support clinicians at the point of care without increasing cognitive burden. Such tools must prioritise speed, simplicity, and clinical relevance, while enabling structured data capture and meaningful use of information during time-critical care.

JR Analytics explores approaches to clinical decision-support and workflow design that are clinician-informed, context-aware, and suitable for regulated healthcare environments. Innovation is approached cautiously and iteratively, with a strong focus on governance, evaluation, and real-world applicability.​

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Evidence, Validation, Ethics & Governance (In Progress)

JR Analytics’ digital health solutions are developed through a staged, evidence-informed approach that prioritises clinical safety, ethical design, and real-world applicability.

Evidence and validation activities include:

• Use of simulated and de-identified clinical datasets for early development and testing

• Clinician co-design informed by frontline practice in emergency, pre-hospital, and critical care settings

• Conference abstracts and research outputs in preparation or under submission

• Pilot and feasibility studies planned in collaboration with clinical services and academic partners

All research and collaborative activities are conducted in accordance with applicable ethics and governance requirements. Where required, projects operate under institutional Human Research Ethics Committee (HREC) approvals or equivalent governance frameworks and align with relevant national and international guidance for clinical safety, data governance, and responsible digital health innovation.