The problem
Stroke assessment is high-pressure and highly contextual, but training content can struggle to recreate realistic patient behaviour and clinical setting.
Healthcare training
StrokeID
VR training for stroke and TIA assessment, helping learners practise recognition, triage and thrombolysis decisions with reconfigurable patient avatars.
- Healthcare training
- Patient avatars
- Scenario-based
Problem and solution
Assessment training needs realistic patients, not just information recall.
Stroke and TIA assessment depends on recognising signs, asking the right questions, interpreting patient responses and making time-sensitive decisions. Those skills are difficult to build from static teaching content alone.
StrokeID creates immersive acute-care scenarios where trainees interact with reconfigurable patient avatars in settings such as A&E and general wards. The simulation lets learners practise clinical conversations, observations and decision-making in a repeatable environment.
The product idea came from a practical training need: improve recognition and understanding of stroke and TIA, support acute assessment and triage, and give learners a safer place to practise thrombolysis-related decision-making.
The solution
VR scenarios combine clinical environments, patient history, monitors, avatar responses and case-based tasks.
How we worked
Requirements, case studies and refinements were shaped through stakeholder interviews, clinical-learning feedback and short development sprints.
Reconfigurable
Patient age, appearance, posture, limb movement and facial response can support different case scenarios.
Clinical setting
Scenarios include ward or A&E context, patient history, equipment and monitoring cues.
Group learning
The design allows for individual learning, remote participation and pre- or debriefing around the case.
What the simulation includes
Clinical cases that can be seen, questioned and discussed.
- Reconfigurable patient avatars with facial animation, limb movement and body pose for different presentations.
- Acute settings such as A&E and general ward environments, with equipment, monitors, phones and patient-history documents.
- A simple interaction interface for selecting clinical questions, actions and requests.
- Multiple case-study scripts, so the training can cover different assessment and triage decisions.
- A pre-brief and debrief space for individual or group learning around the scenario.
Trust signals
Designed around clinical education, not generic VR.
- Built from a structured proposal for stroke and TIA assessment training.
- Focused on recognition, acute assessment, triage and thrombolysis decision support.
- Designed to implement multiple case studies rather than a single fixed scene.
- Planned around requirements capture, user acceptance and usability evaluation.
- Developed through iterative sprints with feedback from the clinical learning team.
How we worked
Built around clinical learning feedback.
The project plan began with stakeholder interviews and requirements capture, then moved into simulation environment design, case implementation and testing. Development was organised around short sprints with feedback from the clinical learning team.
StrokeID shows how immersive software can move clinical teaching closer to real decision-making. The work is about designing believable patient interaction, useful scenario structure and training moments that clinicians can discuss after the headset comes off.