Make nursing judgement visible
Turn patient data, evidence, reflection and ethical AI oversight into wiser nursing practice — first in a safe simulation environment, then through governed local implementation.
Assigned simulations
Each case is fully synthetic. Observed data, system signal and your interpretation stay separate throughout.
- Acute careIntermediateSyntheticEvolving deterioration on a medical ward
A synthetic adult inpatient shows drifting observations over eight hours. Practise trend recognition, uncertainty, and structured escalation.
- OncologyAdvancedSyntheticNew symptoms during systemic anticancer therapy
A synthetic day-unit attendance where a person reports new symptoms. Practise structured symptom assessment and supportive communication.
- Community healthIntermediateSyntheticWorsening self-management barriers at home
A synthetic home visit where social and literacy barriers, not clinical change, are driving the presentation. Practise SDOH-aware assessment and continuity documentation.
Operating boundary
- Learning signals are transparent, contestable and inspectable.
- No diagnosis, prescribing, dosing, ordering or autonomous triage.
- Every claim carries a source, a date, an owner and a review state.
Your progress
Updates requiring review
- Under reviewWhat belongs in a structured symptom assessment during cancer therapy?
Owner: Clinical Nurse Specialist, Oncology · Next review 2026-08-01
- Under reviewWhat improves usability of written care plans?
Owner: Community Nursing Lead · Next review 2026-04-11
- Open Evidence Library →
Notifications
- Action3 reasoning records awaiting rubric feedback
Acute care cohort B
- ActionSymptom assessment evidence card moved to Under review
Owner: Oncology CNS
- UpdateCommunity health scenario debrief submitted
2 hours ago
Registry status
- Minimising language prompt (oncology simulation)Pending approval
- Terminology service connector (LOINC / SNOMED CT)Draft
- Deterioration risk model (external)Withdrawn