Assessment platform active
RELEASE 2026.04 Nursing · Paramedicine · Medical Laboratory Science Enterprise tier
The assessment intelligence layer of EMSync

Clinical competence, measured against regulatory standards.

Learn+ is the competency-mapped clinical assessment and learning platform within EMSync. 42+ modules across nursing, paramedicine, and laboratory science — assessed by four AI engines writing to a single psychometric ledger that powers defensible accreditation submissions.

See the assessment engines
HCPC NMC JRCALC NREMT AHPRA CAA 7-yr ledger
Active disciplines
Paramedicine · EMSHCPC · JRCALC · NREMT · 25 modules Nursing · MidwiferyNMC · AHPRA · 15 modules Medical Laboratory ScienceLab competency · live · 2 modules PharmacyQ4 2026
Section 01 · Platform architecture

A clinical curriculum, instrumented by an assessment intelligence layer.

42+ accredited modules across three live disciplines — and four assessment engines that run across all of them.

Layer 01 · Curriculum body

42+ accredited modules across three live disciplines.

Every module is competency-mapped to the relevant regulatory framework and instrumented by all four assessment engines. Programmes select tier by institutional licence.

Paramedicine · EMS25 modules
Airway managementCardiac managementECG interpretationPharmacologyTraumaPaediatricsCritical careNICU & neonatalToxicologyMedical imagingMCI managementHEMS & aeromedicalDesert retrievalCBRNTECCProfessionalism
Nursing15 modules
Foundations of nursingHealth assessmentPharmacologyClinical skillsAdult healthMental healthCritical careMaternity & midwiferyPaediatric nursingCommunity healthPeri-operativeLeadershipEvidence-based practiceSurgical essentialsHealth promotion
Medical Laboratory Science2 modules
Haematology & blood sciencesMicrobiology & infection control
Layer 02 · Assessment intelligence

Four engines run across every module, on every cohort.

Each engine produces structured, framework-anchored assessment evidence. All four write to the same audit-traceable competency ledger.

D
DiagnomiQ™ · NurseReason™ (Nursing)
Cited diagnostic reasoning — multi-step cases assessed on the path of reasoning, not final-answer correctness.
Reasoning · 38+ cases · all disciplines
O
Intelli-OSCE™
Structured procedural assessment with examiner-grade rubrics across five weighted domains.
Procedural · 12-station circuits · EMS & Nursing
R
Intelli-Radio™
ATMIST/METHANE handover simulation with fluency analysis and voice discipline scoring.
Communication · 20+ scenarios · EMS
W
Intelli-Ward™
Full nursing shift simulator with real-time deterioration events, medication safety, and SBAR escalation.
Ward simulation · Nursing only
Section 02 · Engine specifications

Four engines. All four write to the same psychometric ledger.

DiagnomiQ and NurseReason are discipline-specific interfaces on the same reasoning engine.

ENGINE 01 / REASONING
D
DiagnomiQ™
Cited diagnostic reasoning

Multi-step clinical cases assessed on the path of reasoning, not final-answer correctness. Differential generation, premature-closure detection, and red-flag escalation timing — all captured with framework-anchored citations and per-claim confidence intervals. Nursing cohorts access this engine as NurseReason™.

Case bank38+ validated
Specialties14+ domains
InferenceCited · per-step
DisciplinesEMS · Nursing · all
ENGINE 02 / PROCEDURAL
O
Intelli-OSCE™
Structured procedural assessment

Software-rendered OSCE stations with examiner-grade rubrics. Every station produces domain-level scoring across structure, completeness, accuracy, composure, and prioritisation — with automatic difficulty calibration and examiner-override traceability.

Format12-station circuits
Scoring domains5 weighted axes
Concordance94% with examiners
DisciplinesEMS · Nursing
ENGINE 03 / COMMUNICATION
R
Intelli-Radio™
Handover & communication

High-fidelity prehospital radio simulation. Structured handovers (ATMIST, METHANE), clinical prioritisation, and stress-resilient voice discipline assessed with fluency analysis — hesitation density, correction frequency, and time discipline.

Scenarios20+ live timed
Pass threshold12/20 competent
Fluency analysisHesitation · correction
DisciplinesEMS primary
ENGINE 04 / WARD SIM
W
Intelli-Ward™
Real-time ward shift simulator

Full nursing shift simulation: manage a patient assignment, respond to real-time deterioration events, administer medications with safety checks, file SBAR escalations, and document under time pressure — all scored across five safety domains.

Scenario types6 ward archetypes
Scoring domains5 (safety · meds · docs)
AI eventsReal-time deterioration
DisciplinesNursing exclusive
Section 03 · The inference engine

EMI is not a chatbot. It is a clinically grounded, cited inference engine.

Every claim EMI makes carries a confidence interval, a framework anchor, and a primary-source citation.

EMI · TRACE INSPECTOR
v3.2.1
// inference trace · diagnomiq case 2417
case_id: "acute_chest_pain_inf_stemi",
learner: "L-09823",
framework: "HCPC-SoP-2024",
// per-competency confidence
HCPC 14.3ECG Interpretation
0.94
JRCALC 4.2Pharmacology
0.89
HCPC 8.1Escalation & Handover
0.92
HCPC 7.2Communication
0.71
remediation_required: 1 // 7.2 below threshold
audit_signature: "sha256:b1c4…d7e2"

The same inference your examiners would write — at machine speed.

When a learner closes a case, EMI produces a structured rationale mapped to your competency framework. Every score is decomposable. Every conclusion is challengeable. Programmes can replay the exact same trace weeks later.

  • Cited reasoningper inference
  • Confidence intervals0.0 – 1.0
  • Framework anchorper claim
  • Examiner overridelogged + signed
  • Reproducible traceindefinite
Section 04 · Psychometrics pipeline

From learner action to publishable evidence.

Every assessment produces structured psychometric output ready for governance dashboards and regulator submissions.

STAGE 01CAPTURE
Assessment capture

DiagnomiQ, Intelli-OSCE, and Intelli-Radio each produce structured per-domain scoring with timestamped action logs and learner-action audit trails.

Domain-level scoring
Action timing & sequence
Examiner override capture
STAGE 02COMPUTE
Psychometric compute

The integrity engine produces standardised outputs: reliability coefficients, discrimination, difficulty, and borderline regression — per item, per station, per cohort.

Cronbach's α
Discrimination index
Borderline regression cut-score
STAGE 03SURFACE
Defensibility & research

Outputs surface in governance dashboards, regulator submission packs, and a research-ready dataset gated by readiness state.

Governance dashboard
Regulator-ready exports
Research dataset gating
Output
Reference range
Sample (Cohort 26·A)
Used for
Cronbach's αReliability · per station
≥ 0.70
0.83
Internal consistency required for defensible high-stakes decisions.
Discrimination indexPer-item differentiation
≥ 0.20
0.34
Item's ability to separate higher- from lower-performing learners.
Difficulty indexMean / max per stage
0.30 – 0.80
0.62
Cohort-level difficulty calibration; detects drift across iterations.
Borderline regressionPass-mark methodology
Per-cohort
61.4%
Defensible pass-mark derived from examiner judgement.
Examiner concordanceCohen's κ · override rate
κ ≥ 0.61
0.71
Agreement between EMI inference and human examiner: substantial.
Section 05 · Governance handoff

Learn+ writes directly to your competency dashboard.

No exports. No CSV reconciliation. Every assessment lands in EMSync governance within seconds — already mapped, already cited.

Cohort 2026·A · Year 3 Paramedicine · Live attainment
184 LEARNERS · UPDATED 14:32
Competency
Attainment
%
Source engine
Status
ECG interpretation
HCPC 14.3
94%
DiagnomiQ · 412 cases
ATTAINED
Acute pharmacology
JRCALC 4.2
89%
DiagnomiQ · 287 cases
ATTAINED
Escalation & handover
HCPC 8.1
92%
Intelli-Radio · 1,104 trans.
ATTAINED
Communication & consent
HCPC 7.2
71%
Intelli-OSCE · 12 stations
REMEDIATION
Field protocol adherence
JRCALC 2024
86%
Intelli-OSCE · field track
ATTAINED
42+
Accredited clinical modules
94%
Examiner concordance with EMI
7yr
Immutable assessment ledger
3
Disciplines in production
Concordance reported as raw agreement; chance-corrected κ = 0.71 (substantial) — see psychometrics section for full table.
Section 06 · Deployment evidence

Findings from production deployment.

From programme leadership, examiner workflow, and accreditation review.

Pilot finding · Programme leadership
"Eleven competency spreadsheets were replaced with a single live attainment map. Preparing the annual regulator submission required days rather than weeks of reconciliation work."
Programme leadership
HCT SHARJAH DEPLOYMENT · 2025–26
Pilot finding · Examiner workflow
"Examiners review EMI inferences with full override traceability. The rubric is present before the session begins — not reconstructed after. Override rate sits at approximately 6%."
EMS teaching faculty
PRODUCTION COHORT · EMS TEACHING FACULTY
Pilot finding · Learner appeal
"When a learner appeals a borderline result, the inference trace is replayed and the framework anchor is demonstrated. The nature of the conversation changes immediately."
Academic programme lead
HCT SHARJAH DEPLOYMENT · 2025–26
Pilot finding · Procurement
"Data residency and audit access were addressed directly in the pilot documentation. Institutional agreement was reached within eight weeks of the initial scoping session."
Institutional procurement lead
HCT SHARJAH DEPLOYMENT · 2025–26
Begin · Institutional engagement

See Learn+ assess your cohort.

We bring three of your existing OSCE stations or pre-hospital scenarios into Learn+, run them with a sample cohort, and deliver a psychometric report you can hand to your accreditor. No procurement commitment.

Download solution brief (PDF)
Engagement modelPilot · 8 weeks
SetupConcierge · zero-IT
Data residencyEU · UAE · UK · SA
ComplianceGDPR · UAE PDPL · HIPAA-aligned
Procurement formatFTS · G-Cloud