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. 100+ 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 HPCSA AHPRA CAA 7-yr immutable ledger
Active disciplines
Paramedicine · EMSHCPC · JRCALC · NREMT · 38 modules Nursing · MidwiferyNMC · AHPRA · 35 modules Medical Laboratory ScienceLab competency · live · 37 modules PharmacyQ4 2026
For learners
Every score explained, every step cited.

Learners see the reasoning behind each result, mapped to the standard they will be registered against — not a number and a pass mark.

For faculty & examiners
The rubric exists before the station opens.

Examiner-grade scoring across every engine, with override captured and signed. Marking load drops; defensibility rises.

For deans & accreditation
A live attainment map, regulator-ready on demand.

Cohort competence against HCPC, NMC, JRCALC and AHPRA in one ledger — with the psychometrics to stand behind it.

Section 01 · Platform architecture

A clinical curriculum, instrumented by an assessment intelligence layer.

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

Layer 01 · Curriculum body

100+ 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 · EMS38 modules
Nursing35 modules
Medical Laboratory Science37 modules
Layer 02 · Assessment intelligence

Four engines run across every module, on every cohort.

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

D
DiagnomiQ
O
OSCE
R
Radio
W
Ward
Paramedicine38 modules
Nursing35 modules · as NurseReason
Medical Laboratory Science37 modules
Live across the discipline Selected modules Not applicable
Engine specifications
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
Attainment threshold ≥ 80% · below threshold triggers remediation plan automatically Ledger entry signed SHA-256 · retained 7 years
100+
Accredited clinical modules
κ 0.71
Examiner concordance · substantial
7yr
Immutable assessment ledger
3
Disciplines in production
Cohen's κ chance-corrected; raw examiner agreement 94% — full psychometric table in Section 04.
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%."
Senior lecturer, Paramedicine
PRODUCTION COHORT 2026·A · OSCE CIRCUIT
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."
Assessment & appeals chair
ACADEMIC BOARD · APPEALS REVIEW 2026
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
CONTRACT & DATA-RESIDENCY REVIEW · 2025
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