EMSync Learn+

Initialising assessment platform

Assessment platform active
RELEASE 2026.04 Nursing · Paramedicine · Allied Health 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. 40+ modules across nursing and paramedicine — assessed by four AI engines writing to a single psychometric ledger that powers defensible accreditation submissions.

CoBaTrICE NMC JRCALC NREMT AHPRA GMC 7-yr ledger
Active disciplines
Paramedicine · EMSJRCALC · NREMT · 25 modules Nursing · MidwiferyNMC · CoBaTrICE · 15 modules Allied HealthQ3 2026 PharmacyQ4 2026
Section 01 · Platform architecture

A clinical curriculum, instrumented by an assessment intelligence layer.

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

Layer 01 · Curriculum body

40+ accredited modules across two 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 practice
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: "CoBaTrICE-2024",
// per-competency confidence
CoBaTrICE 2.4ECG Interpretation
0.94
CoBaTrICE 2.7Pharmacology
0.89
CoBaTrICE 4.1Escalation & Handover
0.92
CoBaTrICE 5.3Communication
0.71
remediation_required: 1 // 5.3 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
CoBaTrICE 2.4
94%
DiagnomiQ · 412 cases
ATTAINED
Acute pharmacology
CoBaTrICE 2.7
89%
DiagnomiQ · 287 cases
ATTAINED
Escalation & handover
CoBaTrICE 4.1
92%
Intelli-Radio · 1,104 trans.
ATTAINED
Communication & consent
CoBaTrICE 5.3
71%
Intelli-OSCE · 12 stations
REMEDIATION
Field protocol adherence
JRCALC 2024
86%
Intelli-OSCE · field track
ATTAINED
40+
Accredited clinical modules
94%
Examiner concordance with EMI
7yr
Immutable assessment ledger
184
Programmes in production
Section 06 · Field evidence

What programme directors say about defensible assessment.

From regulator submissions, examiner debriefs, and accreditation reviews.

Programme Director · Paramedicine
"The trace is the artefact. When a learner appeals a fail, we don't argue — we replay the inference and show the framework anchor. The conversation changes."
Dr. Hana El-Sayed
ACADEMIC PROGRAMME CHAIR · PARAMEDICINE
Accreditation Lead · College
"We replaced eleven competency spreadsheets with a single live attainment map. Our last GMC inspection took two days instead of six weeks."
Prof. Daniel Whitcomb
ACCREDITATION LEAD · CLINICAL COLLEGE
OSCE Lead · Instructor
"What we wanted was reasoning visibility, not another quiz engine. EMI gives us the rubric we'd write — before we write it. We override roughly 6% of inferences."
Ms. Sara Khouri
INSTRUCTOR LEAD · EMS TEACHING FACULTY
CIO · Health Education
"Procurement asked one question: where does the data live, and who can audit it. Learn+ answered it on slide three. We signed in eight weeks."
Marcus Reinholt
CIO · NATIONAL HEALTH EDUCATION BODY
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.

Engagement modelPilot · 8 weeks
SetupConcierge · zero-IT
Data residencyEU · UAE · UK · SA
ComplianceISO 27001 · GDPR
Procurement formatOJEU · G-Cloud