Initialising Learn+

ISSUE 014 / EDU.LEARN-PLUS RELEASE 2026.04
COMPETENCY-MAPPED CLINICAL ASSESSMENT & LEARNING PLATFORM ENTERPRISE TIER
The assessment intelligence layer of EMSync

Clinical competence,
measured against regulatory-defined
standards of practice.

Learn+ is the competency-mapped clinical assessment and learning platform within EMSync. A 40+ module clinical curriculum is instrumented by four assessment engines — diagnostic reasoning, procedural OSCE, prehospital communication, and nursing ward simulation — all writing to a single psychometric ledger that powers competency attainment dashboards, defensible assessment decisions, and audit-ready regulator submissions.

Frameworks mapped CoBaTrICE · NMC · GMC · NREMT
Assessment integrity Cronbach α · discrimination · borderline regression
Audit retention 7-year immutable ledger
Disciplines Single platform · per-discipline framework alignment
Paramedicine · EMS JRCALC · NREMT · 25 modules Nursing · Midwifery NMC · CoBaTrICE · 15 modules Allied Health Q3 2026 Pharmacy Q4 2026
In production at
Higher Colleges of Technology University University University University
Section 01 · Platform architecture

A clinical curriculum, instrumented by an assessment intelligence layer.

Learn+ is two layers in one system: the curriculum body — 40+ accredited modules across two live disciplines — and the assessment intelligence layer that runs across them and writes to a unified psychometric ledger.

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 three assessment engines. Programmes select tier by institutional licence — Foundation, Plus+, or Enterprise.

Paramedicine · EMS 25 modules
Airway management Cardiac management ECG interpretation Pharmacology Trauma Paediatrics Obstetrics Critical care NICU & neonatal Toxicology Medical imaging Community paramedicine MCI management Disaster management Rescue & extrication Fire awareness HEMS & aeromedical Desert retrieval Surf rescue Structural collapse CBRN TECC Professionalism Lifting & carrying + 1 more
Nursing 15 modules
Foundations of nursing Health assessment Pharmacology Clinical skills Adult health Mental health Critical care Maternity & midwifery Paediatric nursing Community health Peri-operative Leadership Evidence-based practice Informatics Capstone project
Coming · Q3–Q4 2026 In development
Allied Health · Laboratory Sciences Allied Health · Medical Imaging Allied Health · Rehabilitation Sciences Pharmacy · Dispensing & Compounding Skills
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 — there is no module without measurement, no measurement without citation.

D
DiagnomiQ™ · NurseReason™ (Nursing)
Cited diagnostic reasoning. Multi-step clinical cases assessed on the path of reasoning — not final-answer correctness. Discipline-specific interfaces per cohort.
Reasoning · 38+ validated cases · all disciplines
O
Intelli-OSCE™
Structured procedural assessment. Software-rendered OSCE stations with examiner-grade rubrics across five weighted domains (structure, completeness, accuracy, composure, prioritisation).
Procedural · 12-station circuits · EMS & Nursing
R
Intelli-Radio™
Handover & communication assessment. ATMIST/METHANE structured handovers with fluency analysis and stress-resilient voice discipline scoring.
Communication · 20+ live timed scenarios · EMS
W
Intelli-Ward™
Real-time nursing ward shift simulator. Manage a full patient assignment, respond to deterioration events, administer medications, file SBAR escalations, and document under time pressure — all scored and psychometrically analysed.
Ward simulation · Nursing · all psychometrics recorded
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. Intelli-Ward is nursing-only.

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™ — the same engine, discipline-specific case library and interface.

Case bank38+ validated
Specialties14+ clinical domains
Inference outputCited · 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 (structure, completeness, accuracy, composure, prioritisation) with automatic station-difficulty calibration and examiner-override traceability.

Format12-station circuits
Scoring domains5 weighted axes
Examiner concordance94% (override 6%)
DisciplinesEMS · Nursing
ENGINE 03 / COMMUNICATION
R
Intelli-Radio™
Handover & communication assessment

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

Scenario library20+ live timed
Pass threshold12/20 (competent)
Fluency analysisHesitation · correction
DisciplinesEMS (primary)
ENGINE 04 / WARD SIM
W
Intelli-Ward™
Real-time ward shift simulator

A full nursing shift simulation: manage a patient assignment, respond to deterioration events in real time, administer medications with safety checks, file SBAR escalations, and document under time pressure. All actions are scored across patient safety, prioritisation, medication safety, escalation, and documentation 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 about a learner's reasoning carries a confidence interval, a framework anchor, and a primary-source citation. Examiners can challenge any inference; the override is logged and signed.

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 & Consent
0.71
// flags
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 that maps observed actions to your competency framework. Every score is decomposable. Every conclusion is challengeable. Programmes can replay the exact same trace, weeks later, on any case in the archive.

  • 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. Programme directors get defensibility; institutional research gets dataset-ready inputs gated by readiness state.

STAGE 01 CAPTURE
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 02 COMPUTE
Psychometric compute

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

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

Outputs surface in three places: programme 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 coefficient · per station
≥ 0.70
0.83
Internal consistency of station — required for defensible high-stakes decisions.
Discrimination indexPer-item differentiation
≥ 0.20
0.34
Item's ability to separate higher- from lower-performing learners; flags weak items.
Difficulty indexMean / max per stage
0.30 – 0.80
0.62
Cohort-level difficulty calibration; detects drift across iterations.
Borderline regression cut-scorePass-mark methodology
Per-cohort
61.4%
Defensible pass-mark derived from examiner judgement, not arbitrary percentage.
Examiner concordanceCohen's κ · override rate
κ ≥ 0.61
0.71
Agreement between EMI inference and human examiner judgement; substantial.
Draft

Insufficient cohort · quarantined

Datasets below sample threshold or with incomplete framework mapping remain quarantined. No research export, no comparative inference.

Analysis-Ready

Cohort-level analytics permitted

Reliability coefficients above threshold, complete framework mapping, sample size sufficient. Internal cohort comparison and remediation analytics enabled.

Publication-Eligible

External research export permitted

Multi-cohort longitudinal validity, peer-reviewable dataset structure. Anonymised export to institutional research office or external journal pipeline.

Section 05 · Governance handoff

Learn+ writes directly to your competency dashboard.

No exports. No CSV reconciliation. Every Learn+ assessment lands in the EMSync governance platform within seconds — already mapped, already framework-cited, already auditable.

Cohort 2026·A · Year 3 Paramedicine · Live attainment
184 LEARNERS · UPDATED 14:32 GMT
Competency
Cohort 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.

Selected from regulator submissions, examiner debriefs, and accreditation reviews. Full case studies available under NDA.

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 PROGRAMME
Accreditation Lead · COLLEGE
"We replaced eleven separate 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
INSTRUCTOR · OSCE Lead
"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