Clinical judgment is learned by doing. Every learner deserves a patient to talk to, a case that unfolds, and feedback on their reasoning, not just their answer.
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AI-driven clinical education for Canada and the United States
AI clinical simulation for health sciences education that teaches clinical judgment by doing: learners talk to virtual patients, work through unfolding cases, and get feedback on their reasoning. Workforce readiness, career prep, and voice simulation are built in, for 57 nursing and allied-health roles across 64 jurisdictions.
Built by a registered nurse and an AI engineer — the clinical judgment and the engine come from the same team.
Patient: It started this morning. My chest feels tight.
A personal AI study agent and exam-style banks for the learner's own profession and regulator.
Unfolding patient cases and voice OSCEs with an AI standardized patient, graded on the reasoning.
Workforce readiness drills, a verifiable credential, and voice mock interviews for the first job.
One engine. Every role in the division.
Clinical judgment is learned by doing. Every learner deserves a patient to talk to, a case that unfolds, and feedback on their reasoning, not just their answer.
Clinical simulation software
Everything nursing and allied health students need to study, practise clinical encounters out loud with virtual patients, prove they are ready for the workforce, and land the job, with the tools programs need to run it.
Personal study agents, visual notes, and exam prep stamped to the learner's profession and regulator.
One per role, with memory of strengths, gaps, learning style, and exam history.
Structured visual study notes in 11 formats, with evidence chips and blur-to-recall.
Styled after NCLEX, CPNRE, and REx-PN, with AI explanations and analogies.
Mastery tracking and confidence calibration that show readiness before exam day.
Why it works
Clinical judgment grows in practice, not in reading. Patient cases unfold in a working EHR and respond to every decision the learner makes.
Real encounters are spoken. Learners talk with an AI standardized patient in a voice OSCE, and get feedback on pacing, fluency, and composure.
Every answer is coached through the clinical-judgment steps and scored for clinical reasoning, cue recognition, and safety, not just right or wrong.
Each learner trains for their own role, with the local title, regulator, scope of practice, and licensure exam of their jurisdiction.
Spoken workforce drills and a timed capstone end in a verifiable credential, and the Interview Room prepares learners for the job that follows.
Role-specific entry points
NCLEX IT, Lumina AI, CareAide Prep, SimMedAi, and NOTCE AI-Tutor are each built for a single credential, and all run on the MyLMS AI engine behind Allied Health Sciences.
Experience the engine
Answer a sample question and watch the engine coach the reasoning: recognize cues, analyze, act. This is our proprietary algorithm, not a wrapper.
Clinical scenario
A 68-year-old client is admitted with new-onset shortness of breath. Vitals: HR 118 and irregular, BP 98/60, RR 24, SpO₂ 90% on room air. The client reports chest tightness and feels 'like my heart is racing.'
Illustrative sample for demonstration — not official exam content. The full, SME-reviewed item bank lives inside the products.
The difference
Anyone can wrap a chatbot. Owning the UI, API, and algorithms is what makes accuracy, customization, and trust possible.
Who we serve
Built B2B-first, with a direct route for every audience — from individual candidates to the institutions and partners that scale them.
In their words
“The clinical-judgment coaching is what set it apart — it explained the reasoning, not just the answer. I walked into the NGN actually understanding how to think through a case.”
FAQ
AI clinical simulation adds unscripted, evidence-based patient scenarios and voice OSCE stations that don't require a preceptor, a lab bay, or a placement seat. ngnsimulation's Allied Health Sciences platform covers 57 roles across 64 jurisdictions on one engine, so a division can grow enrollment and cohort throughput within its existing clinical-placement, preceptor, and lab-hour ceiling, rather than being capped by it.
We build the entire stack — the interface, the API, and the underlying algorithms — and map every product to real competency blueprints (NGN, CPNRE, HCA). That means accuracy, customization, and data residency we control directly, rather than a thin wrapper over a third-party model.
Yes. MyLMS AI, our proprietary learning engine, can be licensed division-wide and white-labeled for colleges, health authorities, and training providers, with program-level analytics, curriculum tailoring, and multi-tenant isolation per institution.
Our nursing products are grounded in Canadian and Alberta regulatory frameworks (e.g. CLHA, provincial HCA standards), while NCLEX IT serves the North American RN market. The engine generalizes to new jurisdictions and credentials.
We follow PIPEDA-aligned data practices with a Canadian-first approach to data handling. Full details live in our privacy policy.
Yes. Our tutors are designed to bridge prior experience to Canadian competency standards with plain-language, ESL-aware explanations — a strong fit for credential-recognition programs.
For programs and educators
Start with a pilot sized to one program, then extend it across the whole division when the results hold up.