For Healthcare Organizations
Reduce clinical errors before they reach the patient.
This simulation system reveals how nurses think under pressure — so you can fix unsafe decision-making early, shorten onboarding, and take the load off your preceptors.
6–8 wks
Faster new-grad ramp-up
↑ 42%
Sepsis recognition accuracy
↓ Preceptor load
Scenarios run asynchronously
Who this is for
- Chief Nursing Officers
- Directors of Nursing Education
- Clinical educators & preceptors
- Nurse residency / fellowship leaders
- Graduate medical education directors
01 / The problem
Skills checklists pass. Judgment fails.
Most nurse onboarding measures whether someone can do a task. It doesn't measure whether they know when to do it — under pressure, with an incomplete picture, while the phone rings.
Problem 01
Students freeze on real-time decisions
They know the textbook answer. Under pressure — with a crashing patient and a ringing phone — they don't act fast enough.
Problem 02
Errors happen in thinking, not skills
The failure is usually upstream: missed the sepsis criteria, anchored on the wrong diagnosis, escalated too late. You can't see that in a skills checklist.
Problem 03
Leaders have no visibility into reasoning
You see outcomes after the fact. You don't see where each nurse's decision-making breaks down — until it's on an M&M review.
02 / The solution
Put the thinking on the table — before the patient.
Nurses work through realistic patient scenarios. They order tests, pick interventions, and escalate — or don't. The patient evolves in real time based on their choices. Every decision is logged.
Real-time decisions
No multiple choice. They actually choose what to do next, and they have to do it fast.
Immediate consequences
Vitals move. Labs change. The patient deteriorates or stabilizes based on the choice.
Reasoning analytics
You see exactly where each learner's thinking breaks down — across sepsis, chest pain, airway, and more.
Shorter preceptor load
Scenarios run asynchronously. Preceptors coach on the patterns, not every patient.
See it in action
Room 7 · Mr. Tanaka, 72
Walks into the ED 80 minutes ago with sudden right-sided weakness and slurred speech. Wife says he was "completely normal at breakfast." Vitals: HR 96, BP 196/108, SpO₂ 97%, glucose 132, NIHSS 14. No anticoagulants, no recent surgery. The CT scanner is open right now. What do you do first?
Tap a decision to see the consequence. In the full product, the patient evolves in real time across 15–30 minute shifts.
A single step from the full stroke-activation scenario. In production, nurses run 4 patients concurrently across a 15–30 minute shift.
03 / Start here
Start with a 2–4 week pilot.
We'll configure a focused pilot around one high-stakes domain — and give you an institutional dashboard of reasoning patterns by the end of week 2.
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Small cohort
10–20 nurses. Works for a single unit, a residency cohort, or a cross-department pilot.
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Focus on high-risk scenarios
Sepsis, chest pain, airway, stroke, deterioration — pick one or two.
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Measurable outcome
An institutional report showing where reasoning breaks down, and how much it improved.
Training students instead of staff? Head over to For Schools & Students →
Educational analytics · optional
We'd like to log de-identified learning events (module viewed, time on section, quiz correct/incorrect) to improve the platform. No personal data, no patient identifiers, no external browsing.
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