Synthetic clinical education only

SimuPatient

Diagnostic reasoning simulation for hospital education teams, with approved cases, AI patient conversations, and consultant review workflows.

Onboard your institutionTry the public pilotSign in

How SimuPatient works

From educator-approved case to measurable learning

One governed loop connects case design, a case-grounded AI patient, evidence-linked formative scoring, and faculty review—across text or voice.

Open presentation view
  1. Step 1
    1Educator

    Approve the learning case

    Author or refine a synthetic case, teaching notes, and rubric before publication.

  2. Step 2
    2Programme admin

    Assign the experience

    Control access, create cohorts, and assign approved cases to the right learners.

  3. Step 3
    3Resident + AI patientCore experience

    Interview the AI patient

    Take a history, communicate, and request findings naturally by text or voice.

  4. Step 4
    4Formative AI

    Score the reasoning

    Assess diagnoses, differentials, safety priorities, management, and rubric actions against transcript evidence.

  5. Step 5
    5Faculty

    Review and improve

    Review evidence, adjust scores or feedback, improve rubrics, and release the learning outcome.

↺ Faculty findings improve the next case, rubric, and learning cycle

Approved case file

The same structured teaching source grounds the encounter and its assessment.

  • Case facts and patient profile
  • Negative findings and collateral history
  • Defined examinations and investigations
  • Educator-authored or educator-improved rubric

The simulation engine

One case-grounded AI patient

A responsive simulated patient that stays anchored to the approved case while the learner explores it naturally.

One encounter, two natural modes

Type, use voice notes, or speak hands-free without leaving the consultation or losing its transcript.

Grounded in the case

Responses use defined facts, negatives, findings, collateral content, and disclosure rules.

Reveals facts naturally

Relevant information appears when appropriately explored, rather than exposing the whole case upfront.

Unavailable means unavailable

When a requested result is not defined, the experience reports that boundary instead of intentionally inventing one.

One encounter, two natural modes

Text

Fast typed conversations with the complete encounter preserved for review.

Voice

Voice-note or hands-free conversation using the same case context and transcript.

Generative AI can still make errors. Case grounding, disclosure controls, traceability, and educator review are designed to reduce and detect them.

Programme focus

Choose the learning goals that matter

Institutions can combine goals for a bounded pilot or broader formative programme.

  • History taking

    Structured questioning, relevant information gathering, and recognition of gaps.

  • Diagnostic reasoning

    Core workflow

    Differentials, must-not-miss conditions, likely diagnosis, and immediate management.

  • Clinical communication

    Clear, empathetic, adaptive communication with patients and defined collateral informants.

  • Case-based learning

    Approved synthetic scenarios for independent practice, cohorts, or facilitated teaching.

  • Faculty review and feedback

    Transcript evidence, rubric calibration, score review, overrides, and feedback release.

  • Other formative education goal

    A tailored formative objective agreed during institutional discovery and readiness review.

  • Synthetic clinical education only
  • No identifiable real-patient data
  • Educator-controlled cases and rubrics
  • Case-grounded AI patient
  • Evidence-linked, traceable AI output
  • Isolated institutional access
Discuss an institutional pilotTry the public pilot

For hospitals, schools, and clinics

From first conversation to a governed launch

Choose a controlled pilot or institution-wide onboarding. SimuPatient provisions the secure organisation workspace; your invited team then configures its educational programme.

See the full onboarding guide
  1. 1

    Request

    Tell us about the organisation, intended learners, and training goals.

  2. 2

    Review

    Agree scope, success measures, and governance readiness.

  3. 3

    Set up

    We provision the tenant; your admin adds educators, residents, cohorts, and assignments.

  4. 4

    Launch

    Approve cases, brief participants, test the workflow, and run the agreed programme.

Already using SimuPatient?

Enter the workspace for your active organisation and role.

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