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HumanTrue Sim

Test the study before you build it.

HumanTrue Sim tests whether a proposed study is coherent, reachable, and operationally plausible while the working system remains private.
Flattened demonstration using a synthetic cohort. The final frame distinguishes measured cost effects from parameters that need a different outcome or further review.

Two distinct questions

First, can it run? Then, how might it perform?

HumanTrue keeps deterministic design verification separate from probabilistic population and performance assumptions. The distinction makes every result easier to interpret and defend.

  1. Design feasibility

    Checks Schedule of Activities completeness, state reachability, end-of-study paths, concurrency, guards, and Biomedical Concept resolution. No recruitment or behavioral assumptions are needed.

  2. Population-conditioned performance

    Applies explicit distributions and assumptions to study enrollment, burden, capacity, discontinuation, cost, and completion behavior.

  3. Scenario comparison

    Changes one or more controlled inputs and compares effects without losing the baseline, provenance, or replay path.

HumanTrue Simulation Model (HTSM)

A working study model, not a scripted animation.

  1. 01

    Design integrity

    Tests timing, dependencies, logical reachability, and complete study paths.

  2. 02

    HTSM participant journeys

    Shows how synthetic participants move through study events, branches, and dispositions.

  3. 03

    Scenario evidence

    Compares controlled assumptions about population, burden, recruitment, cost, and completion.

  4. 04

    Reproducible results

    Retains the inputs, versions, assumptions, and replay evidence needed to defend each result.

Simulation evidence

See the study from structure through uncertainty.

These flattened views demonstrate the evidence produced by the model while the working simulator remains private.

  • Patient study journey

    Play, scrub, filter, and follow individual participants through protocol states and events.

  • Reachability & integrity

    Inspect the complete state graph, discontinuation branches, and End-of-Study termination.

  • Population & accrual

    Review cohort outcomes, recruitment curves, disposition, cost, and assumption sources.

  • Curated evidence views cover design feasibility, schedule, execution integrity, population, recruitment, disposition, cost, reports, and provenance.
  • Every simulated participant can be replayed from starting attributes through guards, transitions, and final disposition.
  • The evidence bundle makes the run reproducible rather than merely visually plausible.
Participant pathway simulation across screening, treatment, early termination, follow-up, and end of study
Participant pathwaysFollow study states, timing, branch conditions, and final disposition.
Simulated study outcomes and operational cost evidence
Outcomes and costConnect completion, recruitment, and cost to the same versioned assumptions.
Study cost sensitivity analysis showing measured cost effects and parameters with no cost effect in the selected model
Uncertainty and sensitivitySeparate measured cost drivers from assumptions that affect another outcome or still require review.

Start with one protocol

Find what your current process cannot see.

Request a Working Session