From initial study conception to operational downstream deployment, Keizer Protocol AI provides a standardized, data-first authoring environment.
Author directly against the international ICH M11 protocol standard to ensure regulatory readiness and consistency across all clinical programs.
Treat protocol components—study populations, endpoints, interventions, and schedules—as discrete, structured clinical content rather than unlinked prose.
Transform historical PDF and DOCX clinical protocols into fully editable, structured digital workspaces without starting from scratch.
Convert complex inclusion and exclusion language into computable, deterministic patient eligibility rules ready for downstream EDC and clinical systems.
Maintain end-to-end traceability across study designs, dependent sections, endpoints, and patient populations to catch structural discrepancies early.
Every design choice—whether a narrow lab threshold or a geographic restriction—alters the patient enrollment curve. Keizer Protocol AI integrates predictive analytics directly into the authoring workflow, enabling teams to evaluate operational feasibility before finalizing the protocol.
| FEATURE | HOW IT OPERATES | CLINICAL IMPACT |
|---|---|---|
|
Monte Carlo Simulation
|
Runs thousands of enrollment scenarios accounting for site startup, seasonality, and regional variability. | Replaces single-point guesswork with a data-driven probability distribution. |
|
Probability of Success (PoS)
|
Calculates the likelihood of hitting target milestones within projected budgets and timeframes. | Provides portfolio leadership with transparent enrollment risk assessments. |
|
P10 / P50 / P90 Forecasts
|
Automatically generates optimistic, median, and conservative trial completion timelines. | Prevents costly downstream amendments and timeline slips. |
|
Sensitivity Analysis
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Pinpoints the specific inclusion/exclusion criteria or assumptions that create trial bottlenecks. | Allows study teams to optimize eligibility criteria without compromising scientific validity. |
Transform static clinical ideas into structured, machine-computable trials through an end-to-end ICH M11 workflow. Align study logic, compile deterministic eligibility rules, and simulate enrollment before finalizing protocols.
Model your study population, core objectives, and interventions inside a structured, collaborative workspace.
Enforce universal compliance with ICH M11 templates and data models.
Digitize legacy files or new drafts into modular clinical content blocks.
Convert clinical inclusion and exclusion statements into unambiguous machine-computable logic.
Test operational feasibility, patient burden, and enrollment curves against real-world assumptions.
Finalize and deploy protocols backed by predictive evidence—not speculative assumptions.
Protocols function as modular, queryable clinical data from day one.
Bridges the gap between human medical writers and machine-driven clinical execution systems.
Identifies operational risks and enrollment barriers while the protocol is still being drafted.
Seamlessly exports to EDCs, CTMS, registries, and patient-matching engines with bidirectional traceability.
