A clinical trial site selection engine, not a static site list.
KScout ingests protocol requirements, scores clinical research sites against site experience, investigator experience, past trial history, disease prevalence, and demographic data, explains every ranking dimension, and produces a defensible, protocol-fit shortlist.
- Protocol & I/E criteria
- Country strategy
- Enrollment assumptions
- Sponsor preferences
- Site experience
- Diversity & data quality
- Investigator & past trials
- Disease prevalence & demographics
- Weighted ranking
- Protocol-specific fit
- Composite score
- Recomputed live
- Score decomposition
- Dimension rationale
- Evidence traceability
- Named drivers
- Ranked site list
- Top candidates surfaced
- High-confidence picks
- Portfolio comparison
- Audit-ready rationale
- Shareable review output
- Decision trail
- Sponsor / ops alignment
Every shortlisted site is backed by the same scoring logic.
Hover any step or shortlist output to see how KScout connects protocol needs, site evidence, and ranked recommendations into one defensible decision path.
Site selection is the most expensive guess in clinical trials.
Sponsors send 400-question feasibility surveys to a list inherited from the last trial. Sites with capacity get missed. Sites without capacity say yes anyway. Three months and a non-trivial seven-figure spend later, 30% of activated sites enroll zero patients.
One score.
Six honest dimensions.
Every site KScout ranks gets a composite score on a 0–1 scale. The score is fully decomposable: every basis point traces to a named dimension, the underlying data, and the protocol-specific weighting your team can tune.
A shortlist that defends itself.
Every site on the list comes with the rationale and the underlying signals. Reviewers see the math; auditors see the trail.
The honest answer requires honest data.
KScout connects the data sources teams need for protocol-specific clinical trial site selection - including ICD-10 level disease prevalence data, demographic data, site and investigator experience, past trial history, geographic coverage, site capabilities, and custom disease-specific markers. Every shortlist is built from transparent, explainable signals rather than static assumptions.
We replaced a 6-month feasibility cycle with an 11-day shortlist - and out-enrolled the original plan by 38%.
A specialty sponsor running a competitive Phase III in adult-onset hereditary disease had a 32-site plan with three-year enrollment. KScout re-scored the candidate pool against the protocol, surfaced 14 sites the original list missed (mostly in the Southeast US and the Nordics), and projected a 27-month complete-enrollment scenario. Twenty months later, the trial is running 8% ahead of the new plan.
Decisions you can defend in a regulatory inspection.
Trial-start-up decisions get audited. KScout is built so the audit goes well - every score traces to evidence, every model version is stamped, every shortlist is reproducible.
Every score decomposes into named dimensions and the underlying records. If the model can't justify it, it doesn't ship it.
Demographic parity and access metrics are tracked across every shortlist, with drift alerts when a model update materially shifts representation.
Your EDC archives, sponsor library, and protocol are processed in your tenant. Cross-customer learning is opt-in and aggregated.
Every shortlist is stamped with the model version, the data freshness, and the protocol-specific weights - reproducible six months later.
Questions, answered.
Bring smarter site selection forward.
See how KScout helps teams identify, compare, and prioritize clinical trial sites with connected operational and geographic intelligence.
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