Build Enrollment-Ready Protocols With AI-Driven Clinical Trial Feasibility Assessment
Stop discovering enrollment risks after protocols are finalized. Kitsa embeds clinical trial feasibility assessment directly into protocol planning, using AI to validate patient availability, eligibility impact, and site readiness early, so enrollment assumptions are realistic and defensible.
"Hemex is now writing Smarter Protocols with Kitsa's KScribe getting high-quality first draft in days! Protocol design has transformed from a static document to a collaborative workspace."
Franziska Stemmler, CEO, Hemex AG
How Clinical Trial Feasibility Assessment Impacts Trial Success?
Many trials struggle not because of weak science, but because feasibility is tested too late. Without a clinical trial feasibility assessment tied to protocol design, enrollment assumptions remain unvalidated, leading to under-enrollment, avoidable amendments, delayed timelines, and significant wasted trial spend.
Hidden Enrollment Risks in Clinical Trial Feasibility Assessment
Enrollment targets are defined without validating real-world patient availability
Eligibility criteria are finalized without quantifying their impact on screen failures
Historic enrollment and screen-fail data remain disconnected from protocol design
Site recruitment capacity is assumed rather than evaluated during feasibility
Feasibility insights emerge after protocols are locked and amendments become inevitable


Why Do Traditional Clinical Trial Feasibility Approaches Fall Short?
How Kitsa Improves Clinical Trial Feasibility Assessment with AI-Powered Precision?
Kitsa supports AI clinical trial protocol writing by applying secure, purpose-built AI for clinical trials to shorten drafting cycles and surface amendment risks earlier, while keeping experts in control and maintaining regulatory rigor.
How the Platform Works:
Enrollment modeling from real-world data
Validate protocol enrollment targets using actual patient availability, demographics, and historic enrollment benchmarks.
Eligibility impact analysis
Quantify how inclusion and exclusion criteria affect screen-fail rates and enrollment targets during protocol design.
Site readiness evaluation
Assess whether proposed sites can realistically meet enrollment targets based on past performance and population access.
Early feasibility-risk detection
Identify amendment and enrollment risks while protocol assumptions are still adjustable, not after approval.
Traceable, expert-reviewed workflows
Ensure feasibility inputs, decisions, and rationale are auditable, regulator-ready, and supported by human oversight.
Measurable Benefits of Clinical Trial Feasibility Assessment with Kitsa
Fewer enrollment-driven trial failures
Reduce screen failures
Reduced protocol amendments
Linked to feasibility gaps
Lower sunk costs
From underperforming studies
Faster trial startup
With realistic enrollment plans
Stronger alignment
Between feasibility and clinical trial documentation
Featured Blogs
Related Insights on AI in Clinical Trials

The Hidden Geography of Alzheimer's: Data-Driven Insights for Clinical Trial Site Selection
How geographic data improves trial site decisions.

Optimizing Clinical Trial Budget Management: Key Strategies
Smart approaches to managing trial budgets effectively.

7 Questions to Ask Before Choosing an AI Patient Screening Solution for Clinical Trial Recruitment
Critical considerations for AI screening selection.