Time & Task Analysis Tool
Automated protocol analysis that quantifies staff time burdens and institutional costs for clinical trial teams.
The Problem
Estimating the staff time and institutional cost of a clinical trial protocol is a manual, expert-dependent process that varies widely across sites. Research coordinators, regulatory staff, and budget analysts each interpret protocol complexity through different lenses, producing inconsistent projections that delay contract negotiations and misalign budgets. For academic medical centers and community research sites operating under resource constraints, this gap between actual and estimated effort has direct financial consequences. A reliable, repeatable estimation tool reduces that risk at the front end of every trial.
The Approach
The analysis tool accepts a clinical trial protocol as input and applies a structured, domain-specific knowledge base to identify the staff roles, task categories, and institutional obligations the protocol requires. The AI engine evaluates protocol language against established research operation frameworks to produce a time burden estimate by role and a corresponding cost projection. The tool applies a layered review process to improve estimate accuracy before output is surfaced to the user. This design targets the specific vocabulary and structure of clinical trial documents — including CTAs, CDAs, RAs, and DUAs — rather than treating protocols as generic text. The result is an analysis calibrated to research operations, not general document summarization.
What We Built
- Protocol ingestion with domain-specific parsing tuned to clinical trial document structure
- Staff role and task identification mapped to research operations categories
- Time burden estimation by role across protocol-defined activities
- Institutional cost projection derived from time estimates and configurable rate inputs
- Multi-layer AI review that refines output accuracy before delivery to the user
Status
In final testing