
Why FDA.gov Search Tools Need a Makeover
If you've spent any time searching clinical trial data on ClinicalTrials.gov, you already know the frustration. The information you need is often there — buried a few clicks and several free-text fields away from where you started looking.
Filters that don't match how researchers think
Standard filters cover the basics: phase, status, condition. But biostatisticians and clinical operations teams routinely need to search by inclusion and exclusion nuance, secondary endpoint design, or dosing schedules described only in prose within the protocol. None of that is filterable through the standard interface, which forces teams into manual document review just to answer a single question.
We hear the same complaint from every research team we talk to: the filters that exist don't match the questions being asked. So teams fall back to exporting spreadsheets and doing keyword searches by hand — slow, error-prone, and impossible to repeat consistently across a growing therapeutic landscape.
An interface built for compliance, not discovery
ClinicalTrials.gov was designed first as a public registry to satisfy disclosure requirements. That mission shows in the interface — dense tables, minimal visual hierarchy, and no way to save or revisit a complex query. It works for its original purpose, but it wasn't built for the kind of iterative, exploratory research that competitive analysis and protocol benchmarking demand.
The result is that valuable institutional knowledge — which searches worked, which studies were relevant, which findings mattered — gets lost between sessions instead of being captured and built upon.
What we changed
Clinformer keeps the same underlying public data but rebuilds the search experience around it: full-text search across entire study documents, filters built from metadata we extract directly from protocol language, and saved searches and folders so a query becomes a reusable asset instead of a one-off task.
It's a small shift in framing — search should serve the researcher, not just the registry — but it changes how quickly a team can move from a question to an answer.
