Cite as: Real Problem AI problem “Why can't a cancer patient tell which clinical trial they actually qualify for?”. Opportunity score 8.1 out of 10 (severity 9, AI feasibility 8, market signal 8, competition gap 7). Category HealthTech. Trend LLM. Source signal: ClinTrialFinder, 'Why Eligibility Isn't Enough' (Mar 2026); ClinicalTrials.gov usability critiques.. Canonical URL: https://www.realproblem.ai/archive/why-cant-a-cancer-patient-tell-which-clinical-trial-they-actually-qualify-for.
Why can't a cancer patient tell which clinical trial they actually qualify for?
ClinicalTrials.gov lists thousands of studies in dense jargon, and a sick patient cannot parse narrow inclusion and exclusion criteria to find the handful they could realistically enroll in.
Who has it: Patients and caregivers with serious or rare conditions searching for options.
Evidence
“Relevance and eligibility aren't enough.”
Quoted word for word from the public post linked below. Nobody submitted it to Real Problem AI.
ClinTrialFinder, 'Why Eligibility Isn't Enough' (Mar 2026); ClinicalTrials.gov usability critiques.Why it is archived
Swapped out in AI-tool-builder content refresh (2026-08-26): generic vertical problem replaced by a more current, builder-relevant one.
Scoring breakdown
Existing players
- ClinicalTrials.gov · Comprehensive but jargon-dense, brutal UX for patients
- Sponsor matching tools (Antidote, TrialJectory) · Sponsor-funded, biased to enrolling their own trials
- Oncology nurse navigators · Scarce, cannot scan the full registry
What they are missing
A patient-first agent that takes a structured history, translates eligibility criteria into plain language, ranks the trials the patient truly qualifies for by evidence and proximity, and drafts the questions to ask the coordinator.
Stack hint
#NEW8 · Canonical URL: https://www.realproblem.ai/archive/why-cant-a-cancer-patient-tell-which-clinical-trial-they-actually-qualify-for