Opportunity BasketClinical Data Brokerage & Curation Service
A specialized firm that negotiates direct data-sharing agreements with hospital systems, EHR vendors, and research institutions, then curates, validates, and delivers pre-packaged, de-identified patient cohorts (by condition, demographics, outcomes) to researchers on-demand. Acts as the trusted intermediary between data holders and researchers, handling all compliance, legal, and technical integration work upfront so researchers receive plug-and-play datasets in 2–4 weeks instead of 6–12 months.
44 weeks • 70% confidence
Value Proposition
Eliminates 70% of data acquisition time by pre-negotiating access with major health systems and vendors; researchers get validated, standardized datasets immediately instead of months of legal/technical haggling. Dramatically reduces study timelines and allows teams to run multiple validation cohorts in parallel. Compliance and de-identification are baked in, reducing researcher liability and IRB friction.
Target Audience
Academic medical centers, biotech/pharma R&D teams, clinical research organizations (CROs), and health tech startups conducting validation studies who need 500–50,000 patient records with specific phenotypes.
Key Features
- Pre-negotiated master data-sharing agreements with 15–25 major health systems covering >50M patient records
- Curated cohort library (diabetes, heart failure, oncology, rare disease, etc.) with metadata on patient counts, outcomes, and data freshness
- Standardized data delivery in FHIR or researcher-specified formats with automated validation reports
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Researchers cannot access real patient data for medical studies due to fragmentation and access barriersMedical researchers struggle to find and access consolidated, validated patient datasets needed for clinical research and validation. Current solutions require navigating multiple siloed databases, dealing with privacy restrictions, and lack standardized formats, causing researchers to waste months on data acquisition instead of actual research. This delays medical discoveries and forces teams to work with incomplete or outdated datasets.
Score: 46.9%