Clinical-trial patient-matching corpus

Name: Clinical-trial patient-matching corpus: NLP-extracted inclusion/exclusion criteria from trial protocols paired with patient EHR records and continuously-generated match/no-match scores across partner health systems.
Creator: DeepThink Health

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Clinical-trial patient-matching corpus: NLP-extracted inclusion/exclusion criteria from trial protocols paired with patient EHR records and continuously-generated match/no-match scores across partner health systems.

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Coverage

Universe, instruments and categories.

Industry: Health Care Technology
Instruments: equities
Categories: Alternative
Regions

Dataset card

Type: not stated
Format: Multimodal (structured extracted criteria + patient EHR text + ranked tabular match output)
Volume: Likely tens of thousands of patient-protocol match records per partner health system, scaling with each institution's EHR size and number of active trials (rough estimate, low confidence)
Users: ~10-30 partner health-system/institution clients (inferred from 17-employee company size and institution-wide licensing model described on page)
History: 0 years
Update frequency: not stated
Growth: Active (site assets show ongoing maintenance into 2026; steady rather than rapid growth implied by small 17-person team and no recent funding/press)
Launched: est. 2018-2019 (earliest page image assets date to 2020, implying the solution was already established by then; small long-tenured team consistent with a mid-2010s founding)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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