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BEKhealth (BEKnetwork / BEKplatform) — Longitudinal real-world clinical data harvested from community-based research sites' own EMRs through 25+ proprietary ingestion adapters, normalised by an AI layer that translates structured codes and unstructured clinical notes into research-ready endpoints. Deliverable assets: network-wide protocol-eligibility matching at patient and site level against inclusion/exclusion criteria within about 24 hours, site feasibility and enrollment-capacity scoring, and de-identified longitudinal patient records usable as external control arms and regulatory evidenc…
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Longitudinal real-world clinical data harvested from community-based research sites' own EMRs through 25+ proprietary ingestion adapters, normalised by an AI layer that translates structured codes and unstructured clinical notes into research-ready endpoints. Deliverable assets: network-wide protocol-eligibility matching at patient and site level against inclusion/exclusion criteria within about 24 hours, site feasibility and enrollment-capacity scoring, and de-identified longitudinal patient records usable as external control arms and regulatory evidence.
Scale 21M+ patient records statedFrom 10 yearsAsset class Equities
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BEKhealth (BEKnetwork / BEKplatform) — Longitudinal real-world clinical data harvested from community-based research sites' own EMRs through 25+ proprietary ingestion adapters, normalised by an AI layer that translates structured codes and unstructured clinical notes into research-ready endpoints. Deliverable assets: network-wide protocol-eligibility matching at patient and site level against inclusion/exclusion criteria within about 24 hours, site feasibility and enrollment-capacity scoring, and de-identified longitudinal patient records usable as external control arms and regulatory evidenc…
Bekhealth offers (Alternative, Fundamental, Reference) — 21M+ patient records stated, spanning 200+ clinical trial sites and 1,000+ trials, ingested through 25+ EMR adapters. Because the data is longitudinal (serial encounters and notes per patient), underlying rows of clinical events and observations run well above the patient count — plausibly 10^8+ events at network scale..
Trial feasibility and site-selection modelling; protocol design and criteria-impact studies; screen-failure prediction; enrollment-rate and enrollment-risk forecasting; construction of external or synthetic control arms for regulatory submissions; real-world evidence for post-market studies and label expansion; training and benchmarking clinical NLP concept extractors on de-identified note-to-endpoint pairs; benchmarking community-based versus academic-site recruitment performance.
The data is with 10 years of history.
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