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Bond Health (Bond Trials) — A closed-loop trial-enrollment dataset that links chart-derived eligibility to paid-media exposure and to the realised clinical outcome. For every patient the record carries: an EHR-derived eligibility match against protocol criteria; whether the patient was reached by paid advertising (Meta and Google campaigns, including which campaign creative and channel); whether they responded, were called and texted, and how many follow-up attempts it took; the pre-screen result against criteria answerable from chart review; the visit booking; informed-consent stage; screen-…
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A closed-loop trial-enrollment dataset that links chart-derived eligibility to paid-media exposure and to the realised clinical outcome. For every patient the record carries: an EHR-derived eligibility match against protocol criteria; whether the patient was reached by paid advertising (Meta and Google campaigns, including which campaign creative and channel); whether they responded, were called and texted, and how many follow-up attempts it took; the pre-screen result against criteria answerable from chart review; the visit booking; informed-consent stage; screen-failure signals with cause; and whether they randomised. Also captured: time-to-enrolment at every stage, coordinator labour hours consumed per enrolled patient, and per-site enrolment distribution (which sites enrol none or under-enrol). Bond publishes an annual benchmark report on this (State of Trial Enrollment 2026), so the aggregated layer already exists.
From 2 yearsAsset class EquitiesTickers META · GOOGL · IQV
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Bond Health (Bond Trials) — A closed-loop trial-enrollment dataset that links chart-derived eligibility to paid-media exposure and to the realised clinical outcome. For every patient the record carries: an EHR-derived eligibility match against protocol criteria; whether the patient was reached by paid advertising (Meta and Google campaigns, including which campaign creative and channel); whether they responded, were called and texted, and how many follow-up attempts it took; the pre-screen result against criteria answerable from chart review; the visit booking; informed-consent stage; screen-…
Bondtrials offers (Alternative, Sentiment, Reference) — Not published on this page. Structural estimate: each enrolled patient generates the full funnel chain — EHR match, ad exposure, multiple call and SMS follow-up attempts, pre-screen, consent, randomisation, plus post-enrolment engagement — so order 10^2-10^3 events per enrolled patient. At the volume implied by a per-screened-patient fee model across its site base, order 10^5-10^6 funnel events is plausible; the existence of a 2026 benchmark report implies enough cumulative data to publish aggregate statistics. Confirm cumulative screened-patient count directly..
Patient recruitment response-propensity and contactability modelling (which channel, creative, message and follow-up cadence converts an eligible patient into a screened patient — data almost nobody holds because marketing exposure is rarely joined to clinical outcomes); training and validating automated eligibility-matching models against real screen-failure ground truth; screen-failure reduction and protocol criteria refinement (which criteria are unanswerable from chart review and therefore generate failures); enrolment timeline forecasting and site-capability scoring; trial site finance and cost-per-enrolment modelling from measured staff hours; paid-media effectiveness studies for healthcare recruitment across Meta and Google; patient consent-approach research and trial-access equity analysis (who gets approached and who agrees).
The data is with 2 years of history.
Coverage spans US; Health Care Technology, Life Sciences Tools & Services; alternative, sentiment, reference; equities.
Bondtrials has not added their own details yet. Not yet on file: