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Clinical Trial Recruitment and Eligibility Matching

Match patients to trial protocols from structured and unstructured clinical data, so recruitment stops being the reason trials run late.

RankedCandidates with per-criterion evidence
NarrativeNotes searched, not just coded fields
Clinician-confirmedReview before any approach

Typical outcomes for this kind of engagement. Results depend on your data and starting point.

THE CHALLENGE

Recruitment is the most common cause of clinical trial delay, and most sites screen by manual chart review against protocols with dozens of inclusion and exclusion criteria.

  • Recruitment delay as the most common cause of clinical trial overrun
  • Manual chart review against protocols with dozens of inclusion and exclusion criteria
  • Eligible patients missed because the deciding detail sits in narrative rather than coded fields
OUR APPROACH

CloudGate builds an eligibility matching platform that structures protocol criteria, extracts clinical facts from both coded fields and narrative notes using Azure AI Health Insights, and produces a ranked candidate list with the evidence for each criterion attached.

  • Protocol inclusion and exclusion criteria structured into machine-evaluable form
  • Clinical fact extraction from both coded fields and narrative clinical notes
  • Ranked candidate list with the supporting evidence attached per criterion
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