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HealthcareSolution

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.

Solution
Machine Learning
Industry
Healthcare
Company Size

Solution Overview

industry
Healthcare
solution
Machine Learning
technologies
Azure AI Health Insights, Azure OpenAI, Azure Health Data Services, Microsoft Fabric, Azure Machine Learning, Microsoft Purview

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.

  • 1Recruitment delay as the most common cause of clinical trial overrun
  • 2Manual chart review against protocols with dozens of inclusion and exclusion criteria
  • 3Eligible 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

Typical Outcomes

Ranked
CANDIDATES WITH PER-CRITERION EVIDENCE
Narrative
NOTES SEARCHED, NOT JUST CODED FIELDS
Clinician-confirmed
REVIEW BEFORE ANY APPROACH

Typical outcomes for this solution pattern, not the results of a named client engagement.

Technologies Used

Azure AI Health InsightsAzure OpenAIAzure Health Data ServicesMicrosoft FabricAzure Machine LearningMicrosoft Purview
Full architecture and data flow in the Data & AI Catalog

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