Summary
Provides best practices and evaluation methods for AI systems that extract and structure clinical-trial protocol information and map eligibility criteria to patient data, addressing accuracy, traceability, data interpretation, validation, fairness, and responsible workflow integration.
Healthcare Implications
Research organizations, healthcare providers, and developers should validate extraction and mapping against expert-reviewed references, preserve source traceability, test performance on structured and unstructured records, assess subgroup effects, protect patient data, and maintain human review for enrollment and eligibility decisions.