Automated Clinical Trial Recruitment Matching Algorithm

Develop an intelligent automation system that cross-references patient electronic health records against active clinical trial criteria, generating real-time recruitment recommendations. The system should include natural language processing to parse complex inclusion/exclusion criteria, machine learning models to predict patient eligibility, and a secure notification mechanism for clinical research coordinators. Implement robust privacy controls and ensure zero direct patient identification in the matching process.