Enable Precision in Patient Recruitment with Citeline PatientMatch

Citeline PatientMatch is an AI- and real-world data-driven solution designed to help clinical trial sponsors and sites identify highly qualified, protocol-matched patients earlier in their care journey. By leveraging diverse data sources such as medical and pharmacy claims, laboratory results, electronic health records (EHR), and provider-dictated clinical notes, Citeline PatientMatch enables sponsors to surface eligible patients with greater precision and speed.

Citeline PatientMatch stands out by combining multiple proprietary datasets, including the Skipta network of over 2 million providers, Trialtrove, and Sitetrove, with large-scale real-world data (RWD). It applies advanced natural language processing (NLP) to both structured and unstructured clinical notes, enabling detection of deeper clinical signals and identification of patients beyond standard coded diagnoses.

Sponsors and sites leveraging Citeline PatientMatch can expect earlier identification of highly qualified, protocol-matched patients, reduced screening burden, and lower screen failure rates. This leads to faster enrollment timelines, increased site engagement, and more predictable recruitment performance.