Work

Automating Clinical Trial Matches Via Natural Language Processing of Synthetic Electronic Health Records and Clinical Trial Eligibility Criteria.

Year: 2024

Type: article

Abstract: Clinical trials are critical to many medical advances; however, recruiting patients remains a persistent obstacle. Automated clinical trial matching could expedite recruitment across all trial phases. We detail our initial efforts towards automating the matching process by linking realistic synthetic electronic health records to clinical trial eligibility criteria using natural language processing methods. We also demonstrate how the Sørensen-Dice Index can be adapted to quantify match quality between a patient and a clinical trial.

Source: PubMed Central

Authors: Victor M Murcia, Vinod Aggarwal, Nikhil Pesaladinne, Ram Thammineni, Nhan Do, Gil Alterovitz, Rafael B Fricks

Institutions: United States Department of Veterans Affairs, Veterans Health Administration, Veterans Administration

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4399317236

FWCI: 0.814

Cites: 21

Cited by: 6

Related to: 10