Molecularly-Guided Cancer Clinical Trial Matching using FHIR and HL7 Clinical Quality Language: A Proof of Concept

Presentation Time: 03:30 PM - 03:45 PM

Abstract Keywords: Biomarkers, Cancer Genetics, Clinical Decision Support
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Introduction: Clinical trials play a crucial role in precision cancer care. Patients generally learn of trials from their physician, and physician recognition of potential matches can be enhanced through decision support tools. But automated trial matching remains challenging, particularly for molecular eligibility criteria.
Objective: We assessed the feasibility of FHIR Genomics plus CQL to enable trial matching, particularly for molecular criteria.
Methods: We developed a prototype that included (1) encoded trial criteria in CQL; (2) synthetic patient clinical and genomic data; (3) trial eligibility computation.
Results: We found that even complex molecular eligibility criteria can be represented in CQL given that the semantics of a criterion are formalized in base FHIR specifications. The proof of concept "CQL for Clinical Trials Matching" is available at [https://elimu.io/downloads/].
Discussion and Conclusions: Proof of concept work suggests FHIR and CQL as viable options for automating clinical trial matching.

Speaker(s):
Bob Dolin, MD
Elimu Informatics

Author(s):
Bob Dolin, MD - Elimu Informatics; Waddah Arafat, MD - UT Southwestern Medical Center; Bret Heale, PhD - Humanized Health Consulting; Edna Shenvi, MD, MAS - Elimu Informatics Inc.; Srikar Chamala, PhD - Children's Hospital Los Angeles / Univ of Southern California;