Supporting patient screening to identify suitable clinical trials.

Area of Science:

• Oncology
• Genomics
• Clinical Trial Management

Background:

• Patient eligibility assessment for clinical trials is a manual, time-consuming bottleneck.
• Existing research focuses on formalizing eligibility criteria, with limited clinical adoption.
• Automatic matching of criteria to patient data remains underexplored.

Purpose of the Study:

• To propose a scalable and efficient solution for automating patient screening in breast cancer clinical trials.
• To streamline the assessment of patient eligibility for multi-centric, post-genomic trials.
• To bridge the gap between theoretical criterion formalization and practical clinical application.

Main Methods:

• Developed a pragmatic patient screening solution for automatic eligibility evaluation.
• Implemented flexible formalization of clinical trial eligibility criteria and metadata.
• Focused on efficient management of formalized trial representations.

Main Results:

• The proposed solution enables automatic evaluation of patient eligibility against trial criteria.
• It supports flexible formalization of complex trial requirements.
• Efficient management of trial data and patient matching is achieved.

Conclusions:

• The developed system offers a pragmatic approach to automate patient screening for breast cancer trials.
• This streamlines trial execution and improves efficiency in post-genomic research.
• The solution addresses limitations in current clinical trial eligibility assessment methods.