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A practical method for transforming free-text eligibility criteria into computable criteria
Samson W Tu1, Mor Peleg, Simona Carini
1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA. swt@stanford.edu
Journal of Biomedical Informatics
|September 21, 2010
Summary
Formalizing clinical trial eligibility criteria is challenging. ERGO annotation offers a practical, semi-automated method to capture criteria semantics, enabling easier patient eligibility determination and study population searches.
Area of Science:
- Biomedical Informatics
- Clinical Trial Management
- Natural Language Processing
Background:
- Formalizing clinical trial eligibility criteria is crucial for efficient subject recruitment and study identification.
- Directly translating free-text criteria into formal languages is labor-intensive and complex.
Purpose of the Study:
- To develop and evaluate a practical method for converting free-text eligibility criteria into a computer-interpretable format.
- To demonstrate the utility of ERGO annotation for clinical trial operations.
Main Methods:
- Developed ERGO annotation, a format for annotating free-text eligibility criteria.
- Utilized natural language processing techniques for partial automation of annotation.
- Evaluated annotation accuracy, feasibility, and computability using real-world data from ClinicalTrials.gov.
Main Results:
- ERGO annotations effectively capture the semantics of free-text eligibility criteria.
- The annotation process was demonstrated to be feasible.
- ERGO annotations enabled structuring criteria, searching study populations, and screening patients.
Conclusions:
- ERGO annotation provides a practical and incremental approach to formalizing eligibility criteria.
- This method enhances the computability of clinical trial information.
- Facilitates improved eligibility determination and clinical trial recruitment.
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