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Generating medical logic modules for clinical trial eligibility criteria
Craig G Parker1, David W Embley
1Computer Science Department, Brigham Young University, Provo, UT, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
Summary
Finding participants for clinical trials is challenging. This study introduces a semi-automated method using electronic medical records to improve clinical trial recruitment and identify eligible candidates more efficiently.
Area of Science:
- Medical research methodology
- Health informatics
Background:
- Clinical trials are crucial for medical advancement.
- Recruiting participants for clinical trials presents significant logistical challenges.
- The widespread adoption of electronic medical records (EMR) offers new opportunities for streamlining research processes.
Purpose of the Study:
- To present a semi-automated approach for clinical trial eligibility determination.
- To leverage electronic medical record data for efficient participant identification.
Main Methods:
- Development of a semi-automated system for analyzing EMR data.
- Utilizing existing patient information within EMRs to assess trial eligibility criteria.
Main Results:
- The proposed semi-automated method facilitates the identification of potential clinical trial candidates.
- This approach aims to reduce the manual effort involved in trial recruitment.
Conclusions:
- Semi-automated eligibility determination using EMRs is a feasible strategy.
- This method has the potential to accelerate clinical trial timelines and improve participant access.