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Automated matching software for clinical trials eligibility: measuring efficiency and flexibility
Lynne Penberthy1, Richard Brown, Federico Puma
1Dept of Internal Medicine, School of Medicine, Virginia Commonwealth University, Massey Cancer Center, United States. lpenbert@vcu.edui
Contemporary Clinical Trials
|March 17, 2010
Summary
Automating clinical trial (CT) eligibility screening significantly reduces staff time and enhances efficiency. This approach ensures all patients are evaluated for clinical trial participation, improving access and accelerating new therapy delivery.
Area of Science:
- Clinical research and development
- Health informatics
- Patient access to novel therapies
Background:
- Clinical trials (CT) are crucial for translating research into standard care.
- Slow or low patient recruitment in CT delays new therapy availability.
- Accurate eligibility determination is key for unbiased CT results and equitable patient access.
Purpose of the Study:
- To evaluate an automated clinical trial eligibility screening tool.
- Assessed efficiency, flexibility, and generalizability across diverse CT scenarios.
Main Methods:
- Pilot project utilizing an automated eligibility screening tool.
- Evaluated tool performance across 5 distinct clinical trials.
- Compared automated screening with traditional manual methods.
Main Results:
- Substantial savings in research staff time (165-1329 hours).
- Marked efficiency enhancement with the automated system in most trials.
- Reduced staff time per eligible patient identified (0.8-19.4 ratio).
Conclusions:
- Automation reduces the burden of manual clinical trial eligibility screening.
- Ensures all appropriate patients are evaluated for CT participation.
- Automated systems transfer screening load to computers, saving time.
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