A Tool for Simple and Efficient Clinical Protocol Evaluation

Researchers need to evaluate newly thought clinical protocols for validity and performance. A main challenge for such evaluations is the lack of real-world data sets due to the private nature of patient information. Researchers resort to synthetic data in order to simulate the real-world counterpart. We present a tool for researchers to increase their confidence in the evaluations they perform by allowing them to run their evaluations on a large number of synthetic data sets efficiently. This tool is used for distributing the evaluation on multiple machines in parallel, hence reducing processing time by the number of machines used, and for monitoring and merging the results. It allows the comparison of multiple algorithms and includes filters based on name length and record field selection to evaluate the effectiveness of algorithms in that regard. It also addresses the firewall limitations of current laboratory infrastructures, especially when security is of key importance.