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Extending the Query Language of a Data Warehouse for Patient Recruitment
Georg Dietrich, Maximilian Ertl, Georg Fette, Mathias Kaspar, Jonathan Krebs, Daniel Mackenrodt, Stefan Störk, Frank Puppe
152 - 156
10.3233/978-1-61499-808-2-152
Studies in Health Technology and Informatics
Volume 243: German Medical Data Sciences: Visions and Bridges
Abstract

Patient recruitment for clinical trials is a laborious task, as many texts have to be screened. Usually, this work is done manually and takes a lot of time. We have developed a system that automates the screening process. Besides standard keyword queries, the query language supports extraction of numbers, time-spans and negations. In a feasibility study for patient recruitment from a stroke unit with 40 patients, we achieved encouraging extraction rates above 95% for numbers and negations and ca. 86% for time spans.

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