Extending the Query Language of a Data Warehouse for Patient Recruitment
Dietrich, G.; Ertl, M.; Fette, G.; Kaspar, M.; Krebs, J.; Mackenrodt, D.; Störk, S.; Puppe, F.
Studies in Health Technology and Informatics 243: 152-156
2017
ISSN/ISBN: 1879-8365 PMID: 28883190 Document Number: 693853
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.