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IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials

Authors:
Matthieu-P. Schapranow
Cindy Perscheid
Hasso Plattner

Keywords: Clinical Trials; In-Memory Technology; Data Analysis; Eligibility Metric; Clustering

Abstract:
Recruitment of participants for clinical trials is a complex task involving screening of hundreds of thousands of candidates, e.g., testing for trial-specific inclusion and exclusion criteria. Today, a significant amount of time is spent on manual screening as improper selected candidates have impact on the overall study results. We introduce a candidate eligibility metric, which allows systematic ranking and classification of candidates based on trial-specific filter criteria in an automatic way. It is implemented as part of our web application, which enables real-time analysis of patient data and assessment of candidates. Thus, the time for identification of eligible candidates is tremendously reduced whilst additional degrees of freedom for assessing the relevance of individual candidates are available.

Pages: 67 to 73

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-424-4

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015