Hasso-Plattner-Institut
  
Hasso-Plattner-Institut
Prof. Dr. h.c. Hasso Plattner
  
 

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

Matthieu-P. Schapranow,Cindy Perscheid,Hasso Plattner
In Proceedings of the 4th International Conference on Global Health Challenges, pages 67-73, 2015 IARIA.

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.

Keywords:

Clinical Trials,In-Memory Technology,Data Analysis,Eligibility Metric,Clustering

BibTeX file

@inproceedings{Matthieu-P.2015a,
author = { Matthieu-P. Schapranow,Cindy Perscheid,Hasso Plattner },
title = { IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials },
year = { 2015 },
pages = { 67-73 },
month = { 0 },
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. },
keywords = { Clinical Trials,In-Memory Technology,Data Analysis,Eligibility Metric,Clustering },
publisher = { IARIA },
booktitle = { Proceedings of the 4th International Conference on Global Health Challenges },
isbn = { 978-1-61208-424-4 },
issn = { 2308-4553 },
priority = { 0 }
}

Copyright Notice

last change: Fri, 11 Dec 2015 16:38:59 +0100

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

Matthieu-P. Schapranow,Cindy Perscheid,Hasso Plattner
In Proceedings of the 4th International Conference on Global Health Challenges, pages 67-73, 2015 IARIA.

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.

Keywords:

Clinical Trials,In-Memory Technology,Data Analysis,Eligibility Metric,Clustering

BibTeX file

@inproceedings{Matthieu-P.2015a,
author = { Matthieu-P. Schapranow,Cindy Perscheid,Hasso Plattner },
title = { IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials },
year = { 2015 },
pages = { 67-73 },
month = { 0 },
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. },
keywords = { Clinical Trials,In-Memory Technology,Data Analysis,Eligibility Metric,Clustering },
publisher = { IARIA },
booktitle = { Proceedings of the 4th International Conference on Global Health Challenges },
isbn = { 978-1-61208-424-4 },
issn = { 2308-4553 },
priority = { 0 }
}

Copyright Notice

last change: Fri, 11 Dec 2015 16:38:59 +0100

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