loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: J. van Leeuwen 1 ; A. Bucur 1 ; B. Claerhout 2 ; K. De Schepper 2 ; D. Perez-Rey 3 and R. Alonso-Calvo 3

Affiliations: 1 Philips Electronics BV, Netherlands ; 2 Custodix NV, Belgium ; 3 Universidad Politécnica de Madrid, Spain

ISBN: 978-989-758-010-9

Keyword(s): Clinical Trials, Trial Metadata, Trial Metadata Repository, Semantic Interoperability, Trial Eligibility.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; Decision Support Systems ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Healthcare Management Systems ; Information Systems Analysis and Specification ; Integration/Interoperability ; Interoperability ; Knowledge Management ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Semantic Interoperability ; Sensor Networks ; Simulation and Modeling ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: Making information about clinical trials accessible in a machine interpretable way could aid applications both in clinical care and clinical research, such as patient screening, trial recruitment, trial meta-analysis, trial duplication detection and clinical decision support. We present our standards-based trial metadata repository that captures structured trial information and application-specific formalisms and execution logic supporting a range of relevant applications, with a focus on interoperability and machine interpretability to enable more efficient support for clinical research and faster knowledge transfer into care, We further exemplify the use of the Trial Metadata Repository for a patient screening application for clinical trials. Additionally, the mechanisms are described to manage the information model of the repository when the scope is enlarged to additional contexts.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.226.151

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
van Leeuwen, J.; Bucur, A.; Claerhout, B.; De Schepper, K.; Perez-Rey, D. and Alonso-Calvo, R. (2014). BRIDG-based Trial Metadata Repository - Need for Standardized Machine Interpretable Trial Descriptions.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 453-458. DOI: 10.5220/0004910304530458

@conference{healthinf14,
author={J. van Leeuwen. and A. Bucur. and B. Claerhout. and K. De Schepper. and D. Perez{-}Rey. and R. Alonso{-}Calvo.},
title={BRIDG-based Trial Metadata Repository - Need for Standardized Machine Interpretable Trial Descriptions},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={453-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004910304530458},
isbn={978-989-758-010-9},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - BRIDG-based Trial Metadata Repository - Need for Standardized Machine Interpretable Trial Descriptions
SN - 978-989-758-010-9
AU - van Leeuwen, J.
AU - Bucur, A.
AU - Claerhout, B.
AU - De Schepper, K.
AU - Perez-Rey, D.
AU - Alonso-Calvo, R.
PY - 2014
SP - 453
EP - 458
DO - 10.5220/0004910304530458

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.