Toward Pay-As-You-Go Data Integration for Healthcare Simulations

Baumgärtel P, Endler G, Lenz R (2014)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2014

Publisher: SciTePress

Edited Volumes: HEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

City/Town: Portugal

Pages Range: 172-177

Conference Proceedings Title: Proceedings of the International Conference on Health Informatics

Event location: Loire Valley, France FR

ISBN: 978-989-758-010-9

URI: http://www6.informatik.uni-erlangen.de/publications/public/2014/hi2014_baumgaertel.pdf

DOI: 10.5220/0004734201720177

Abstract

ProHTA (Prospective Health Technology Assessment) aims at understanding the impact of innovative medical processes and technologies at an early stage. To that end, large scale healthcare simulations are employed to estimate the effects of potential innovations. Simulation techniques are also utilized to detect areas with a high potential for improving the supply chain of healthcare. The data needed for both validating and adjusting these simulations typically comes from various heterogeneous sources and is often preaggregated and insufficiently documented. Thus, new data management techniques are required to cope with these conditions. Because of the high initial integration effort, we propose a pay-as-you-go approach using RDF. Thereby, data storage is separated from semantic annotation. Our proposed system offers automatic initial integration of various data sources. Additionally, it provides methods for searching semantically annotated data and for loading it into the simulation. The user can add annotations to the data in order to enable semantic integration on demand. In this paper, we demonstrate the feasibility of this approach with a prototype implementation. We discuss benefits and remaining challenges. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.

Authors with CRIS profile

Philipp Baumgärtel Chair for Computer Science 6 (Data Management) Gregor Endler Chair for Computer Science 6 (Data Management) Richard Lenz Professur für evolutionäres Datenmanagement

How to cite

APA:

Baumgärtel, P., Endler, G., & Lenz, R. (2014). Toward Pay-As-You-Go Data Integration for Healthcare Simulations. In Proceedings of the International Conference on Health Informatics (pp. 172-177). Loire Valley, France, FR: Portugal: SciTePress.

MLA:

Baumgärtel, Philipp, Gregor Endler, and Richard Lenz. "Toward Pay-As-You-Go Data Integration for Healthcare Simulations." Proceedings of the International Conference on Health Informatics 2014, Loire Valley, France Portugal: SciTePress, 2014. 172-177.

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