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BioMed Research International
Volume 2016, Article ID 9027457, 12 pages
Research Article

A Multiagent System for Dynamic Data Aggregation in Medical Research

1Applied Intelligent Systems Laboratory, HES-SO VS, Sierre, Switzerland
2Distributed Information Systems Laboratory, EPFL, Lausanne, Switzerland
3Accounting and Information Management, Maastricht University, Maastricht, Netherlands
4Information Security Group, UPC, Barcelona, Spain

Received 8 July 2016; Revised 23 September 2016; Accepted 18 October 2016

Academic Editor: Juan F. De Paz

Copyright © 2016 Alevtina Dubovitskaya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The collection of medical data for research purposes is a challenging and long-lasting process. In an effort to accelerate and facilitate this process we propose a new framework for dynamic aggregation of medical data from distributed sources. We use agent-based coordination between medical and research institutions. Our system employs principles of peer-to-peer network organization and coordination models to search over already constructed distributed databases and to identify the potential contributors when a new database has to be built. Our framework takes into account both the requirements of a research study and current data availability. This leads to better definition of database characteristics such as schema, content, and privacy parameters. We show that this approach enables a more efficient way to collect data for medical research.