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Journal of Healthcare Engineering
Volume 2017, Article ID 2190679, 24 pages
https://doi.org/10.1155/2017/2190679
Research Article

A SOA-Based Platform to Support Clinical Data Sharing

1Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Via Opera Pia 13, 16145 Genoa, Italy
2Healthropy s.r.l., Corso Italia 15/6, 17100 Savona, Italy

Correspondence should be addressed to M. Giacomini; ti.eginu.tsid@inimocaig.oruam

Received 20 January 2017; Accepted 3 April 2017; Published 25 May 2017

Academic Editor: Jiang Bian

Copyright © 2017 R. Gazzarata 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.

Abstract

The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the “Interoperable” Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the “Interoperable” Tier, the current solution actually covers the “Connected” Tier, due to local hospital policy restrictions.