Paper
19 May 2003 Framework for the development of the clinical image access service using Java
Author Affiliations +
Abstract
The implementation of the Object Management Group Healthcare Domain Task Force specification is very complex and time consuming. Most healthcare institutions lack professionals with the necessary time, knowledge or experience to understand and adapt the specification to the needs of the institution. In this paper we propose a framework that facilitates the development of Clinical Image Access Service (CIAS) and Clinical Observation Access Service (COAS) using Java. The framework hides the inherent complexity of ORB initialization, object reference and object persistence, allowing the implementers to focus on the access to the information that will be made available by the HDTF services. The framework is based on a delegation scheme for the main components of the CIAS and COAS specification. The framework handles tasks such as object initialization, registration, activation and deactivation which, otherwise, would be responsibility of the implementers. The framework has been implemented using JacORB 1.4 although it can support any ORB. The framework is being used to integrate different systems at the Heart Institute of Sao Paulo. The use of this framework can ease the implementation and integration of distributed information systems. It will improve the quality of healthcare services and allow interoperability between healthcare providers by the use of OMG growing standard in medicine.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramon Alfredo Moreno and Sergio Shiguemi Furuie "Framework for the development of the clinical image access service using Java", Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); https://doi.org/10.1117/12.480676
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Medicine

Databases

Java

Composites

Heart

Data modeling

Medical imaging

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