Towards a Web Services Infrastructure for Perinatal, Obstetrical, and Neonatal Clinical Decision Support

Author

Frize, M. ; Catley, C. ; Walker, C.R. ; Petriu, D.C. ; Yang, L.

Author_Institution

Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada; School of Information Tech & Eng., 161 Louis Pasteur, University of Ottawa, Ottawa, ON, Canada

Volume

2

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

3334

Lastpage

3337

Abstract

This paper presents the design of a unifying infrastructure for clinical decision support systems (CDSSs) and medical data relating to the perinatal life cycle. The diverse CDSSs designed for deployment within the perinatal life cycle to improve care, such as Artificial Neural Networks and Case-Based Reasoners, are integrated using the eXtended Markup Language (XML) and are subsequently offered as a secure web service. These web services are accessible from anywhere within the hospital information system and from remote authorized sites. The goal of such an infrastructure is to provide integrated CDSS processing in a complex distributed environment, in order to support real-time physician decision-making. This design provides a novel web services infrastructure implementation and offers a strong case study for deploying and evaluating the web services paradigm within a health care environment.

Keywords

Web services; XML; artificial intelligence; clinical decision support; integration architecture; Artificial neural networks; Decision making; Decision support systems; Hospitals; Information systems; Markup languages; Medical services; Pediatrics; Web services; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403937

Filename

1403937