IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Exploring a UML Profile Approach to Modeling Web Services in Healthcare

Exploring a UML Profile Approach to Modeling Web Services in Healthcare
View Sample PDF
Author(s): Wullianallur Raghupathi (Fordham University, USA)and Wei Gao (Fordham University, USA)
Copyright: 2010
Pages: 17
Source title: Strategic Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): M. Gordon Hunter (University of Lethbridge, Canada)
DOI: 10.4018/978-1-60566-677-8.ch047

Purchase

View Exploring a UML Profile Approach to Modeling Web Services in Healthcare on the publisher's website for pricing and purchasing information.

Abstract

The Web services paradigm offers numerous potential benefits to the health care area. These include interoperability, portability, scalability, and compliance with universal standards. How-ever, development of large-scale Web services applications in health care is relatively scarce. Multiple challenges are slowing the diffusion of information technology practices in health care, starting with the absence of modeling tools and methodologies that are the bases for building such technology. This article describes a UML profile approach to developing Web services applications in the health care area, emphasizing the use of such extensions as stereotyping and tagging to model the unique elements of health care processing. We apply these ideas to a health clinic example. From here, one can imagine building incrementally upon these ideas to develop frameworks for Web services applications in health care. The benefits would enhance the overall quality of health care delivery and lower costs.

Related Content

Michael A. Erskine, Will Pepper. © 2019. 25 pages.
Camilla Metelmann, Bibiana Metelmann. © 2019. 25 pages.
Lars Haahr. © 2019. 21 pages.
Hans J. Scholl. © 2019. 35 pages.
Mohamed Mahmood. © 2019. 16 pages.
Amizan Omar, Craig Johnson, Vishanth Weerakkody. © 2019. 22 pages.
Bruna Diirr, Renata Araujo, Claudia Cappelli. © 2019. 31 pages.
Body Bottom