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

Integrated Process and Data Management for Healthcare Applications

Integrated Process and Data Management for Healthcare Applications
View Sample PDF
Author(s): Stefan Jablonski (University of Bayreuth, Germany), Rainer Lay (ProDatO Integration Technology GmbH, Germany), Christian Meiler (ProDatO Integration Technology GmbH, Germany), Matthias Faerber (University of Bayreuth, Germany), Bernhard Volz (University of Bayreuth, Germany)and Sebastian Dornstauder (University of Bayreuth, Germany)
Copyright: 2009
Pages: 22
Source title: Medical Informatics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-60566-050-9.ch166

Purchase

View Integrated Process and Data Management for Healthcare Applications on the publisher's website for pricing and purchasing information.

Abstract

Healthcare applications are demanding with respect to their IT needs. Due to their complexity they need strong IT support which must provide enough freedom to their users in the medical domain because of the high degree of flexibility required by them. We have chosen a process based technology, called data logistics, which can cope with these almost conflicting requirements. Data logistics is based on clinical processes. However, when data logistics processes are executed, this happens transparently to the users and provides them a huge degree of freedom in determining the sequence of process execution. In order to cope with these challenging features, the process execution environment for data logistics processes is generated according to our model driven development approach called process driven architecture (PDA). Several clinical studies illustrate the feasibility, effectiveness, and efficiency of the data logistics approach. This article both exposes the rationale of the data logistics approach and provides a deep inside into the implementation concepts.

Related Content

David Edson Ribeiro, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 15 pages.
Juliana Carneiro Gomes, Maíra Araújo de Santana, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 12 pages.
Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos. © 2021. 19 pages.
Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Clarisse Lins de Lima, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima, Wellington Pinheiro dos Santos. © 2021. 25 pages.
Adriel dos Santos Araujo, Roger Resmini, Maira Beatriz Hernandez Moran, Milena Henriques de Sousa Issa, Aura Conci. © 2021. 35 pages.
Abir Baâzaoui, Walid Barhoumi. © 2021. 21 pages.
Marcus Costa de Araújo, Luciete Alves Bezerra, Kamila Fernanda Ferreira da Cunha Queiroz, Nadja A. Espíndola, Ladjane Coelho dos Santos, Francisco George S. Santos, Rita de Cássia Fernandes de Lima. © 2021. 44 pages.
Body Bottom