University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Conducting Requirements Analyses for Research using Routinely Collected Health Data: a Model Driven Approach.

de Lusignan, S, Cashman, J, Poh, N, Michalakidis, G, Mason, A, Desombre, T and Krause, P (2012) Conducting Requirements Analyses for Research using Routinely Collected Health Data: a Model Driven Approach. Stud Health Technol Inform, 180. pp. 1105-1107.

Full text not available from this repository.

Abstract

Background: Medical research increasingly requires the linkage of data from different sources. Conducting a requirements analysis for a new application is an established part of software engineering, but rarely reported in the biomedical literature; and no generic approaches have been published as to how to link heterogeneous health data. Methods: Literature review, followed by a consensus process to define how requirements for research, using, multiple data sources might be modeled. Results: We have developed a requirements analysis: i-ScheDULEs - The first components of the modeling process are indexing and create a rich picture of the research study. Secondly, we developed a series of reference models of progressive complexity: Data flow diagrams (DFD) to define data requirements; unified modeling language (UML) use case diagrams to capture study specific and governance requirements; and finally, business process models, using business process modeling notation (BPMN). Discussion: These requirements and their associated models should become part of research study protocols.

Item Type: Article
Authors :
NameEmailORCID
de Lusignan, Ss.lusignan@surrey.ac.ukUNSPECIFIED
Cashman, JUNSPECIFIEDUNSPECIFIED
Poh, Nn.poh@surrey.ac.ukUNSPECIFIED
Michalakidis, GUNSPECIFIEDUNSPECIFIED
Mason, AUNSPECIFIEDUNSPECIFIED
Desombre, TUNSPECIFIEDUNSPECIFIED
Krause, Pp.krause@surrey.ac.ukUNSPECIFIED
Date : 2012
Identification Number : https://doi.org/10.3233/978-1-61499-101-4-1105
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:32
Last Modified : 17 May 2017 15:04
URI: http://epubs.surrey.ac.uk/id/eprint/835742

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800