Ulster University Logo

Ulster Institutional Repository

Application of synthetic patient data in the assessment of rapid rule-out protocols usingPoint-of-Care testing during chest pain diagnosis in a UK emergency department

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Robinson, S, FitzGibbon, F, Eatock, J, Hunniford, T, Dixon, D and Meenan, BJ (2009) Application of synthetic patient data in the assessment of rapid rule-out protocols usingPoint-of-Care testing during chest pain diagnosis in a UK emergency department. Journal of Simulation, 3 . pp. 163-170. [Journal article]

[img]PDF - Published Version
Indefinitely restricted to Repository staff only.

304Kb

URL: http://www.ingentaconnect.com/content/pal/jos/2009/00000003/00000003/art00005

DOI: 10.1057/jos.2009.4

Abstract

Clinical research is often delayed by the lack of data and the need for ethical approval. We suggest that this need could be initially satisfied by synthetic data that has the same characteristics as those from patient records. The generation of this data requires some domain knowledge to ensure appropriate data management. As an exemplar of this concept we generate patients presenting with undifferentiated chest pain at Emergency Department (ED). Their diagnosis uses biochemical markers indicative of myocardial cell damage. Efficient diagnosis is paramount and a number of different competing protocols have been advocated. Analysis of resulting data shows that while the measurement of cardiac markers may not register above a cut-off value that the time differentiated rule-out protocols are valuable indicators of disease. We therefore demonstrate both concept and value of the use of synthetic data that would have taken years to gather and not have been reproducible or repeatable.

Item Type:Journal article
Keywords:synthetic data; point-of-care; rule-out; chest pain; emergency department
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:7149
Deposited By:Professor Brian Meenan
Deposited On:20 Jan 2010 11:38
Last Modified:18 Aug 2011 11:43

Repository Staff Only: item control page