Towards a scientific workflow methodology for primary care database studies

Author:

Curcin Vasa1,Bottle Alex2,Molokhia Mariam3,Millett Christopher2,Majeed Azeem2

Affiliation:

1. Department of Computing, Imperial College London, London SW7 2AZ,

2. Department of Primary Care and Social Medicine, Faculty of Medicine, Imperial College London, London W6 8RP

3. Non-communicable Disease Epidemiology Unit, London School of Hygiene and Tropical Medicine, London WC1E 7HT

Abstract

We describe the challenges of conducting studies based on mining large-scale primary care databases, namely data integration, data set definition, result reproducibility and reusability. These correspond to higher-level informatics challenges of automation, provenance capture and component integration. We provide a high-level view of the informatics infrastructure that addresses these challenges through a generic workflowbased e-Science middleware, and describe our experiences using the system to investigate differences in the health status of patients with diabetes before and after the national introduction of the UK GP contract in 2004.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

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