Towards a scientific workflow methodology for primary care database studies


Curcin, V; Bottle, A; Molokhia, M; Millett, C; Majeed, A; (2010) Towards a scientific workflow methodology for primary care database studies. Statistical methods in medical research, 19 (4). pp. 378-393. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280209359880

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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 workflow-based 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.

Item Type: Article
Keywords: DIABETES MANAGEMENT, PERFORMANCE, PAY, CHALLENGES, SERVICES, QUALITY, UK
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
PubMed ID: 20442191
Web of Science ID: 280739700003
URI: http://researchonline.lshtm.ac.uk/id/eprint/3053

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