|Key concepts to assess the readiness of data for International research: Data quality, lineage and provenance, extraction and processing errors, traceability, and curation|
S De Lusignan, ST Liaw, P Krause, V Curcin, MT Vicente, G Michalakidis, ...
Yearbook of medical informatics 20 (01), 112-120, 2011
|Defining datasets and creating data dictionaries for quality improvement and research in chronic disease using routinely collected data: an ontology-driven approach|
S de Lusignan, ST Liaw, G Michalakidis, S Jones
Journal of innovation in health informatics 19 (3), 127-134, 2011
|Tiger nation: Empowering citizen scientists|
AD Mason, G Michalakidis, PJ Krause
2012 6th IEEE International Conference on Digital Ecosystems and …, 2012
|A system for solution-orientated reporting of errors associated with the extraction of routinely collected clinical data for research and quality improvement.|
G Michalakidis, P Kumarapeli, A Ring, J van Vlymen, P Krause, ...
Studies in health technology and informatics 160 (Pt 1), 724, 2010
|The provision and impact of online patient access to their electronic health records (EHR) and transactional services on the quality and safety of health care: systematic …|
F Mold, B Ellis, S De Lusignan, A Sheikh, JC Wyatt, M Cavill, ...
Informatics in Primary Care 20 (4), 271-282, 2012
|What are the barriers to conducting international research using routinely collected primary care data?|
S de Lusignan, C Pearce, NT Shaw, ST Liaw, G Michalakidis, MT Vicente, ...
Studies in health technology and informatics 165, 135, 2011
|Conducting requirements analyses for research using routinely collected health data: a model driven approach.|
S de Lusignan, J Cashman, N Poh, G Michalakidis, A Mason, T Desombre, ...
Studies in health technology and informatics 180, 1105-1107, 2012
|Business process modelling is an essential part of a requirements analysis|
S De Lusignan, P Krause, G Michalakidis, MT Vicente, S Thompson, ...
Yearbook of Medical Informatics 21 (01), 34-43, 2012
|Developing a survey instrument to assess the readiness of primary care data, genetic and disease registries to conduct linked research: TRANSFoRm International Research …|
E Leppenwell, S De Lusignan, MT Vicente, G Michalakidis, P Krause, ...
Journal of Innovation in Health Informatics 20 (3), 207-216, 2013
|International and European Medical Informatics Association and Federation Primary Care Informatics Working Groups: What are the barriers to conducting international research …|
S De Lusignan, C Pearce, NT Shaw, ST Liaw, G Michalakidis, MT Vicente, ...
Stud Health Technol Inform 165, 135-140, 2011
|Consistent data recording across a health system and web-enablement allow service quality comparisons: online data for commissioning dermatology services.|
O Dmitrieva, G Michalakidis, AD Mason, S Jones, T Chan, ...
EFMI-STC, 84-88, 2012
|Business process modelling is an essential part of a requirements analysis for studies linking heterogeneous clinical databases. Accepted for the IMIA Yearbook of Medical …|
S de Lusisgnan, P Krause, G Mchalakidis, MT Vicente, S Thompson, ...
Yearbook of Medical Informatics 7 (1), 34-43, 2012
|An instrument to identify computerised primary care research networks, genetic and disease registries prepared to conduct linked research: TRANSFoRm International Research …|
E Jennings, S De Lusignan, G Michalakidis, P Krause, F Sullivan, ...
Health and Care Informatics 25 (4), 2018
|Appreciation of structured and unstructured content to aid decision making-from Web scraping to ontologies and data dictionaries in healthcare|
|Developing a survey instrument to assess the readiness of primary care data, genetic and disease registries to conduct|
S de Lusignan, G Michalakidis, PJ Krause, F Sullivan, M McGilchrist, ...
|Business process modelling is an essential part of a requirements analysis. Contribution of EFMI primary care working|
S de Lusignan, PJ Krause, G Michalakidis, MT Vicente, S Thompson, ...