de Lusignan S - Search Results

1

Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs.

Liyanage H, Liaw ST, Jonnagaddala J, Hinton W, de Lusignan S. Liyanage H, et al. Among authors: de lusignan s. Stud Health Technol Inform. 2018;255:60-64. Stud Health Technol Inform. 2018. PMID: 30306907 Review.

2

What are the barriers to conducting international research using routinely collected primary care data?

de Lusignan S, Pearce C, Shaw NT, Liaw ST, Michalakidis G, Vicente MT, Bainbridge M; International (IMIA); European (EFMI) Medical Informatics Association; Federation Primary Care Informatics Working Groups (PCI-WG). de Lusignan S, et al. Stud Health Technol Inform. 2011;165:135-40. Stud Health Technol Inform. 2011. PMID: 21685599

3

Consistent data recording across a health system and web-enablement allow service quality comparisons: online data for commissioning dermatology services.

Dmitrieva O, Michalakidis G, Mason A, Jones S, Chan T, de Lusignan S. Dmitrieva O, et al. Among authors: de lusignan s. Stud Health Technol Inform. 2012;174:84-8. Stud Health Technol Inform. 2012. PMID: 22491117

4

Defining datasets and creating data dictionaries for quality improvement and research in chronic disease using routinely collected data: an ontology-driven approach.

de Lusignan S, Liaw ST, Michalakidis G, Jones S. de Lusignan S, et al. Inform Prim Care. 2011;19(3):127-34. doi: 10.14236/jhi.v19i3.805. Inform Prim Care. 2011. PMID: 22688221 Free article.

5

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, Krause P. de Lusignan S, et al. Stud Health Technol Inform. 2012;180:1105-7. Stud Health Technol Inform. 2012. PMID: 22874368

6

Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature.

Liaw ST, Rahimi A, Ray P, Taggart J, Dennis S, de Lusignan S, Jalaludin B, Yeo AE, Talaei-Khoei A. Liaw ST, et al. Among authors: de lusignan s. Int J Med Inform. 2013 Jan;82(1):10-24. doi: 10.1016/j.ijmedinf.2012.10.001. Epub 2012 Nov 2. Int J Med Inform. 2013. PMID: 23122633 Review.

7

Accelerating the development of an information ecosystem in health care, by stimulating the growth of safe intermediate processing of health information (IPHI).

Liyanage H, Liaw ST, de Lusignan S. Liyanage H, et al. Among authors: de lusignan s. Inform Prim Care. 2012;20(2):81-6. Inform Prim Care. 2012. PMID: 23710772 Free article.

8

Reporting of Studies Conducted using Observational Routinely Collected Data (RECORD) statement: call for contributions from the clinical informatics community.

Liyanage H, Liaw ST, de Lusignan S. Liyanage H, et al. Among authors: de lusignan s. Inform Prim Care. 2012;20(4):221-4. Inform Prim Care. 2012. PMID: 23890332 No abstract available.

9

Ontologies to improve chronic disease management research and quality improvement studies - a conceptual framework.

Liyanage H, Liaw ST, Kuziemsky C, de Lusignan S. Liyanage H, et al. Among authors: de lusignan s. Stud Health Technol Inform. 2013;192:180-4. Stud Health Technol Inform. 2013. PMID: 23920540

10

The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review. Contribution of the IMIA Primary Health Care Informatics WG.

Liyanage H, Liaw ST, Kuziemsky C, Terry AL, Jones S, Soler JK, de Lusignan S. Liyanage H, et al. Among authors: de lusignan s. Yearb Med Inform. 2013;8:147-54. Yearb Med Inform. 2013. PMID: 23974562 Review.

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