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Items where Author is "Liaw, S"

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Article

Hinton, W, Liyanage, H, McGovern, A, Liaw, ST, Kuziemsky, C, Munro, N and de Lusignan, Simon (2017) Measuring Quality of Healthcare Outcomes in Type 2 Diabetes from Routine Data: a Seven-nation Survey Conducted by the IMIA Primary Health Care Working Group. Primary Health Care Informatics Working Group Contribution to the Year Book of Medical Informatics 2017 Yearb Med Inform, 26 (1).

De Lusignan, S, Liyanage, H, Di Iorio, CT, Chan, T and Liaw, ST (2016) Using routinely collected health data for surveillance, quality improvement and research: Framework and key questions to assess ethics, privacy and data access. J Innov Health Inform, 22 (4). pp. 426-432.

Liyanage, HS, Liaw, S-T, Di Iorio, CT, Kuziemsky, C, Schreiber, R, Terry, AL and de Lusignan, S (2016) Building a Privacy, Ethics, and Data Access Framework for Real World Computerised Medical Record System Data: A Delphi Study IMIA Yearbook of Medical Informatics, 2016. pp. 138-145.

Liyanage, H, Correa, A, Liaw, ST, Kuziemsky, C, Terry, AL and de Lusignan, S (2015) Does Informatics Enable or Inhibit the Delivery of Patient-centred, Coordinated, and Quality-assured Care: a Delphi Study. A Contribution of the IMIA Primary Health Care Informatics Working Group. Yearb Med Inform, 10 (1). pp. 22-29.

de Lusignan, S, Liaw, ST, Dedman, D, Khunti, K, Sadek, K and Jones, S (2015) An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR). J Innov Health Inform, 22 (2). pp. 255-264.

Liaw, ST, Taggart, J, Yu, H, de Lusignan, S, Kuziemsky, C and Hayen, A (2014) Integrating electronic health record information to support integrated care: practical application of ontologies to improve the accuracy of diabetes disease registers. J Biomed Inform, 52. pp. 364-372.

Carr, H, de Lusignan, S, Liyanage, H, Liaw, S-T, Terry, A and Rafi, I (2014) Defining dimensions of research readiness: a conceptual model for primary care research networks BMC FAMILY PRACTICE, 15, ARTN 169.

Liyanage, H, de Lusignan, S, Liaw, ST, Kuziemsky, CE, Mold, F, Krause, P, Fleming, D and Jones, S (2014) Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks. Contribution of the IMIA Primary Healthcare Working Group. Yearb Med Inform, 9. pp. 27-35.

Liaw, ST, Pearce, C, Liyanage, H, Liaw, GS and de Lusignan, S (2014) An integrated organisation-wide data quality management and information governance framework: theoretical underpinnings. Inform Prim Care, 21 (4). pp. 199-206.

Liaw, ST, Rahimi, A, Jalaludin, B, Taggart, J, Dennis, S, Ray, P, Talaei-Khoei, A, de Lusignan, S and Yeo, AET (2013) Corrigendum to "Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature" [Int. J. Med. Inform. 82 (2013) 10-24] International Journal of Medical Informatics, 82 (2). p. 139.

Liyanage, H, Liaw, ST, Kuziemsky, C, Terry, AL, Jones, S, Soler, JK and de Lusignan, S (2013) 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. Yearb Med Inform, 8 (1). pp. 147-154.

Liyanage, H, Liaw, ST, Kuziemsky, C and de Lusignan, S (2013) Ontologies to improve chronic disease management research and quality improvement studies - a conceptual framework. Stud Health Technol Inform, 192. pp. 180-184.

Liaw, ST, Rahimi, A, Ray, P, Taggart, J, Dennis, S, de Lusignan, Simon, Jalaludin, B, Yeo, AE and Talaei-Khoei, A (2012) Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature. Int J Med Inform, 82. pp. 10-24.

de Lusignan, Simon, Jones, S, Liaw, S-T and Michalakidis, Georgios (2012) Defining datasets and creating data dictionaries for quality improvement and research in chronic disease using routinely collected data: An ontology-driven approach Informatics in Primary Care, 19 (3). pp. 127-134.

Liyanage, H, Liaw, ST and de Lusignan, S (2012) Accelerating the development of an information ecosystem in health care, by stimulating the growth of safe intermediate processing of health information (IPHI). Inform Prim Care, 20 (2). pp. 81-86.

Liyanage, H, Liaw, ST and de Lusignan, S (2012) Reporting of Studies Conducted using Observational Routinely Collected Data (RECORD) statement: call for contributions from the clinical informatics community. Inform Prim Care, 20 (4). pp. 221-224.

de Lusignan, S, Liaw, ST, Krause, P, Curcin, V, Vicente, MT, Michalakidis, G, Agreus, L, Leysen, P, Shaw, N and Mendis, K (2011) Key Concepts to Assess the Readiness of Data for International Research: Data Quality, Lineage and Provenance, Extraction and Processing Errors, Traceability, and Curation. Contribution of the IMIA Primary Health Care Informatics Working Group. Yearb Med Inform, 6 (1). pp. 112-120.

de Lusignan, S, Pearce, C, Shaw, NT, Liaw, ST, Michalakidis, G, Vicente, MT, Bainbridge, M, International (IMIA), , European (EFMI) Medical Informatics Association, and Federation Primary Care Informatics Working Groups (PCI-WG), (2011) What are the barriers to conducting international research using routinely collected primary care data? Stud Health Technol Inform, 165. pp. 135-140.

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