Meet the Team

Our current, main study is PCDQ. The Primary Care Data Quality (PCDQ) offers targeted clinical programmes (audit-based education) in key disease areas. The programme has been initially developed by the Primary Care Informatics Group at St. George’s University of London. Our team has worked from dedicated facilities at the St. George's Hospital since 1999 and from the beginning of 2011 we are based at the University of Surrey in Guildford. Programmes are designed by firstly assessing the clinical, technical, logistical and educational needs of clinicians.

The PCDQ team comprises experienced clinicians who also bring knowledge of "real-world" IT capabilities, and understanding of the nature and pace of what can realistically be changed. Its programmes in diabetes, heart disease, osteoporosis, mental health and chronic kidney disease have been field-tested and run in over twenty-five localities up and down the country.

Prof Simon de Lusignan (more) Head of group Professor of Primary Care & Clinical Informatics Chair in Health Care Management			Prof Terry Desombre (more) Head of the Department of Health Care Management and Policy
Prof Simon Jones (more) Visiting Professor			Prof Matthew Swindells Visiting Professor and Chair of the Departmental Advisory Board
Dr Tom Chan (more) Senior Research Fellow			Dr Imran Rafi (more) GPwSI Genetics and Senior Lecturer Primary Care Education
Dr Aumran Tahir			Jeremy van Vlymen
Antonios Ntasioudis (more) Research Fellow			Mert Senkal Research Fellow
Pushpa Kumarapeli (more) Lecturer, Computing & Information Systems			Olga Dmitrieva
Dr John Nichols (more)			Norman Poh Senior Research Fellow
Dr Gisele Loriggio Borelli-Montigny Doctoral Student - Internal Medicine & Cardiolgy Physician			Harshana Liyanage Research Fellow

Key Task: Data is extracted and processed, and fed back in a non-judgemental educational context. Learning opportunities are created for the whole primary care organisations (PCO), practice and individual clinician. As a by-product disease registers, and the information needed about National Service Framework and quality improvement targets are generated. The academic interest in this work is the development of a programme that requires minimal clinician input to achieve maximum quality improvement.