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Evolution of a register recall system to enable the delivery of better quality of care in general practiceCentre for General Practice Integration Studies, School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW 2052, Australia, d.penn{at}unsw.edu.au
Centre for General Practice Integration Studies, School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW 2052, Australia, j.burns{at}unsw.edu.au
Centre for General Practice Integration Studies, School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW 2052, Australia, a.georgiou{at}unsw.edu.au
Centre for General Practice Integration Studies, School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW 2052, Australia, g.powell-davies{at}unsw.edu.au
Centre for General Practice Integration Studies, School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW 2052, Australia, m.f.harris{at}unsw.edu.au Australian Divisions of General Practice have a key role to play in supporting general practitioners (GPs) to provide proactive, preventive care for their patients with cardiovascular disease (CVD) and diabetes. They can achieve this by providing them with quality improvement information generated by population health monitoring tools such as CARDIAB®TM. CARDIAB®TM has prompted the development of standard minimum clinical datasets, enabled recording, monitoring and audit of quality of care and health outcomes for diabetes and cardiovascular patients who are locally enrolled in Division programs. It has also supported the improvement of services within general practice and local secondary care services. GPs have been able to audit their clinical performance and monitor quality of care and health outcomes in diabetes and cardiovascular disease. This article describes the evolution of the CARDIAB®TM database from the grass roots level to a nationally accepted database.
Key Words: Australia cardiovascular disease diabetes general practice minimum datasets registers
Health Informatics Journal, Vol. 10, No. 3,
165-176 (2004) This article has been cited by other articles:
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