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Volume 33 Number 2: >>  HIM in special health services
 
Register–recall systems: tools for chronic disease management in general practice
Andrew Georgiou, Joan Burns, Danielle Penn, Fernando Infante, Mark Harris 
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Abstract
The Divisions Diabetes and Cardiovascular Disease Quality Improvement Project (DDCQIP) is a national project that aims to promote quality improvement initiatives among Divisions of General Practice. DDCQIP has investigated the growth of Division-based diabetes and cardiovascular disease register–recall systems and the role they play in promoting evidence-based structured care within general practice. In the period 2000-2002, an increase in the number of GPs using register–recall systems and the rise in the number of active registered patients have made it possible to monitor quality of care and health outcome indicators, and contributed to the growth of a Division-based population health program.

 


Health Informatics and Health Information Management in maternal and child health services
Hai Phung, Lis Young, Mai Tran, Khin Than Win, Carole Alcock, Ken Hillman 
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Abstract
In November 1997, the South Western Sydney Area Health Service launched the Mother and Infant Network (MINET). The key objective of MINET is to develop an integrated clinical data network which has the capacity to inform and support a continuum of care for the population of all mothers, infants and children. The MINET data network integrates in-patient services, ambulatory services, and community-based services. The focus of this article is the development and implementation of MINET with reference to the crucial role of data linkage and health informatics in health outcomes/health services research.


Electronic health record system risk assessment: a case study from the MINET 
Khin Than Win, Hai Phung, Lis Young, Mai Tran, Carole Alcock, Ken Hillman 
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Abstract
This article discusses the risk assessment of a health information system. A case study was conducted at the South Western Sydney Area Health Service to examine the potential risks of the Maternal and Infant Network (MINET) health information system using Failure Mode Effect Analysis (FMEA). FMEA was conducted by utilising safety attributes identified by the authors. Potential failure modes of the system were identified by the study. From this study, it can be concluded that FMEA is an appropriate risk-assessment method for MINET.


© 2008 Health Information Management Journal of the Health Information Management Association of Australia Ltd