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33 Number 2: >>
HIM in special
health services |
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Register–recall
systems: tools for chronic disease management in general practice
Andrew Georgiou, Joan Burns, Danielle Penn, Fernando Infante, Mark
Harris [
PDF ]
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.
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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 [
PDF ]
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.
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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 [
PDF ]
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.
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