Study on the surveillance of hospital infection by personal computer.
- Author:
Chul Hun CHANG
;
Han Chul SON
;
Kwang Ok PARK
- Publication Type:Original Article
- Keywords:
Surveillance of hospital infection;
Personal computer;
MICRO program
- MeSH:
Cross Infection*;
Humans;
Methicillin-Resistant Staphylococcus aureus;
Microcomputers*;
Pneumonia;
Wound Infection
- From:Korean Journal of Nosocomial Infection Control
1997;2(1):1-11
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND: An intensive and ongoing surveillance program is effective for preventing the hospital infections. but it is time-consuming to detect all cases of hospital infections. So, labratory-based surveillance was performed with the aid of personal computer. The software 'MICRO' that coded and used privately was written in FoxPro 2.0 code. METHODS: All results of the microbiologic culture were stocked in the software and hospital infections were detected by review d an positive microbiology reports and daily ward rounds with examination of patient progress notes. If there was any suggestion or evidence of outbreak of hospital infections the data were analyzed by the 'MICRO' and reported to hospital infections control committee. RESULTS: We detected the outbreak of nosoccmial pneumonia due to a putative single species of methicillin-resistant Staphylococcus aureus in the neurosurgical ward at May, 1996. The suggestive outbreak of wound infections in the 7th ward at April, 1966 was denied by the 'MICRO'. The possible outbreak of 10th ward at May, 1996 was detected. CONCLUSIONS: We describe a surveillance method that identifies excessive rates of positive culture on patient location culture site, and organism indentification using the 'MICRO'. We were able to monitor patient-to-patient cross-infections and possible breakdowns in proper technique, and expect suggestive outbreak of infections early. These results demonstrate that computer analysis of positive culture rates by 'MICRO' is a sensitive and time-efficient method for detecting potentially preventable hospital infections.
