DocumentCode :
3261312
Title :
Risk Mining in Hospital Information Systems
Author :
Tsumoto, Shusaku ; Matsuoka, Kimiko ; Yokoyama, Shigeki
Author_Institution :
Dept. of Med. Informatics, Shimane Univ., Izumo
fYear :
2006
fDate :
Dec. 2006
Firstpage :
699
Lastpage :
704
Abstract :
To err is human. How can we avoid near misses and achieve medical safety? From this perspective, we analyzed the nurses\´ incident data by data mining with the "concept of quality control" that near misses are produced by the system rather than individuals. Nurses\´ incident data were collected during the 18 months at the emergency room. Significant rules (if-then rules) indicated that the medication errors are likely to occur when mental concentration is disrupted by interruption of work, etc. Based on the results of the analysis, the nurses\´ medication check system was improved. During the last 6 months, the check system was put into effect. The frequency of the medication errors decreased to about one-twenties or less. It was considered that the data mining analysis contributes the decision support on the improvement of incidents
Keywords :
data mining; decision support systems; knowledge based systems; medical information systems; risk analysis; data mining; decision support; hospital information systems; if-then rules; medical safety; medication check system; medication errors; nurses incident data; quality control concept; risk mining; Biomedical informatics; Data analysis; Data mining; Frequency; Hospitals; Humans; Information systems; Laboratories; Risk analysis; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
Type :
conf
DOI :
10.1109/ICDMW.2006.142
Filename :
4063715
Link To Document :
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