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
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