DocumentCode :
3081196
Title :
Risk Mining in Hospital Information Systems
Author :
Tsumoto, Shusaku ; Matsuoka, Kimiko ; Yokoyama, Shigeki
Author_Institution :
Shimane Univ., Izumo
Volume :
6
fYear :
2006
fDate :
8-11 Oct. 2006
Firstpage :
4802
Lastpage :
4806
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; medical information systems; data mining; decision support; emergency room; hospital information systems; medical safety; medication errors; mental concentration; nurses incident data; nurses medication check system; quality control; risk mining; Cybernetics; Data analysis; Data mining; Frequency; Hospitals; Humans; Information systems; Laboratories; Risk analysis; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
Type :
conf
DOI :
10.1109/ICSMC.2006.385065
Filename :
4274674
Link To Document :
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