loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Risk Mining in Hospital Information Systems
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
Shusaku Tsumoto, Shimane University, Japan
Kimiko Matsuoka, Osaka Prefectural General Hospital,
Shigeki Yokoyama, Koden Industry, Tokyo, Japan
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.
Citation:
Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, "Risk Mining in Hospital Information Systems," icdmw, pp.699-704, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.