Data Mining of Inspection-Time Rules in HIS with DeepSee

Inspection department is an important sector in the hospital as one of the most visited sectors. Thus the arrangement of manpower in inspection sector and reservation of enforced-time for inspections are very important. This study analyze Inspection-time in Hospital Information System (HIS) by data mining approach in order to help hospital managers improve efficiency. We first build a model based on Inspection-time theme, and then analyze the factors that influence the access number and waiting-time for the inspections in radiology sector in three aspects: the weekdays, the hours and the vocations. The knowledge discovery and data analysis is based on Intersystem embedded real-time business intelligence (BI) tool DeepSee.

[1]  W. T. Lin,et al.  Improving scheduling of emergency physicians using data mining analysis , 2009, Expert Syst. Appl..

[2]  hai-yan yu,et al.  Data mining analysis of inpatient fees in Hospital Information System , 2009, 2009 IEEE International Symposium on IT in Medicine & Education.

[3]  Richard J. Roiger,et al.  Data Mining: A Tutorial Based Primer , 2002 .

[4]  Gloria E. Phillips-Wren,et al.  Mining lung cancer patient data to assess healthcare resource utilization , 2008, Expert Syst. Appl..

[5]  Krzysztof J. Cios,et al.  Uniqueness of medical data mining , 2002, Artif. Intell. Medicine.

[6]  Nada Lavrac,et al.  Data mining and visualization for decision support and modeling of public health-care resources , 2007, J. Biomed. Informatics.

[7]  H. Koh,et al.  Data mining applications in healthcare. , 2005, Journal of healthcare information management : JHIM.