Development of Customer Relationship Management System in the Healthcare Domain Using Data Mining / 대한의료정보학회지
Journal of Korean Society of Medical Informatics
;
: 303-310, 2004.
Article
in Korean
| WPRIM
| ID: wpr-89248
ABSTRACT
OBJECTIVE:
To provide medicare services for patients demands satisfyingly, immediate introduction of the Customer Relationship Management(CRM) is raised inevitable. In this paper we proposed that the minimizing the hospital losses by cut down the rate of cancelation of the hospital reservation, to secure patients as clients.METHODS:
And to implement the data mining-based healthcare customer relationship management system applied from the back propagation algorithm of the artificial neural networks technique and the Feature GENeration(FGEN) algorithm of the decision tree technique.RESULTS:
In this paper we divided a patient to an appropriate group through a data mining process and classified more correct customer through a campaign process.CONCLUSION:
These results would be essential for new patients to enhance hospital reliability, for hospital to select profitable patients with high loyalty and to manage patients efficiently.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Decision Trees
/
Medicare
/
Delivery of Health Care
/
Data Mining
Type of study:
Prognostic study
Limits:
Humans
Language:
Korean
Journal:
Journal of Korean Society of Medical Informatics
Year:
2004
Type:
Article
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