Decision support system for the analysis of hospital operation indicators

CMUR > College of Public Health > Department and Graduate of Health Services Administration > Proceedings > Item 310903500/27126

Please use this identifier to cite or link to this item: http://ir.cmu.edu.tw/ir/handle/310903500/27126

Title:	Decision support system for the analysis of hospital operation indicators
Authors:	Wu, F;Lin, JR;Tsai, WC
Contributors:	公共衛生學院醫管所 Natl Chung Cheng Univ, Dept Management Informat Syst, Chiayi 621, Taiwan;China Med Coll, Inst Hlth Serv Management, Taichung, Taiwan
Date:	2002
Issue Date:	2010-09-20 13:53:18 (UTC+8)
Publisher:	NEW YORK ACAD SCIENCES
Abstract:	The inauguration of national health insurance (NHI) in many countries and their worsening financial condition has increased the sensitivity to operational cost and efficiency in hospitals. For several years, hospitals have been monitoring their operations by analyzing the financial and operational reports that are provided. Because of the rapidly changing character of the medical industry, statistical data shown on paper are no longer sufficient for decision makers. This paper describes a decision support system (DSS) for hospital administrators to assist in analyzing their operations efficiently and precisely. In hospitals, operational data of outpatients and inpatients are now stored on computers, resulting in much easier and faster data acquisition for administrators. The proposed system makes suggestions to hospital administrators and is able to self-learn to improve its future usefulness. With the dual capabilities of integrating evaluations and data collecting, the system can assist administrators in discovering and resolving problems quickly. The system provides multidimensional and multilevel analyses, by using data warehousing techniques, and generates appropriate advice to users by employing decision-making methodology. The self-learning function of the system makes it work like an expert, continually modifying its content (knowledge) and generating advice that is promptly updated to accord with changes in the medical industry.
Relation:	TECHNIQUES IN BIOINFORMATICS AND MEDICAL INFORMATICS 980():298-305
Appears in Collections:	[Department and Graduate of Health Services Administration] Proceedings

Files in This Item:

There are no files associated with this item.

Loading...