NDLI: Chain of care and its optimization decisions

Content Provider	IEEE Xplore Digital Library
Author	Bingbing Zhang Qiang Su
Copyright Year	2014
Description	Author affiliation: Sch. of Econ. & Manage., Tongji Univ., Shanghai, China (Bingbing Zhang; Qiang Su)
Abstract	The health care is the decisive factor for people's health and life safety. The contradiction between the demand of integrated medical and disciplines subdivision becoming more and more obvious, many diseases relying on only a medical specialty is not enough. For realizing the patient-oriented medical service objective, it is necessary to design the chain of care involved in the integration of multidisciplinary disease diagnosis and treatment methods, which covered different stages of the whole process including Early Prevention, Pre-hospital emergency, In-hospital Treatment, Rehabilitation and so on. The decision quality of the key points of chain of care has a significant effect on the overall quality of health care services. Based on collecting and organizing literature, there are still many deficiencies in previous studies. This paper intends to discuss the optimization and improvement of disease decision on this: to further study on disease decision problem systematically and to explore the decisions optimization of key points of chain of care. In view of the present decision technology is low efficiency, lack of flexibility and adaptability, this paper focus on the disease decisions optimization with data mining method.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	1
Ending Page	5
File Size	230019
Page Count	5
File Format	PDF
e-ISBN	9781479931347
DOI	10.1109/ICSSSM.2014.6943413
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	treatment data mining Artificial neural networks Predictive models diagnosis Data mining Medical diagnostic imaging Optimization Diseases Cancer decision optimization
Content Type	Text
Resource Type	Article

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