NDLI: Collaborative Intelligence for Intelligent Diagnosis Systems in Hospital Environment

Content Provider	IEEE Xplore Digital Library
Author	Sung Ho Ha Zhenyu Zhang
Copyright Year	2010
Abstract	Emergency Departments (ED) in a hospital is a complex unit where the fight between life and death is always in a breathing time. The ED has been frustrated by the problem of overcrowding and long time waiting for over decades. With the development of computer technology, various kinds of information systems have appeared and make people work more effectively. Emergency Department Information Systems (EDIS) have been heralded as a “must” for the modern ED and using of the EDIS can enhance patients care, decrease the waiting time, and reduce the situation of overcrowding. Data mining techniques has been using in medical researches for many years and has been found to be quite effective. The objective of this paper is to design the collaborative intelligence for interactive diagnosis systems as part of EDIS. Based on the patients flow in the ED, we utilize data mining techniques to generate predictive models to help physicians make diagnosis faster and more accurately. By using this decision-supporting system, physicians can work more effectively and the waiting times in ED can decrease.
Starting Page	532
Ending Page	535
File Size	328542
Page Count	4
File Format	PDF
ISBN	9781424453979
e-ISBN	9781424453986
DOI	10.1109/WKDD.2010.128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-09
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hospitals Collaboration data mining medical diagnosis intelligent systems Data mining emergency department Intelligent systems Collaborative intelligence
Content Type	Text
Resource Type	Article

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