Open AccessDeveloping the Method of Server Controlled Outcomes Management and Variance Analysis
Author(s) -
Kazuyuki Matsumoto,
Tetsuya Tanioka,
Kyoko Osaka,
Ai Kawamura,
Syu-ichi Ueno,
Fuji Ren,
Yoichiro Takasaka,
Alan Barnard,
Rozzano C. Locsin,
Mitsuko Omori
Publication year - 2009
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2008.12.076
Subject(s) - variance (accounting) , process (computing) , computer science , quality (philosophy) , quality management , process management , health care , risk analysis (engineering) , management system , operations management , medicine , business , engineering , philosophy , accounting , epistemology , economics , economic growth , operating system
This paper is to describe a way to develop the Psychoms process for mental health patient management and variance analysis system has been developed using artificial intelligence. Although it is agreed that there is a need for clinical pathway variance analysis, methods for creating a system are less well defined. The procedure and systematic process described aims to improve patients' quality of life through consistent and timely care. Ultimately, its potential influence is to assist in the improvement of quality health care services. This paper illustrates a method of outcomes management and variance analysis as the prospective development of future research.
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