An Intelligent Healthcare Decision Support System

Li Tao, Jiming Liu

Research output: Chapter in book/report/conference proceedingChapter

Abstract

In the previous chapters, we showed how to systematically utilize the four specific methods, i.e., Structural Equation Modeling (SEM)-based analysis, integrated prediction, service management strategy design and evaluation, and behavior-based autonomy-oriented modeling, to address practical healthcare service management problems. This chapter presents an intelligent healthcare decision support (iHDS) system that implements the four methods to develop, analyze, investigate, support, and provide advice for healthcare-related decisions. The iHDS system provides the architecture and components for user interactions, data collection and processing, data-driven inferences and simulations, and decision analytics and support to generate solutions for various healthcare analytics and decision-making problems. This chapter also describes two cases to illustrate how the iHDS system works to address practical healthcare analytics problems. One case illustrates how the components and methods work to generate adaptive solutions for allocating time blocks in operating rooms (ORs), while the other addresses the need for adaptive decision support in regional healthcare resource allocation that has the advantage of reducing healthcare performance disparities.
Original languageEnglish
Title of host publicationHealthcare Service Management: A Data-Driven Systems Approach
EditorsLi Tao, Jiming Liu
PublisherSpringer, Cham
Chapter8
Pages131–154
Number of pages24
Edition1st
ISBN (Electronic)9783030153854
ISBN (Print)9783030153830
DOIs
Publication statusPublished - 9 May 2019

Publication series

NameHealth Information Science
ISSN (Print)2366-0988
ISSN (Electronic)2366-0996

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