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.
|Title of host publication||Healthcare Service Management: A Data-Driven Systems Approach|
|Editors||Li Tao, Jiming Liu|
|Number of pages||24|
|Publication status||Published - 9 May 2019|
|Name||Health Information Science|