Rule-based medical decision support portal for the emergency department

I. Chin Wu, Tzu Li Chen, Yen Yi Feng, Ya Ling Cheng, Yung Chih Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Hospital Emergency Department (ED) crowding has led to an increase in patients’ waiting times; thus, solving this problem requires a better understanding of a hospital’s patient flow and the behaviors of patients. Existing research on ED crowding is sparse and has tended to focus on the present crowding state. Recent studies have addressed the importance of analyzing the length of stay (LOS) to understand the behaviors of patients in the ED. In this research, we proposed a rule-based data-mining approach to investigate the relationship between various types of patient behaviors and their LOS, and to build a model to predict patient LOS. The objective of this study is to build an interactive decision support system (DSS) for Mackay Memorial Hospital, which has the second-largest ED in Taiwan and is a representative institute. Accordingly, the aim of this study is twofold (1) building the DSS based on the proposed medical data-mining process in the ED and (2) visualizing the extracting rules and the statistical data in the proposed rule-based medical decision support (R-MDS) visualization portal. We introduce the system framework with associated modules in this study. We aim to integrate domain knowledge of the hospital ED with the data-mining technique to develop the system and provide interactive DSS using modern visualization techniques. We also believed that the qualified rules can be validated effectively and efficiently by experts with the aid of the proposed system.

Original languageEnglish
Title of host publicationHCI in Business - 2nd International Conference, HCIB 2015 Held as Part of HCI International 2015, Proceedings
EditorsFiona Fui-Hoon Nah, Chuan-Hoo Tan
PublisherSpringer Verlag
Pages640-652
Number of pages13
ISBN (Print)9783319208947
DOIs
Publication statusPublished - 2015 Jan 1
Externally publishedYes
Event2nd International Conference on HCI in Business, HCIB 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: 2015 Aug 22015 Aug 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9191
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on HCI in Business, HCIB 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period15/8/215/8/7

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Keywords

  • Data mining
  • Decision support
  • ED crowding
  • Length of stay
  • Rule-based

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Wu, I. C., Chen, T. L., Feng, Y. Y., Cheng, Y. L., & Chuang, Y. C. (2015). Rule-based medical decision support portal for the emergency department. In F. F-H. Nah, & C-H. Tan (Eds.), HCI in Business - 2nd International Conference, HCIB 2015 Held as Part of HCI International 2015, Proceedings (pp. 640-652). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9191). Springer Verlag. https://doi.org/10.1007/978-3-319-20895-4_60