Pervasive Intelligent Decision Support System - Technology Acceptance in Intensive Care Units

被引:15
|
作者
Portela, Filipe [1 ]
Aguiar, Jorge [1 ]
Santos, Manuel Filipe [1 ]
Silva, Alvaro [2 ]
Rua, Fernado [2 ]
机构
[1] Univ Minho, Algoritmi Ctr, Guimaraes, Portugal
[2] Ctr Hosp Porto, Intens Care Unit, Oporto, Portugal
来源
ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES | 2013年 / 206卷
关键词
TAM; INTCare; Technology Acceptance; Intensive Care; Decision Support System; Pervasive; Technology Assessment; SCORE; MODEL;
D O I
10.1007/978-3-642-36981-0_27
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Intensive Care Units are considered a critical environment where the decision needs to be carefully taken. The real-time recognition of the condition of the patient is important to drive the decision process efficiently. In order to help the decision process, a Pervasive Intelligent Decision Support System (PIDSS) was developed. To provide a better comprehension of the acceptance of the PIDSS it is very important to assess how the users accept the system at level of usability and their importance in the Decision Making Process. This assessment was made using the four constructs proposed by the Technology Acceptance Methodology and a questionnaire-based approach guided by the Delphi Methodology. The results obtained so far show that although the users are satisfied with the offered information recognizing its importance, they demand for a faster system.
引用
收藏
页码:279 / 292
页数:14
相关论文
共 50 条
  • [41] An Intelligent Decision Support System for Lung Cancer Diagnosis
    Alsheikhy A.A.
    Said Y.F.
    Shawly T.
    Computer Systems Science and Engineering, 2023, 46 (01): : 779 - 817
  • [42] The Research of the Design of Intelligent Financial Decision Support System
    Chen Liyu
    Chen Qiang
    PIAGENG 2010: PHOTONICS AND IMAGING FOR AGRICULTURAL ENGINEERING, 2010, 7752
  • [43] An intelligent Decision Support System for Arsenic Mitigation in Bangladesh
    Elahi, Mohammad M.
    Amin, Muhammad I.
    Haque, Mohammad M.
    Islam, Mohammad N.
    Miah, Md. R.
    JOURNAL OF COMPUTERS, 2014, 9 (08) : 1776 - 1786
  • [44] An intelligent decision support system for the design of new products
    Figueroa Perez, J. F.
    Leyva Lopez, J. C.
    Santillan Hernandez, L. C.
    Perez Contreras, E. O.
    DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, 2018, 11 : 995 - 1002
  • [45] An Intelligent Decision Support System to Investment in the Stock Market
    Macedo, J. A.
    Camargo, L. T. O.
    Oliveira, H. C. B.
    Silva, L. E.
    Salgado, R. M.
    IEEE LATIN AMERICA TRANSACTIONS, 2013, 11 (02) : 812 - 819
  • [46] Intelligent Decision Support System for Road Network Planning
    Deng Jun
    Mo Yikui
    2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL IV, 2009, : 139 - +
  • [47] The Study on Intelligent Decision support system for tourism planning
    Wu, Yan
    Zhao, Zhiqiang
    Zhuo, Lihuan
    Xu, Dawei
    2011 AASRI CONFERENCE ON APPLIED INFORMATION TECHNOLOGY (AASRI-AIT 2011), VOL 2, 2011, : 37 - 40
  • [48] An intelligent decision support system for service network planning
    Cheung, W
    Leung, LC
    Tam, PCF
    DECISION SUPPORT SYSTEMS, 2005, 39 (03) : 415 - 428
  • [49] A web-based intensive care clinical decision support system: From design to evaluation
    Ozel, Deniz
    Bilge, Ugur
    Zayim, Nese
    Cengiz, Melike
    INFORMATICS FOR HEALTH & SOCIAL CARE, 2013, 38 (02) : 79 - 92
  • [50] Towards a Medical Intensive Care Unit Decision Support System Based on Intuitionistic Fuzzy Logic
    Jemal, Hanen
    Kechaou, Zied
    Ben Ayed, Mounir
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016), 2017, 557 : 602 - 611