在過(guò)去的幾十年中,物聯(lián)網(wǎng)醫(yī)療保健（loTH）的發(fā)展給醫(yī)療保健領(lǐng)域帶來(lái)了巨大進(jìn)步。loTH的先發(fā)制人,基于場(chǎng)景且易于訪問(wèn)的特點(diǎn)改進(jìn)了傳統(tǒng)的藥物系統(tǒng),并在患者和醫(yī)護(hù)人員中引發(fā)了巨大的吸引力。loTH通過(guò)給在家或偏遠(yuǎn)地區(qū)的患者提供便利,極大地緩解了當(dāng)前醫(yī)療資源短缺和分布不均的情況。但是隨著市場(chǎng)的發(fā)展,消費(fèi)者面對(duì)具有不同功能和特性的智能醫(yī)療保健服務(wù)時(shí),選擇合適的服務(wù)變得非常困難。業(yè)界最近面臨的一個(gè)主要問(wèn)題是如何鼓勵(lì)推行智能醫(yī)療服務(wù),并讓顧客采納。這項(xiàng)研究的主要目標(biāo)是利用所提出的模型,來(lái)指導(dǎo)智能醫(yī)療服務(wù)提供商優(yōu)化服務(wù)和營(yíng)銷策略。本文基于IMADM模型,構(gòu)建了消費(fèi)者采用智能醫(yī)療服務(wù)的影響因素系統(tǒng)。該模型采用決策與評(píng)估實(shí)驗(yàn)室（DEMATEL）流程、DEMATEL分析網(wǎng)絡(luò)（DANP）方法和改進(jìn)的VIseKriterijumska Optimizacija I Kompromisno Resenje（VIKOR）方法相結(jié)合的改進(jìn) MADM 模型,討論了促進(jìn)智能醫(yī)療系統(tǒng)技術(shù)采用的標(biāo)準(zhǔn)/維度之間的相互依賴和反饋效應(yīng)、最優(yōu)替代選擇以及系統(tǒng)修改。最后,本文在實(shí)證研究的基礎(chǔ)上對(duì)提出的模型進(jìn)行了評(píng)估,并進(jìn)行了綜合評(píng)... 

【文章來(lái)源】：西南科技大學(xué)四川省

【文章頁(yè)數(shù)】：84 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
摘要
Abstract
Chapter 1 Introduction
    1.1 Raising Research Questions
        1.1.1 Research Background
        1.1.2 Research Purpose
        1.1.3 Research Significance
    1.2 Status of research
        1.2.1 Research on Intelligent Medicine
        1.2.2 Research on Smart Healthcare Services
        1.2.3 Research on Consumer Adoption of Smart Healthcare Services
        1.2.4 Review of Research Status
    1.3 Research content and structural arrangement
        1.3.1 Research content
        1.3.2 Structural Arrangement
    1.4 Research methods and technical routes
        1.4.1 Research methods
        1.4.2 Technical Route
Chapter 2 Defining Factors Influencing Consumers' Adoption of Smart Healthcare Services
    2.1 Analysis of the Connotation and Characteristics of Smart Healthcare Services
        2.1.1 Connotation of smart healthcare services
        2.1.2 Features of Smart Healthcare Services
    2.2 Analysis of consumer adoption
        2.2.1 Consumer purchase decision process
        2.2.2 Analysis of Consumer Adoption Behavior Based on UTAUT
    2.3 Identification of influencing factors for consumer adoption of smart healthcare services
        2.3.1 Construction of first-level indicators of influencing factors
        2.3.2 Construction of secondary indicators of influencing factors
    2.4 Survey
    2.5 Summary of this chapter
Chapter 3 Consumers Adoption of Smart Healthcare Services Evaluation Model Based on Improved MADM
    3.1 Traditional model drawbacks
    3.2 Modification in Traditional MADM Model
    3.3 Methodology of Proposed System
        3.3.1 Questionnaire design
        3.3.2 DEMATEL-DANP-based interactions and weights of influencing factors
            3.3.2.1 Impact Network Diagram Construction
            3.3.2.2 Determination of weights of key influencing factors
        3.3.3 Evaluation of intelligent healthcare services based on improved VIKOR method
        3.3.4 MATLAB Code for VIKOR algorithm
Chapter 4 Model Inspection and Empirical Analysis
    4.1 Pragmatic Case Study for Consumer Adoption of Smart Healthcare Services based on IMADM
    4.2 Proposed System Result Analysis
        4.2.1 Data sources and collection
        4.2.2 Identify key influencing factors
        4.2.3 Identify the interactions of key influencing factors
        4.2.4 Construction of INRM between Dimensions and Factors
        4.2.5 Key influence factors weights calculation
        4.2.6 Gap rates Identification in Smart Healthcare Services
    4.3 Traditional vs Proposed VIKOR method analysis
    4.4 Discussions and Consequences
    4.5 Consumer Adoption and Marketing Recommendations for Smart Healthcare Services
Conclusion and Remarks
Acknowledgements
Dedication
Bibliography
Appendix Ⅰ Identification Questionnaire for Influencing Factors of Consumer Adoption in Smart Healthcare Services
Appendix Ⅱ Factors affecting consumer adoption of smart healthcare services Interaction identification questionnaire


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