Qualitative Evaluation of IoT-Driven eHealth: KM, Business Models, Deployment and Evolution

被引:4
|
作者
Lokshina, Izabella V. [1 ]
Lanting, Cees J. M. [2 ]
机构
[1] SUNY Coll Oneonta, Oneonta, NY 13820 USA
[2] DATSA Belgium Consulting, Leuven, Belgium
关键词
Business Models; Deployment; Entry Barriers; Evolution; IoT-driven eHealth; Knowledge Management (KM); Limitations; Potential Opportunities; Privacy; Requirements; Security;
D O I
10.4018/IJITN.2018100102
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This article explains that eHealth has major potential, and its adoption may be considered necessary to achieve increased ambulant and remote medical care, increased quality, reduced personnel needs, and reduced costs potential in healthcare. In this paper, the authors try to give a reasonable, qualitative evaluation of IoT-driven eHealth from theoretical and practical viewpoints. They look at associated knowledge management issues and contributions of IoT to eHealth, along with requirements, benefits, limitations and entry barriers. Important attention is given to security and privacy issues. Finally, the conditions for business plans and accompanying value chains are realistically analyzed. The resulting implementation issues and required commitments are also discussed. The authors confirm that IoT-driven eHealth can happen and will happen; however, much more needs to be addressed to bring it back in sync with medical and general technological developments in an industrial state-of-the-art perspective and to recognize and get timely the benefits.
引用
收藏
页码:26 / 45
页数:20
相关论文
共 17 条
  • [1] A Qualitative Evaluation of IoT-driven eHealth: Knowledge Management, Business Models and Opportunities, Deployment and Evolution
    Lokshina, Izabella
    Lanting, Cees J. M.
    [J]. PROCEEDINGS OF THE 51ST ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2018, : 4123 - 4132
  • [2] Integrating IoT-Driven Events into Business Processes
    Kirikkayis, Yusuf
    Gallik, Florian
    Seiger, Ronny
    Reichert, Manfred
    [J]. INTELLIGENT INFORMATION SYSTEMS, CAISE FORUM 2023, 2023, 477 : 86 - 94
  • [3] Modeling, Executing and Monitoring IoT-Driven Business Rules
    Kirikkayis, Yusuf
    Gallik, Florian
    Reichert, Manfred
    [J]. ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2023, EMMSAD 2023, 2023, 479 : 88 - 102
  • [4] Towards IoT-Driven Predictive Business Process Analytics
    Elhami, Erfan
    Ansari, Abolfazl
    Farahani, Bahar
    Aliee, Fereidoon Shams
    [J]. 2020 INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (IEEE COINS 2020), 2020, : 49 - 55
  • [5] Addressing Conceptual Randomness in IoT-Driven Business Ecosystem Research
    Rezac, Fabien
    [J]. SENSORS, 2020, 20 (20) : 1 - 29
  • [6] Value capture in IoT-driven business models: considerations about smart resources and isolating mechanisms in networked environments
    Gretzinger, Susanne
    Royer, Susanne
    Leick, Birgit
    [J]. JOURNAL OF BUSINESS & INDUSTRIAL MARKETING, 2024,
  • [7] Evolution and Adoption of Next Generation IoT-Driven Health Care 4.0 Systems
    Arora, Deepanshu
    Gupta, Shashank
    Anpalagan, Alagan
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2022, 127 (04) : 3533 - 3613
  • [8] Evolution and Adoption of Next Generation IoT-Driven Health Care 4.0 Systems
    Deepanshu Arora
    Shashank Gupta
    Alagan Anpalagan
    [J]. Wireless Personal Communications, 2022, 127 : 3533 - 3613
  • [9] Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios
    d'Hondt, Tim
    Wilbik, Anna
    Grefen, Paul
    Ludwig, Heiko
    Baracaldo, Natalie
    Anwar, Ali
    [J]. PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS ( IOT 2019), 2019,
  • [10] Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges
    Kirikkayis, Yusuf
    Gallik, Florian
    Reichert, Manfred
    [J]. ENTERPRISE DESIGN, OPERATIONS, AND COMPUTING, EDOC 2022, 2022, 13585 : 111 - 127