Cited by 7Internet of Things and AIInnovation in Digital Healthcare SystemsIoT and Edge/Fog Computing

A Process Modelling and Analytic Hierarchy Process Approach to Investigate the Potential of the IoT in Health Services

Tsiounia, K., Dimitrioglou, N. G., Kardaras, D., Barbounaki, S. G.·2019·IFMBE Proceedings

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Registry

Crossref · 10.1007/978-981-10-9035-6_70

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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  • The IoT and its application for healthcare management services can be divided into three steps: i) gain access to the location of a patient or healthcare staff ii) to identify and authenticate an individual, and iii) to automate data collection using sensory devices.

    “The IoT and its application for healthcare management services can be divided into three steps [142]: i) gain access to the location of a patient or healthcare staff ii) to identify and authenticate an individual, and iii) to automate data collection using sensory devices.”

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Authors
Tsiounia, K., Dimitrioglou, N. G., Kardaras, D., & Barbounaki, S. G.
Affiliations
  • Athens University of Economics and Business (GR)
  • National Technical University of Athens (GR)
  • Merchant Marine Academy (GR)
Corresponding author
Dimitrioglou, N. G.
Venue
IFMBE Proceedings
Published
2018-05-30
Pages
381-386
ISSN
  • 1433-9277 (ISSN-L)
  • 1680-0737
OpenAlex
W2810714656
Cited by
7
References
7
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1
FWCI
0.59
Type
conference paper
Language
en
Open access
closed
Locations
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
Internet of Things, health services, e-health, health services quality, workflow modeling, process modeling, analytic hierarchy process, multi-criteria decision making, health care delivery, patient empowerment

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