Adaptation of the Model for Assessment of Telemedicine (MAST) for IoT Telemedicine Services

Internet of Things (IoT) based solutions and services may be used to support and extend the independent living of older adults in their living environments by responding to real needs of caregivers, service providers and public authorities. Telemedicine and telehealth platforms are among the various...

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Bibliographic Details
Published inHuman Aspects of IT for the Aged Population. Applications, Services and Contexts pp. 339 - 349
Main Authors Dafoulas, George E., Pierris, Georgios, Martinez, Santiago, Kvistgaard Jensen, Lise, Kidholm, Kristian
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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Summary:Internet of Things (IoT) based solutions and services may be used to support and extend the independent living of older adults in their living environments by responding to real needs of caregivers, service providers and public authorities. Telemedicine and telehealth platforms are among the various types of IoT services that could support the provision of health services. Current Health Technology Assessment (HTA) models that are used for the evaluation of telehealth and telemedicine services do not consider IoT aspects. HTA models would ideally need to be extended to include IoT platforms, for an optimal introduction of IoT in everyday provision of health and care services. This paper presents an initial adaptation of the Model for Assessment of Telemedicine (MAST) for IoT Telemedicine services based on a literature review of IoT, telemedicine and telehealth services characteristics. MAST involves assessment of outcomes within the following seven domains: Health problem and characteristics of the application, Safety, Clinical effectiveness, Patient perspectives, Economic aspects, Organizational aspects, Socio-cultural, ethical and legal aspects. The domains of the characteristics of the application, socio-cultural, safety and ethical and legal aspects were identified as those to be adapted to cover new challenges associated to IoT services.
ISBN:9783319585352
3319585355
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-58536-9_27