6533b851fe1ef96bd12a962c
RESEARCH PRODUCT
Adaptation of the Model for Assessment of Telemedicine (MAST) for IoT Telemedicine Services
Georgios PierrisSantiago MartinezKristian KidholmLise Kvistgaard JensenGeorge Dafoulassubject
TelemedicineKnowledge managementComputer sciencebusiness.industryClinical effectiveness030503 health policy & servicesHealth technology02 engineering and technologyTelehealthService provider03 medical and health sciencesHealth services0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0305 other medical scienceTelecommunicationsbusinessInternet of ThingsIndependent livingdescription
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.
year | journal | country | edition | language |
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2017-01-01 |