INTERNET OF MEDICAL THINGS (IOMT) AND INTEGRATED HOME ASSISTANCE

This article furnishes an overview of the actual IoT technology used in integrated home assistance. It delineates how the IoMT devices are improving the implementation of integrated home assistance services, and how the IoT technology can influence the global healthcare assistance in upcoming years aiding healthcare systems by supplying secure and effective cures in a complementary or alternative way, even during periods of crisis or health epidemics, like that of "COVID-19." Healthcare assistance based on IoT and the use of deep machine learning can in fact help healthcare workers by giving them new and improved diagnostic capabilities. The combination of machines and clinical experience improves the reliability of the services of integrated home assistance. Artificial intelligence and deep learning can also optimize disease management, provide large amounts of data, and generate analytics from IoMT devices. Transforming the delivery of integrated home assistance healthcare services in this way, thanks to IoT, is essential for improving self-management for people with chronic illnesses and providing specialized care for people located far away or at home.

Institutions

Publication Details

Journal
EuroMediterranean Biomedical Journal
Published
2025-10-15
DOI
https://doi.org/10.3269/1970-5492.2021.16.18
Citations
2
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

INTERNET OF MEDICAL THINGS (IOMT) AND INTEGRATED HOME ASSISTANCE

2 citations
EuroMediterranean Biomedical Journal
Digital Mental Health Interventions
article

INTERNET OF MEDICAL THINGS (IOMT) AND INTEGRATED HOME ASSISTANCE

article en
2 citations

Abstract

This article furnishes an overview of the actual IoT technology used in integrated home assistance. It delineates how the IoMT devices are improving the implementation of integrated home assistance services, and how the IoT technology can influence the global healthcare assistance in upcoming years aiding healthcare systems by supplying secure and effective cures in a complementary or alternative way, even during periods of crisis or health epidemics, like that of "COVID-19." Healthcare assistance based on IoT and the use of deep machine learning can in fact help healthcare workers by giving them new and improved diagnostic capabilities. The combination of machines and clinical experience improves the reliability of the services of integrated home assistance. Artificial intelligence and deep learning can also optimize disease management, provide large amounts of data, and generate analytics from IoMT devices. Transforming the delivery of integrated home assistance healthcare services in this way, thanks to IoT, is essential for improving self-management for people with chronic illnesses and providing specialized care for people located far away or at home.

EuroMediterranean Biomedical JournalVol. 16
Istituto Euro Mediterraneo di Scienza e Tecnologia (IT)
Partnerships for the goals
Openalex Percentile: Top 100%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

INTERNET OF MEDICAL THINGS (IOMT) AND INTEGRATED HOME ASSISTANCE · EuroMediterranean Biomedical Journal (2025) | TGRS Research Map | TGRS