Implementation of IoMT-Assisted Smart Healthcare Monitoring for Clinical Infectious Diseases

Contactless interactions are more common in recent years due to advances in technology and consumer demand for the convenience of touch-free transactions. In this work, a nursing assist for hospitals is proposed which can reduce the risk of infection by decreasing the interactions with the patients. Nurses have to take rounds at least twice a day for the health check-up and doctors spend a part of their consultation time for the daily check-up of each in-patient. Therefore, the proposed device assists the nurses by monitoring the patient's health such as measuring temperature, heart rate and oxygen saturation level periodically using sensors. The medical report of the patient can be stored in the cloud and accessed from the nursing station. From the database, the doctors can analyze the patient's health easily and can change the way of treatment if needed. The proposed device here can avoid the systematic and tedious rounds by nurses and doctors and also improves the patient satisfaction. This machine could be a key system to help and drive down the costs of care and human labour.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/tensymp61132.2024.10752233
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of IoMT-Assisted Smart Healthcare Monitoring for Clinical Infectious Diseases

S. Krishnapriya, Binu Manohar, J Jose, Elisabeth George et al.
Artificial Intelligence in Healthcare
article

Implementation of IoMT-Assisted Smart Healthcare Monitoring for Clinical Infectious Diseases

S. Krishnapriya, Binu Manohar, J Jose, Elisabeth George, Dewmol Johny, Sariga
article en

Abstract

Contactless interactions are more common in recent years due to advances in technology and consumer demand for the convenience of touch-free transactions. In this work, a nursing assist for hospitals is proposed which can reduce the risk of infection by decreasing the interactions with the patients. Nurses have to take rounds at least twice a day for the health check-up and doctors spend a part of their consultation time for the daily check-up of each in-patient. Therefore, the proposed device assists the nurses by monitoring the patient's health such as measuring temperature, heart rate and oxygen saturation level periodically using sensors. The medical report of the patient can be stored in the cloud and accessed from the nursing station. From the database, the doctors can analyze the patient's health easily and can change the way of treatment if needed. The proposed device here can avoid the systematic and tedious rounds by nurses and doctors and also improves the patient satisfaction. This machine could be a key system to help and drive down the costs of care and human labour.

Christ University (IN)
Partnerships for the goals
Openalex Percentile: Top 71%
Artificial Intelligence in Healthcare
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.