The
healthcare
industry
has
experienced
a
significant
digital
revolution
in
recent
years.
way
doctors
and
hospitals
provide
care
for
their
patients
is
changing
as
result
of
technologies
like
IoT
devices
monitors.
This
good
development
that
assisting
streamlining
healthcare,
reducing
expenses
enhancing
access
to
vital
medical
information.
pharmaceutical
production
process
can
be
optimized
with
the
use
Internet
Things
(IoT)
technology,
it
enables
professionals
patient
data
quickly
effectively.
According
Markets
study,
market
expected
reach
${{\$
}}94.2$
billion
by
2026
[1].
We
refer
WoS
articles
from
past
seven
years,
which
were
published
between
2016
2022.
"bibliometric"
library
used
RStudio
environment
conduct
whole
analysis.
are
able
find
outcomes
using
different
aspects
sources,
year,
research
gaps,
citations,
impact,
publisher
etc.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(5), P. 1876 - 1876
Published: Feb. 25, 2024
This
comprehensive
review
paper
explores
the
intricate
integration
of
biosensors
with
multi-hop
Internet
Things
(IoT)
systems,
representing
a
paradigm
shift
in
healthcare
through
real-time
remote
patient
monitoring.
The
strategic
deployment
different
locations
medical
facilities,
intricately
connected
to
multiple
microcontrollers,
serves
as
cornerstone
establishment
robust
IoT
networks.
highlights
role
this
network,
which
efficiently
facilitates
seamless
transmission
vital
health
data
centralized
server.
Crucially,
utilization
cloud
connectivity
emerges
linchpin
integration,
providing
secure
and
scalable
platform
for
cloud-based
approach
not
only
improves
accessibility
critical
information
but
also
transcends
physical
limitations,
allowing
providers
monitor
patients
from
any
location.
transformative
potential
overcoming
traditional
limitations
Trends in Sciences,
Journal Year:
2024,
Volume and Issue:
21(8), P. 8287 - 8287
Published: June 1, 2024
The
spread
of
infectious
diseases
such
as
COVID-19
depends
on
complex
fluid
dynamics
interactions
between
pathogens
and
phases,
including
individual
droplets
multiphase
clouds.
Understanding
these
is
crucial
for
predicting
controlling
disease
spread.
This
applies
to
human
animal
exhalations,
coughs
sneezes,
well
bursting
bubbles
that
create
micron-sized
in
various
indoor
outdoor
environments.
By
exploring
case
studies
this
regard,
study
examines
the
emerging
field
transmission,
focusing
flows,
interfacial
turbulence,
pathogens,
traffic,
aerosol
ventilation,
breathing
microenvironments.
These
results
indicate
increased
ventilation
rates
local
methods
can
effectively
reduce
concentration
SARS-CoV-2-laden
aerosols
immediate
spaces
individuals.
In
a
displacement-ventilated
room,
both
neutral
unstable
conditions
were
more
effective
removing
breathed
from
air,
regardless
presence
test
subjects.
However,
stable
may
increase
risk
infection
individuals
living
confined
spaces.
Thus,
findings
are
useful
providing
practical
guidance
managing
airborne
infections.
HIGHLIGHTS
Fluid
affect
transmission
explored
flow,
dispersion,
respiratory
zones
Increased
SARS-CoV-2
Displacement
eliminates
under
Cramped
damp
environments
GRAPHICAL
ABSTRACT
Frontiers in Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: April 4, 2025
Introduction
The
advent
of
sixth-generation
(6G)
wireless
communication
technology
promises
to
transform
various
sectors,
with
healthcare—particularly
smart
hospitals—standing
gain
significantly.
This
study
investigates
the
transformative
potential
6G
in
healthcare
by
exploring
its
architectural
foundations
and
enabling
technologies.
Methods
A
comprehensive
review
analysis
were
conducted
on
current
technological
trends,
frameworks,
integration
strategies
relevant
6G-enabled
systems.
proposed
model
integrates
key
technologies
such
as
Internet
Things
(IoT),
artificial
intelligence
(AI),
blockchain,
robotics,
telemedicine,
advanced
data
analytics
within
context
hospitals.
Results
findings
suggest
that
6G's
ultralow
latency,
massive
device
connectivity,
high
throughput
can
dramatically
enhance
patient
care,
real-time
monitoring,
hospital
operational
efficiency.
6G-based
fosters
seamless
between
medical
devices
systems,
intelligent
decision-making
optimized
resource
allocation.
Discussion
Despite
promising
benefits,
several
challenges
identified,
including
privacy
security
risks,
system
interoperability,
ethical
implications.
underscores
critical
importance
robust
regulatory
frameworks
standardized
protocols
ensure
secure
deployment
settings.
Conclusion
By
providing
a
forward-looking
opportunities
associated
6G-powered
hospitals,
this
research
offers
valuable
insights
into
evolving
landscape
digital
redefine
care
management
near
future.
ACM Computing Surveys,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 5, 2025
Wearable
technologies
have
become
a
significant
part
of
the
healthcare
industry,
collecting
personal
health
data
and
extracting
valuable
information
for
real-time
assistance.
This
review
paper
analyzes
thirty-five
scientific
publications
on
driving
monitoring
with
IoT
wearable
device
applications.
These
papers
were
considered
in
quantitative
qualitative
analysis
using
Natural
Language
Processing
framework
PRISMA
methodology
to
filter
search
results.
The
selected
published
between
January
2010
May
2024
one
following
databases:
IEEE
Xplore,
Springer,
ScienceDirect
(i.e.,
Elsevier),
Association
Computing
Machinery
(ACM),
Multidisciplinary
Digital
Publishing
Institute
(MDPI),
or
PubMed
Central.
considers
population,
methods,
hardware,
features,
communications.
research
highlights
that
collected
from
numerous
sensors
is
processed
accessible
database
server
various
uses,
such
as
informing
professional
careers
assisting
users.
suggests
robust
efficient
devices
applications
can
be
designed
considering
principles
presented
this
review.
Information,
Journal Year:
2023,
Volume and Issue:
14(12), P. 635 - 635
Published: Nov. 28, 2023
In
the
rapidly
developing
world
of
Internet
Things
(IoT),
data
security
has
become
increasingly
important
since
massive
personal
are
collected.
IoT
devices
have
resource
constraints,
which
makes
traditional
cryptographic
algorithms
ineffective
for
securing
devices.
To
overcome
limitations,
lightweight
needed.
identify
research
trends
and
patterns
in
security,
it
is
crucial
to
analyze
existing
works,
keywords,
authors,
journals,
citations.
We
conducted
a
bibliometric
analysis
using
performance
mapping,
science
enrichment
techniques
collect
necessary
information.
Our
included
979
Scopus
articles,
214
WOS
144
IEEE
Xplore
articles
published
during
2015–2023,
duplicates
were
removed.
analyzed
visualized
R
version
4.3.1,
VOSviewer
1.6.19,
bibliometrix
library.
discovered
that
India
leading
country
this
type
research.
Archarya
Bansod
most
relevant
authors;
cryptography
terms;
Access
significant
journal.
Research
on
(Raspberry
Pi)
been
identified
as
an
area
future
Integrating
the
Internet
of
Things
(IoT),
Deep
Learning
(DL),
and
XGBoost
algorithm
has
paved
way
for
transformative
advancements
in
healthcare.
This
paper
presents
a
pioneering
study
on
"Smart
Healthcare
Monitoring
System"
that
harnesses
synergy
these
technologies
real-time
patient
diagnosis.
With
escalating
demand
accurate
swift
medical
assessments,
our
work
addresses
crucial
need
timely
precise
The
proposed
system
amalgamates
IoT-enabled
wearable
devices
sensors
to
capture
comprehensive
data.
A
hybrid
approach
is
employed
leverage
this
data,
comprising
model
intricate
pattern
recognition
rapid
decision-making.
Nonetheless,
challenges
such
as
data
security
interpretability
are
acknowledged,
highlighting
avenues
future
research.
underscores
potential
IoT-Deep
Learning-XGBoost
integration,
offering
robust
foundation
further
innovation
intelligent
healthcare
systems.
As
delivery
evolves,
promise
interdisciplinary
fusion
revolutionizing
diagnosis
care.
Instrumentation Mesure Métrologie,
Journal Year:
2023,
Volume and Issue:
22(6), P. 231 - 240
Published: Dec. 27, 2023
The
Internet
of
Things
(IoT)
has
become
increasingly
integral
in
healthcare,
enhancing
the
precision,
reliability,
as
well
productivity
with
respect
to
electronic
devices.Researchers
are
actively
contributing
advancement
a
digitized
healthcare
system
by
connecting
various
medical
resources
and
services.Nevertheless,
remote
monitoring
management
elderly
patients
remain
formidable
challenge
for
latest
technologies.In
this
research,
an
IoT-based
aimed
at
specialized
IoT
devices
designed
track
vital
signs
such
temperature,
toileting
habits,
blood
pressure,
sleep
patterns.Furthermore,
is
equipped
automatically
notify
relevant
authorities
any
potential
risks
faced
continuously
their
real-time
data
sending
alerts
via
email.We
believe
that
study
will
prove
valuable
both
researchers
practitioners
offering
insights
into
significant
domain
while
shedding
light
on
major
challenges
associated
applications
healthcare.This
work
also
help
understand
domain.This
contribution
offer
extensive
exploration
systems,
roadmap
benefit
future
researchers,
scientists,
academicians
establishing
novel
revolutionize
leveraging
modern
technology
enhance
patient
care
overall
quality
life.
Indonesian Journal of Electrical Engineering and Computer Science,
Journal Year:
2024,
Volume and Issue:
34(3), P. 1698 - 1698
Published: April 5, 2024
Cloud
computing,
deep
learning,
clustering,
genetic,
and
ensemble
algorithms
in
healthcare
are
gaining
popularity.
This
research
highlights
the
relevance
complex
repercussions
of
this
integration.
computing
is
transforming
by
providing
scalable
data
storage
application
access.
It
streamlines
exchange
between
hospitals,
researchers,
institutions.
Deep
learning
allows
systems
to
use
artificial
intelligence
for
diagnostics,
predictive
analytics,
customized
medication.
Clustering
segment
patients,
improving
therapy
intervention
customization.
Genetic
can
optimize
processes
like
treatment
planning
resource
allocation.
Ensemble
combine
multiple
models
improve
predicted
accuracy,
enabling
strong
decision-making.
connection
has
several
benefits.
Healthcare
become
more
efficient
scalable,
resulting
cost-effective
Access
patient
apps
promotes
collaborative
real-time
healthcare.
recognize
medical
patterns,
illness
diagnosis
results.
streamline
stratifying
individuals
clinical
variables.
allocation,
assuring
efficiency.
accuracy
decision
support
system
dependability.
Its
efficiency,
accessibility,
prediction
positives,
but
security,
constraints,
interpretability,
ethical
issues
obstacles.
