BMC Health Services Research,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: Jan. 4, 2023
Abstract
Background
India,
the
seventh-largest
country
in
world
and
second-most
populated
faces
enormous
challenges
when
it
comes
to
healthcare.
The
country’s
healthcare
system
was
close
collapse
due
detrimental
effects
of
COVID-19
pandemic.
Telehealth,
which
enables
treating
patients
remotely,
played
a
critical
role
during
these
challenging
times.
This
systematic
review
investigates
detail
telehealth
its
application
beyond
Methods
Database
searches
on
PubMed,
Scopus,
Science
Direct
Web
were
carried
out
for
studies
published
telehealth,
articles
included
if
they
focused
any
audio
or
video
consultation
pandemic
India.
Findings
synthesised
into
three
main
themes:
applications,
benefits
services.
Methodological
quality
assessed
using
JBI
appraisal
tools.
Results
initial
search
databases
yielded
1143
articles.
Of
those,
19
met
eligibility
criteria.
highlight
effective
utilisation
across
multiple
medical
specialities.
Although
insufficient
technological
infrastructure
other
barriers
virtual
challenge
successful
implementation
has
potential
bridge
rural-urban
divide
with
cost-effective
easily
accessible
Conclusion
High
patient/provider
satisfaction
underscores
need
integrate
routine
practices
country.
However,
urges
government
practitioners
address
prime
importance
ensure
throughout
nation
even
after
Frontiers in Health Informatics,
Journal Year:
2024,
Volume and Issue:
13, P. 200 - 200
Published: April 7, 2024
Introduction:
Chatbots,
computer
programs
emulating
natural
language
conversations,
have
gained
attention
in
healthcare.
Recent
advances
address
issues
like
obesity,
dementia,
oncology,
and
insomnia.
A
comprehensive
assessment
of
their
utility
is
essential
for
widespread
adoption.
This
study
aims
to
summarize
chatbots'
role
healthcare.Material
Methods:
The
methodology
involved
a
systematic
review
English-language
literature
up
May
8,
2023,
from
databases
Embase,
PubMed,
Web
Science,
Scopus.
Selection
followed
two-step
process
based
on
inclusion/exclusion
criteria.
PRISMA
checklist
AMSTAR-2
tool
ensured
quality.Results:
encompassed
38
articles.
Findings
reveal
chatbots
primarily
promote
healthy
lifestyles,
improving
mental
well-being.
They
are
widely
used
treatment,
education,
screening
due
accessibility.Conclusion:
Chatbots
hold
transformative
potential
healthcare,
especially
health,
cancer
management,
public
health.
poised
revolutionize
the
industry,
offering
innovative
solutions
patient
outcomes.
Clinical eHealth,
Journal Year:
2023,
Volume and Issue:
7, P. 5 - 14
Published: Dec. 9, 2023
The
existing
global
health
crisis
characterized
by
limited
resources,
including
personnel,
has
prompted
the
adoption
of
telemedicine
and
telehealth,
especially
in
post-pandemic
era.
COVID-19
pandemic
accelerated
these
technologies,
as
world
navigates
beyond
crisis,
it
is
essential
to
assess
extent
utilization
telehealth
telemedicine.
This
review
study
aims
which
teleservices
have
been
implemented
worldwide
across
different
continents.
Peer-reviewed
articles
were
reviewed
Web
Science,
Scopus,
Cochrane
Library
Pubmed/Medline
databases.
exclusion
criteria
comprised
all
published
before
1
December
2019,
any
other
databases,
duplicates,
grey
literature.
inclusion
for
this
encompassed
on
or
after
1,
2019.
timeframe
allowed
us
focus
A
total
381
publications
identified
inclusion,
screened
based
reviewing
titles,
abstracts
full-text
content
down
102
relevant
articles.
Utilization
trends
amongst
countries
continents,
classified
into
advanced,
developed,
developing
emerging
stages.
respective
characteristics
utilized
differentiating
stages
identified,
encompassing
inclusivity
administration,
disease
diagnosis,
treatment,
patient
follow-ups,
pharmacy
services
electronic
records
transversely.
According
review,
surveyed
(n=77),
(n=27)
13.8%
are
at
an
advanced
stage,
(n=
20)
10.3%
a
developed
level,
(n
=
24)
12.3%
6)
3%
percentages
(N=195).
In
conclusion,
demonstrated
various
nations
adopted
from
onset
2023.
BioMed Research International,
Journal Year:
2024,
Volume and Issue:
2024, P. 1 - 11
Published: Jan. 9, 2024
Introduction.
With
the
increasing
accessibility
of
smartphones,
their
use
has
been
considered
in
healthcare
services.
Mobile
applications
have
played
a
pivotal
role
providing
health
services
during
COVID-19.
This
study
is
aimed
at
identifying
features,
advantages,
and
disadvantages
management
mobile
Methods.
systematic
review
was
conducted
PubMed,
Scopus,
Web
Science
using
related
keywords
up
to
November
2021.
The
original
articles
English
about
COVID-19
were
selected.
selection
done
by
two
researchers
independently
according
inclusion
exclusion
criteria.
Data
extraction
data
form,
results
summarized
reported
tables
figures.
Results.
Finally,
12
included
based
on
benefits
for
four
themes
19
subthemes,
most
advantages
application
disease
possibility
recording
information
users,
digital
tracking
calls,
confidentiality.
Furthermore,
them
presented
14
subthemes.
common
are
reduced
adherence
daily
symptom
reports,
personal
interpretation
questions,
result
bias.
Conclusion.
showed
that
effective
controlling
prevalence
virus-infested
environments,
monitoring
infected
people,
social
distancing,
maintaining
quarantine.
It
suggested
usability,
ethical
security
considerations,
protection
information,
privacy
users
be
design
development.
Health Science Reports,
Journal Year:
2022,
Volume and Issue:
5(2)
Published: March 1, 2022
The
use
of
new
technologies
such
as
the
Internet
Things
(IoT)
in
management
chronic
diseases,
especially
COVID
pandemics,
could
be
a
life-saving
appliance
for
public
health
practice.
purpose
current
study
is
to
identify
applications
and
capability
IoT
digital
COVID-19
pandemic.
Journal of Computer Science,
Journal Year:
2023,
Volume and Issue:
19(5), P. 554 - 568
Published: May 1, 2023
With
the
development
of
modern
technologies
in
field
healthcare,
use
Artificial
Intelligence
(AI)
disease
management
is
increasing.
AI
methods
may
assist
healthcare
providers
COVID-19
era.
The
current
study
aimed
to
observe
efficacy
and
importance
for
managing
pandemic.
An
organized
search
was
conducted,
utilizing
PubMed,
Web
Science,
Scopus,
Embase,
Cochrane
up
September
2022.
Studies
were
considered
qualified
inclusion
if
they
met
criterion.
We
conducted
review
according
Preferred
Reporting
Items
Systematic
reviews
Meta
Analyses
(PRISMA)
guidelines.
There
52
documents
that
eligibility
criteria
be
included
review.
most
common
item
using
during
era
predictive
models
foretell
pneumonia
mortality
risks
people
with
based
on
medical
experimental
parameters.
related
being
male
elderly
Neural
Network
(ANN)
Convolutional
(CNN)
logistic
regression
analysis
demographics,
clinical
data,
laboratory
tests
hospitalized
patients.
can
predict,
diagnose
model
by
techniques
such
as
support
vector
machines,
decision
trees,
neural
networks.
It
suggested
future
research
should
deal
design
AI-based
tools
chronic
diseases
COVID-19.
BMC Health Services Research,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: Oct. 28, 2023
Abstract
Background
With
the
spread
of
Covid-19
disease,
health
interventions
related
to
control,
prevention,
and
treatment
this
disease
other
diseases
were
given
real
attention.
The
purpose
systematic
review
is
express
facilitators
barriers
using
mobile
(mHealth)
during
pandemic.
Methods
In
review,
original
studies
searched
keywords
in
electronic
database
PubMed
until
August
2022.
objectives
outcomes
these
extracted.
Finally,
identify
mHealth
interventions,
a
qualitative
content
analysis
was
conducted
based
on
strengths,
weaknesses,
opportunities,
threats
(SWOT)
method
with
Atlas.ti
8
software.
We
evaluated
Mixed
Appraisal
Tool
(MMAT).
Results
total,
1598
articles
identified
55
included
study.
Most
used
applications
provide
receive
services
pandemic
(96.4%).
help
prevention
(17),
follow-up
(15),
(12),
diagnosis
(8).
Using
SWOT
analysis,
13
18
patients’
use
identified.
Conclusion
Mobile
are
very
flexible
technologies
that
can
be
customized
for
each
person,
patient,
population.
During
pandemic,
designed
due
lack
interaction,
time,
attention
privacy,
non-academic
nature
have
not
met
their
expectations
them.
Communications Medicine,
Journal Year:
2025,
Volume and Issue:
5(1)
Published: Jan. 21, 2025
Abstract
Background
Increasing
demands,
such
as
the
COVID-19
pandemic,
have
presented
substantial
challenges
to
global
healthcare
systems,
resulting
in
staff
shortages
and
overcrowded
emergency
rooms.
Health
kiosks
emerged
a
promising
solution
improve
overall
efficiency
accessibility.
However,
although
are
commonly
used
worldwide
for
access
information
financial
services,
health
kiosk
industry,
valued
at
$800
million,
accounts
just
1.9%
of
$42
billion
market.
This
review
aims
bridge
research-to-practice
gap
by
examining
development
technology
from
2013
2023.
Methods
We
conducted
systematic
search
across
PubMed,
IEEE
Xplore,
Google
Scholar
databases,
identifying
5,537
articles,
with
36
studies
meeting
inclusion
criteria
detailed
analysis.
evaluated
each
study
based
on
purpose,
targeted
diseases,
measured
vital
signs,
user
demographics,
along
an
assessment
limitations
participant
selection
data
reporting.
Results
The
findings
reveal
that
blood
pressure
is
most
frequently
sign,
utilized
34%
studies.
Furthermore,
cardiovascular
disease
detection
emerges
primary
motivation
56%
included
United
States,
India,
Kingdom
notable
contributors,
accounting
43%
reviewed
articles.
Our
reveals
considerable
reporting
many
Additionally,
several
research
gaps
remain,
including
lack
performance
testing,
experience
evaluation,
clinical
intervention,
standardization,
inadequate
sanitization
protocols.
Conclusions
highlights
kiosks’
potential
ease
burden
system
expand
widespread
adoption
hindered
technical,
regulatory,
challenges.
Addressing
these
barriers
could
enable
play
greater
role
early
delivery.
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 21, 2025
The
escalating
demand
for
chronic
disease
management
has
presented
substantial
challenges
to
traditional
methods.
However,
the
emergence
of
Internet
Things
(IoT)
and
artificial
intelligence
(AI)
technologies
offers
a
potential
resolution
by
facilitating
more
precise
through
data-driven
strategies.
This
review
concentrates
on
utilization
IoT
mobile
sensing
devices
in
managing
major
diseases
such
as
cardiovascular
diseases,
cancer,
respiratory
diabetes.
It
scrutinizes
their
efficacy
diagnosis
when
integrated
with
machine
learning
algorithms,
ANN,
SVM,
RF,
deep
models.
Through
an
exhaustive
literature
review,
this
study
dissects
how
these
aid
risk
assessment,
personalized
treatment
planning,
management.
research
addresses
gap
existing
concerning
application
AI
specific
diseases.
particularly
demonstrates
methodological
novelty
introducing
advanced
models
based
learning,
tight
frame-based
methodologies
real-time
monitoring
systems.
employs
rigorous
examination
method,
which
includes
systematically
searching
relevant
databases,
filtering
that
meets
inclusion
exclusion
criteria,
adopting
quality
assessment
tools
ensure
rigor
selected
studies.
identifies
biases
weaknesses
related
data
collection,
algorithm
selection,
user
interaction.
platforms
integrating
algorithms
are
not
only
technically
viable
but
also
yield
economic
social
advantages
real-world
applications.
Future
studies
could
investigate
use
quantum
computing
processing
vast
medical
datasets
novel
techniques
merge
biosensors
nanotechnology
drug
delivery
surveillance.
Furthermore,
paper
examines
recent
progress
image
reconstruction,
emphasizing
methodologies.
We
discuss
principles,
benefits,
constraints
methods,
assessing
across
diverse
contexts.
