International Journal of Applied Research in Social Sciences,
Journal Year:
2024,
Volume and Issue:
6(8), P. 1725 - 1746
Published: Aug. 21, 2024
Mobile
health
(mHealth)
applications
offer
a
transformative
approach
to
disease
management,
particularly
in
rural
areas
where
healthcare
resources
are
often
limited.
This
systematic
review
explores
the
role
of
mHealth
enhancing
management
settings,
focusing
on
their
effectiveness,
challenges,
and
potential
benefits.
The
systematically
assesses
literature
designed
for
areas,
highlighting
key
findings
from
various
studies.
reveals
that
can
significantly
improve
access
services,
enable
remote
monitoring,
facilitate
timely
interventions.
These
include
features
such
as
symptom
tracking,
medication
reminders,
education,
telemedicine
capabilities,
which
collectively
enhance
patient
outcomes.
For
instance,
apps
chronic
diabetes
hypertension,
tools
self-monitoring
personalized
feedback,
thereby
improving
adherence
treatment
regimens
fostering
better
control.
However,
also
identifies
several
challenges
associated
with
implementation
areas.
Key
issues
limited
internet
access,
variability
digital
literacy,
concerns
about
data
privacy
security.
effectiveness
is
constrained
by
these
factors,
need
tailored
solutions
address
unique
needs
populations.
Despite
underscores
bridge
gaps
delivery
By
providing
scalable
accessible
solutions,
have
outcomes
underserved
regions.
Future
research
should
focus
developing
context-specific
barriers
identified
exploring
strategies
effective
integration
into
existing
systems.
Overall,
represent
promising
avenue
advancing
impact
public
health.
Keywords:
Rural
Areas,
Systematic,
Disease,
Management,
Health
Application.
International Journal of Applied Research in Social Sciences,
Journal Year:
2024,
Volume and Issue:
6(8), P. 1797 - 1823
Published: Aug. 21, 2024
Artificial
intelligence
(AI)
and
big
data
analytics
have
emerged
as
powerful
tools
in
enhancing
public
health
surveillance,
particularly
rural
communities
where
traditional
monitoring
methods
face
significant
challenges.
These
technologies
offer
the
potential
to
transform
how
is
collected,
analyzed,
utilized,
enabling
more
effective
timely
responses
threats.
Rural
often
struggle
with
limited
healthcare
infrastructure,
making
it
difficult
monitor
respond
issues
effectively.
AI
can
bridge
this
gap
by
providing
advanced
capabilities
for
real-time
collection
analysis.
algorithms
process
vast
amounts
of
from
various
sources,
including
electronic
records,
mobile
applications,
social
media,
environmental
sensors.
This
enables
identification
patterns
trends
that
may
indicate
emerging
threats,
such
outbreaks
infectious
diseases
or
increases
chronic
conditions.
Big
allows
integration
analysis
diverse
datasets,
a
comprehensive
view
areas.
holistic
approach
officials
identify
high-risk
populations,
track
spread
diseases,
evaluate
effectiveness
interventions.
For
instance,
AI-powered
predictive
models
forecast
disease
based
on
historical
current
trends,
allowing
proactive
measures
mitigate
impact.
Moreover,
these
enhance
accuracy
efficiency
surveillance.
automate
processing
tasks,
reducing
time
resources
required
manual
authorities
quickly
improving
overall
outcomes
communities.
Additionally,
aid
identifying
correlations
between
factors
issues,
insights
inform
policies
Despite
benefits,
implementing
surveillance
faces
several
Data
privacy
security
concerns
must
be
addressed
ensure
confidentiality
information.
Furthermore,
areas
lack
technological
infrastructure
expertise
needed
fully
leverage
technologies.
Overcoming
challenges
requires
investment
training
professionals,
development
user-friendly
applications
tailored
needs
In
conclusion,
hold
promise
By
leveraging
technologies,
improve
detection,
monitoring,
response
ultimately
leading
better
populations.
Keywords:
AI,
Analytics,
Public
Health,
Surveillance,
Communities.
International Journal of Management & Entrepreneurship Research,
Journal Year:
2024,
Volume and Issue:
6(8), P. 2819 - 2834
Published: Aug. 30, 2024
Project
management
has
evolved
into
a
critical
discipline
that
significantly
impacts
innovation,
economic
growth,
and
the
shaping
of
future
trends.
In
today's
dynamic
competitive
business
environment,
effective
project
is
essential
for
organizations
to
innovate,
adapt,
thrive.
This
paper
explores
pivotal
role
plays
in
fostering
contributing
anticipating
Innovation
lifeblood
modern
enterprises,
provides
structured
approach
needed
translate
innovative
ideas
tangible
outcomes.
By
employing
methodologies
such
as
Agile,
Scrum,
Lean,
managers
facilitate
rapid
development
implementation
new
products,
services,
processes.
These
emphasize
flexibility,
iterative
progress,
continuous
improvement,
enabling
respond
quickly
market
changes
technological
advancements.
Effective
ensures
innovation
projects
are
completed
on
time,
within
budget,
desired
quality
standards,
maximizing
their
impact
value.
Economic
growth
closely
linked
successful
execution
projects.
Large-scale
infrastructure
projects,
advancements,
ventures
all
rely
robust
practices.
coordinate
resources,
manage
risks,
ensure
stakeholder
alignment,
which
timely
cost-effective
completion
drive
development.
improving
efficiency
productivity,
contributes
overall
health
industries
nations.
Furthermore,
it
helps
create
job
opportunities,
fosters
investment,
enhances
competitiveness
businesses
global
marketplace.
Future
trends
being
shaped
by
emerging
technologies
changing
paradigms.
The
integration
Artificial
Intelligence
(AI),
Big
Data
analytics,
Internet
Things
(IoT)
practices
revolutionizing
field.
provide
real-time
insights,
predictive
automated
processes,
make
informed
decisions
optimize
Additionally,
growing
emphasis
sustainability
corporate
social
responsibility
(CSR)
influencing
approaches,
driving
adoption
green
ethical
conclusion,
vital
driver
providing
framework
managing
complexity
change,
enables
grow,
navigate
uncertainties
future.
evolution
practices,
influenced
advancements
societal
shifts,
will
further
enhance
its
prosperous
sustainable
Keywords:
Role,
Management,
Driving
Innovations,
Growth,
Trends.
International Medical Science Research Journal,
Journal Year:
2024,
Volume and Issue:
4(8), P. 834 - 858
Published: Aug. 23, 2024
Antimicrobial
resistance
(AMR)
poses
a
significant
threat
to
global
health,
complicating
the
treatment
of
infectious
diseases
and
leading
increased
morbidity
mortality.
Innovative
drug
delivery
methods
are
emerging
as
critical
strategies
combat
AMR
by
enhancing
efficacy
existing
antibiotics
facilitating
development
new
therapeutic
approaches.
This
paper
explores
role
novel
systems
in
addressing
challenges.
One
primary
approaches
is
targeted
that
improve
precision
antibiotic
therapy.
Nanotechnology
has
revolutionized
this
field,
enabling
creation
nanoparticles
nanocarriers
can
deliver
drugs
directly
infection
sites,
reducing
systemic
side
effects
concentration
at
target.
These
advanced
be
engineered
release
controlled
manner,
overcoming
bacterial
mechanisms
minimizing
likelihood
development.
Another
promising
strategy
involves
use
combination
therapies
delivered
through
innovative
methods.
By
combining
with
adjuvants
or
resistance-modifying
agents,
these
counteract
restore
effectiveness
drugs.
For
instance,
platforms
co-deliver
inhibitors
efflux
pumps
biofilm
formation
enhance
resistant
infections.
The
integration
smart
systems,
which
respond
environmental
stimuli
such
pH
changes
specific
enzymes,
offers
additional
advantages.
only
presence
bacteria,
thereby
overall
exposure
bacteria
decreasing
risk
resistance.
also
include
long-acting
formulations
implants
provide
sustained
over
extended
periods.
Such
reduce
frequency
dosing,
patient
adherence,
ensure
consistent
levels,
crucial
for
managing
chronic
infections
preventing
In
conclusion,
pivotal
fight
against
AMR.
targeting,
therapies,
utilizing
sustained-release
offer
solutions
curb
Continued
research
area
essential
advancing
ensuring
effective
management
face
rising
antimicrobial
Keywords:
Innovative,
Drug
Delivery
Methods,
Combating,
Antimicrobial,
Resistance.
International Journal of Applied Research in Social Sciences,
Journal Year:
2024,
Volume and Issue:
6(8), P. 1824 - 1847
Published: Aug. 21, 2024
The
integration
of
artificial
intelligence
(AI)
in
healthcare
has
revolutionized
chronic
disease
management,
particularly
rural
areas
where
access
to
medical
services
is
often
limited.
AI-enhanced
remote
monitoring
systems
leverage
advanced
machine
learning
algorithms,
wearable
devices,
and
telehealth
platforms
provide
continuous,
real-time
health
for
patients
with
conditions
such
as
diabetes,
hypertension,
cardiovascular
diseases.
AI
algorithms
analyze
data
from
which
track
vital
signs
like
heart
rate,
blood
pressure,
glucose
levels,
physical
activity.
This
continuous
stream
allows
early
detection
potential
issues,
enabling
timely
interventions
reducing
the
need
frequent
hospital
visits.
For
instance,
can
predict
a
hypertensive
crisis
by
identifying
abnormal
patterns
pressure
readings,
prompting
immediate
attention.
Telehealth
facilitate
communication
between
providers,
overcoming
geographical
barriers.
Patients
receive
personalized
care
plans,
medication
adjustments,
lifestyle
recommendations
through
virtual
consultations.
AI-driven
chatbots
assistants
enhance
patient
engagement
providing
instant
responses
health-related
queries,
thus
improving
adherence
treatment
regimens.
Moreover,
enhances
analytics
integrating
electronic
records
(EHR)
data,
creating
comprehensive
profiles.
These
profiles
assist
providers
making
informed
decisions
personalizing
plans.
Predictive
identify
high-risk
forecast
progression,
proactive
management
strategies.
implementation
also
addresses
resource
constraints
settings.
Automated
collection
analysis
reduce
workload
professionals,
allowing
them
focus
on
critical
tasks.
Furthermore,
AI's
scalability
ensures
that
even
underserved
communities
benefit
technologies.
Despite
these
advancements,
challenges
privacy,
cybersecurity,
reliable
internet
connectivity
must
be
addressed.
Ensuring
security
confidentiality
paramount
gaining
trust
widespread
adoption
technologies
healthcare.
In
conclusion,
presents
transformative
approach
areas,
outcomes,
enhancing
accessibility,
optimizing
utilization.
Continued
innovation
investment
are
essential
bridging
gap
urban
populations.
Keywords:
AI-Enhanced,
Remote
Monitoring,
Chronic
Disease,
Management,
Rural
Areas.
Computer Science & IT Research Journal,
Journal Year:
2024,
Volume and Issue:
5(8), P. 1828 - 1854
Published: Aug. 23, 2024
The
integration
of
artificial
intelligence
(AI)
in
healthcare
has
the
potential
to
revolutionize
early
diagnosis
chronic
diseases,
particularly
rural
areas
where
resources
are
often
limited.
This
paper
explores
transformative
impact
AI
technologies
on
identifying
diseases
at
their
earliest
stages,
enhancing
patient
outcomes,
and
alleviating
burden
systems.
AI's
ability
analyze
vast
amounts
data
rapidly
accurately
enables
detection
such
as
diabetes,
hypertension,
cardiovascular
conditions.
Machine
learning
algorithms
can
process
from
various
sources,
including
electronic
health
records
(EHRs),
wearable
devices,
diagnostic
imaging,
identify
patterns
biomarkers
indicative
disease
onset.
predictive
capability
allows
providers
intervene
sooner,
potentially
preventing
progression
reducing
long-term
costs.
In
areas,
access
specialized
medical
expertise
advanced
tools
is
constrained,
AI-driven
offer
a
significant
advantage.
Telemedicine
platforms
integrated
with
facilitate
remote
consultations,
assists
interpreting
providing
suggestions.
approach
not
only
expands
quality
but
also
empowers
local
decision-support
tools,
improving
accuracy
management.
Moreover,
help
mitigate
challenges
limited
personnel
regions
by
automating
routine
tasks
enabling
workers
focus
more
complex
cases.
For
instance,
AI-powered
imaging
analysis
quickly
screen
large
populations
for
signs
flagging
suspicious
cases
further
review
professionals.
deployment
settings
fosters
continuous
monitoring
personalized
care
through
connected
devices.
These
devices
collect
real-time
data,
which
systems
provide
actionable
insights
alerts
both
patients
providers.
proactive
ensures
timely
interventions
enhances
adherence
treatment
plans.
conclusion,
into
significantly
improves
offering
scalable
solution
address
disparities
outcomes
between
urban
populations.
Continued
investment
infrastructure,
along
targeted
training
providers,
essential
realize
full
transforming
life
millions.
Keywords:
AI,
Impact,
Early
Diagnostic,
Chronic
Disease,
Rural
Areas.
International Journal of Applied Research in Social Sciences,
Journal Year:
2024,
Volume and Issue:
6(8), P. 1725 - 1746
Published: Aug. 21, 2024
Mobile
health
(mHealth)
applications
offer
a
transformative
approach
to
disease
management,
particularly
in
rural
areas
where
healthcare
resources
are
often
limited.
This
systematic
review
explores
the
role
of
mHealth
enhancing
management
settings,
focusing
on
their
effectiveness,
challenges,
and
potential
benefits.
The
systematically
assesses
literature
designed
for
areas,
highlighting
key
findings
from
various
studies.
reveals
that
can
significantly
improve
access
services,
enable
remote
monitoring,
facilitate
timely
interventions.
These
include
features
such
as
symptom
tracking,
medication
reminders,
education,
telemedicine
capabilities,
which
collectively
enhance
patient
outcomes.
For
instance,
apps
chronic
diabetes
hypertension,
tools
self-monitoring
personalized
feedback,
thereby
improving
adherence
treatment
regimens
fostering
better
control.
However,
also
identifies
several
challenges
associated
with
implementation
areas.
Key
issues
limited
internet
access,
variability
digital
literacy,
concerns
about
data
privacy
security.
effectiveness
is
constrained
by
these
factors,
need
tailored
solutions
address
unique
needs
populations.
Despite
underscores
bridge
gaps
delivery
By
providing
scalable
accessible
solutions,
have
outcomes
underserved
regions.
Future
research
should
focus
developing
context-specific
barriers
identified
exploring
strategies
effective
integration
into
existing
systems.
Overall,
represent
promising
avenue
advancing
impact
public
health.
Keywords:
Rural
Areas,
Systematic,
Disease,
Management,
Health
Application.
