Transforming Healthcare Delivery: AI-Powered Clinical Decision Support Systems
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Год журнала:
2025,
Номер
11(1), С. 339 - 347
Опубликована: Янв. 8, 2025
Integrating
Artificial
Intelligence
in
Clinical
Decision
Support
Systems
(CDSS)
has
fundamentally
transformed
healthcare
delivery
by
enhancing
diagnostic
accuracy,
improving
treatment
outcomes,
and
streamlining
clinical
workflows.
This
comprehensive
article
explores
the
key
features,
benefits,
implementation
challenges,
future
innovations
AI-powered
CDSS.
Through
examination
of
real-world
implementations
across
multiple
institutions,
this
demonstrates
how
advanced
algorithms,
multimodal
data
integration,
automated
analysis
capabilities
are
revolutionizing
decision-making.
The
highlights
significant
improvements
reduced
medical
errors,
enhanced
patient
outcomes
while
addressing
critical
challenges
quality,
workflow
regulatory
compliance,
clinician
acceptance.
Furthermore,
emerging
technologies,
including
federated
learning,
ambient
intelligence,
extended
reality
providing
insights
into
evolution
decision
support
systems.
Язык: Английский
THE TRANSFORMATIVE IMPACT OF BIG DATA ON MODERN HEALTHCARE: A TECHNICAL ANALYSIS
Опубликована: Янв. 16, 2025
The
healthcare
sector
is
experiencing
a
transformative
digital
revolution
driven
by
Big
Data
analytics,
fundamentally
changing
how
medical
services
are
delivered
and
managed.This
comprehensive
article
analysis
explores
the
integration
of
advanced
technologies
in
healthcare,
focusing
on
predictive
analytics
for
clinical
decision
Bharath
Nagamalla
https://iaeme.com/Home/
Язык: Английский
Understanding Digital Therapeutics in Disease Self-management: A Systematic Literature Review
Technology in Society,
Год журнала:
2025,
Номер
unknown, С. 102831 - 102831
Опубликована: Янв. 1, 2025
Язык: Английский
Knowledge as the Engine: Transforming Healthcare Delivery Through Information and Communications Technology Applying a Sustainable Development Framework
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 7, 2025
ABSTRACT
The
future
of
health
in
Ghana
is
indeed
a
complex
and
multifaceted
landscape
characterized
by
both
challenges
promising
opportunities.
Such
opportunities
lie
adopting
technology,
which
can
revolutionize
healthcare
knowledge
management
elevate
quality
Ghana.
As
such,
this
study
tested
the
prognosis
using
lens
technology
acceptance
model
(TAM)
to
investigate
information
communications
(ICT)
assimilation
activities
(KA)
improve
delivery
Community‐based
Health
Planning
Services
(CHPS)
zones
TAM
framework
offers
strong
theoretical
basis
for
evaluating
professionals'
use
ICT
providing
services.
A
pooled
dataset
657
sector
respondents
was
employed
test
hypothesis
Partial
Least
Squares
Structural
Equation
Modeling
(PLS‐SEM)
technique.
It
found
that
adoption
KA
significantly
helps
facilities
Moreover,
relationship
best
mediated
through
policies
(HP)
KA.
results
further
demonstrate
effective
CHPS
contributes
HP
monitoring.
concluded
advent
has
reformed
collaboration
among
diverse
teams
sector,
fostering
seamless
exchange
expertise.
This
interactive
platform,
accessible
at
fraction
cost
traditional
methods,
empowers
providers
work
together
effectively,
enhancing
efficiency
patient
care.
Язык: Английский