Income
inequality
is
a
prominent
contributor
to
health
disparities
in
the
U.S.
As
leading
capitalist
nation,
registers
highest
healthcare
expenditure
among
developed
countries
yet
grapples
with
widening
income
disparities.
The
chasm
between
rich
and
underprivileged
has
expanded
significantly
recent
decades,
casting
profound
impacts
on
American
society.
This
study
explores
nuances
of
inequality,
its
ramifications,
potential
remedies,
analyzed
through
Gini
Coefficient.
Advanced
forecasting
models
are
employed
anticipate
future
patterns.
research
highlights
value
Healthcare
Analytics
understanding
complexities
inequality.
findings
underscore
pressing
need
for
effective
policies
address
this
mounting
challenge.
Discover Internet of Things,
Год журнала:
2024,
Номер
4(1)
Опубликована: Ноя. 20, 2024
Continuous
monitoring
of
individuals'
health,
particularly
those
with
chronic
diseases,
out
healthcare
centers
could
result
in
lower
patient
traffic
centers,
much
more
real-time
health
control,
and
faster
emergency
services.
Hence,
using
the
internet
things
(IoTs)
as
an
enabler
Industry
4.0
facilitating
remote
has
gained
attention
recent
years.
Although
plenty
research
been
focused
on
IoT-based
monitoring,
they
neglected
emerging
concepts
like
human-centered
data
analytics
a
significant
requirement
Healthcare
5.0
era.
This
paper
contributes
to
status
by
conducting
descriptive
analysis
corresponding
literature
according
biometrics
monitored,
applied
software,
hardware,
sensors,
communication
models,
highlighting
lack
consideration
long-term,
existing
literature.
Results
showed
that
focus
mostly
information
transit
technology
development
not
analytics.
In
addition,
gap
current
recommendations
emphasized
multi-biometrics
cybersecurity,
analysis.
Finally,
several
guidelines
are
provided
for
future
research.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 165 - 186
Опубликована: Апрель 4, 2025
Artificial
Intelligence
(AI)
is
transforming
healthcare
operations
by
enhancing
efficiency,
optimizing
resource
utilization,
and
improving
patient
outcomes.
This
chapter
explores
how
AI-enabled
technologies
revolutionize
workflows,
streamline
allocation,
address
bottlenecks
like
wait
times
supply
chain
inefficiencies.
Key
AI
techniques,
including
machine
learning,
natural
language
processing,
robotic
process
automation,
are
discussed
alongside
applications
in
predictive
analytics,
administrative
tasks,
decision
support
systems.
Real-world
case
studies
highlight
benefits
such
as
cost
reduction
improved
services.
The
also
examines
challenges
data
security,
algorithmic
bias,
workforce
adaptation,
while
exploring
future
prospects
at
the
intersection
of
with
IoT
telemedicine,
offering
strategies
to
build
more
flexible,
efficient
Healthcare Analytics,
Год журнала:
2024,
Номер
5, С. 100342 - 100342
Опубликована: Май 8, 2024
Intensive
Care
Unit
(ICU)
capacity
can
be
significantly
affected
by
disease
outbreaks,
epidemics,
and
pandemics,
impeding
the
operational
efficiency
of
healthcare
systems
compromising
patient
care.
This
paper
presents
a
multi-stage
optimization
approach
to
planning
location
distribution
ICU
beds
increase
accessibility
reduce
mortality
caused
shortage
in
geographic
region
during
epidemic
events.
Using
Brazilian
state
monthly
hospital
admissions
due
Covid-19
from
October
2020
April
2021,
we
show
amount
allocation
extra
that
could
mortality,
minimize
travel
transportation,
while
considering
budget
limitations.
Our
findings
coverage
for
21
previously
underserved
municipalities,
providing
69
ranging
880
1670
across
seven
months.
On
average,
patients
are
displaced
56%
less
access
ICUs
within
17
±
2.3
kilometres
(CI
95%).
The
strategy
contributes
public
health
equitable
resources
among
population.
Healthcare Analytics,
Год журнала:
2023,
Номер
5, С. 100287 - 100287
Опубликована: Дек. 2, 2023
Income
inequality
is
a
prominent
contributor
to
health
disparities
in
the
U.S.
As
leading
capitalist
nation,
registers
highest
healthcare
expenditure
among
developed
countries
yet
grapples
with
widening
income
disparities.
The
chasm
between
rich
and
underprivileged
has
expanded
significantly
recent
decades,
profoundly
impacting
American
society.
This
study
explores
nuances
of
inequality,
its
ramifications,
potential
remedies,
analyzed
through
Gini
Coefficient.
Advanced
forecasting
models,
including
AutoRegressive
Integrated
Moving
Average
Regression
Analysis,
are
employed
anticipate
future
patterns.
research
highlights
value
analytics
understanding
complexities
inequality.
findings
underscore
pressing
need
for
effective
policies
address
this
mounting
challenge.
Revue Française de Gestion Industrielle,
Год журнала:
2024,
Номер
38(1), С. 57 - 69
Опубликована: Фев. 23, 2024
Depuis
2013,
les
hôpitaux
français
ont
été
vivement
encouragés
à
adopter
des
logiciels
de
gestion
lits
pour
fluidifier
le
parcours
soins
mais
cela
heurte
difficultés.
Cet
article
présente
une
étude
cas
menée
au
sein
du
Centre
Hospitalier
Régional
Universitaire
(CHRU)
Nancy.
Nous
avons
réalisé
analyse
rétrospective
données
relatives
aux
mouvements
patients
et
prospective
processus
lits.
Ces
analyses
permis
comprendre
fonctionnement
actuel
d’obtenir
quantitatives
permettant
d’objectiver
avantages
apportés
par
l'informatisation.
Une
démarche
originale
d'évaluation
a
priori
impacts
multicritères
impliquant
différents
acteurs
proposée.
Les
résultats
obtenus
recueillir
perceptions
positives
négatives
parties
prenantes
avant
même
la
mise
en
place
logiciel,
contribuant
ainsi
son
acceptabilité.
Habitual
Renal
complaint
is
a
condition
that
causes
progressive
drop
in
renal
function.
It
refers
to
clinical
reality
dysfunction,
indecorous
opinion,
and
treatment
can
affect
unrecoverable
with
veritably
short
chances
of
survival.
Artificial
Intelligence
(AI)
technologies
equip
healthcare
providers
rich
set
algorithms
prognosticate
the
habitual
development
conditions.
previous
information
helps
enable
visionary
corrective
measures.
This
exploration
study
intends
develop
an
effective
tool
for
prognosticating
CKD
using
machine
learning
approaches.
A
literacy
model
proposed
presented
address
on-uniform
distribution
cases
through
class
balancing,
point
ranking
analysis,
classifier
training.
