Performance Evaluation of Hospitals under Data Uncertainty: An Uncertain Common-Weights Data Envelopment Analysis
Healthcare,
Год журнала:
2024,
Номер
12(6), С. 611 - 611
Опубликована: Март 7, 2024
In
the
context
of
healthcare
systems,
performance
evaluation
hospitals
plays
a
crucial
role
in
assessing
quality
systems
and
facilitating
informed
decision-making
processes.
However,
presence
data
uncertainty
poses
significant
challenges
to
accurate
measurement.
This
paper
presents
novel
uncertain
common-weights
envelopment
analysis
(UCWDEA)
approach
for
evaluating
under
environments.
The
proposed
UCWDEA
addresses
limitations
traditional
(DEA)
models
by
incorporating
theory
(UT)
model
inherent
input
output
data.
Also,
utilizing
common
set
weights
(CSW)
technique,
method
provides
more
robust
reliable
assessment
hospital
performance.
main
advantages
can
be
succinctly
summarized
as
follows.
Firstly,
it
allows
comparison
all
on
consistent
basis
calculate
realistic
efficiency
score,
rather
than
an
overly
optimistic
score.
Secondly,
DEA
exhibits
linearity,
enhancing
its
applicability.
Thirdly,
possesses
capability
extend
utility
various
other
prevalent
distributions.
Moreover,
enhances
discriminatory
power
results,
facilitates
ranking
uncertainty,
aids
identifying
sensitivity
stability
levels
towards
uncertainty.
Notably,
order
showcase
pragmatic
application
efficacy
model,
genuine
dataset
has
been
utilized
evaluate
20
public
Tehran,
which
are
affiliated
with
Iran
University
Medical
Sciences.
results
experiment
demonstrate
amidst
conditions.
summary,
research
outcomes
offer
policymakers
valuable
insights
regarding
Additionally,
provide
practical
recommendations
optimizing
resource
allocation,
benchmarking
performance,
formulating
effective
policies
augment
overall
effectiveness
services.
Язык: Английский
Assessing the Efficiency of Taiwan’s Health Care Systems by Using the Network DEA
Scientia Iranica,
Год журнала:
2024,
Номер
0(0), С. 0 - 0
Опубликована: Фев. 7, 2024
A
high-quality
health
care
system
requires
substantial
financial
resources.
The
question
of
how
to
efficiently
use
the
system's
and
medical
resources
has
attracted
attention
researchers.
purpose
this
study
is
develop
a
network
data
envelopment
analysis
(DEA).
Previous
studies
used
radial
measure
assess
efficiency
in
DEA
model,
but
might
not
satisfy
principles
unit
invariance,
translation
monotonicity.
developed
model
applied
non-radial
evaluate
performance
suggested
several
modifications
assessment
efficiency.
First,
we
redefine
relationships
among
resources,
outcomes,
national
as
value-added
process.
Second,
assume
disease
prevention
be
an
individual
division
system.
Third,
build
optimal
degree
for
investigate
resource
wastage
shortages.
Fourth,
internalize
variable
transformation
external
factors
into
single
model.
empirical
evaluation
applies
sample
from
21
regions
examine
proposed
which
results
practical
implications
Taiwan's
Язык: Английский
Malmquist–Luenberger Productivity Index for a Two-Stage Structure in the Presence of Undesirable Outputs and Uncertainty
Advances in Operations Research,
Год журнала:
2024,
Номер
2024, С. 1 - 22
Опубликована: Фев. 5, 2024
Network
Data
Envelopment
Analysis
(NDEA)
models
assess
the
processes
of
underlying
system
at
a
certain
moment
and
disregard
dynamic
effects
in
production
process.
Hence,
distorted
efficiency
evaluation
is
gained
that
might
give
misleading
information
to
decision-making
units
(DMUs).
Malmquist–Luenberger
Productivity
Index
(MPI)
assesses
changes
over
time,
which
are
measured
as
product
recovery
frontier-shift
terms,
both
coming
from
DEA
framework.
In
this
study,
form
MPI
involving
network
structure
for
evaluating
DMUs
presence
uncertainty
undesirable
outputs
two
periods
time
presented.
To
cope
with
uncertainty,
we
use
stochastic
p-robust
approach
weak
disposability
Kuosmanen
(American
Journal
Agricultural
Economics
87
(4):1077–1082,
2005)
proposed
take
care
outputs.
The
fractional
stages
overall
linearized
by
applying
Charnes
Cooper
transformation.
Finally,
applied
evaluate
11
petroleum
wells
identify
main
factors
determining
their
productivity,
utilizing
data
2020
2021
period.
results
show
management
resource
consumption,
especially
equipment
capital,
not
appropriate
investment
inadequate.
Although
depreciation
rate
capital
facilities
industry
high,
purpose
upgrade
level
technology.
Язык: Английский
Z-number network data envelopment analysis approach: A case study on the Iranian insurance industry
PLoS ONE,
Год журнала:
2024,
Номер
19(7), С. e0306876 - e0306876
Опубликована: Июль 11, 2024
The
main
aim
of
this
research
is
to
present
an
innovative
method
known
as
fuzzy
network
data
envelopment
analysis
(FNDEA)
in
order
assess
the
performance
decision-making
units
(DMUs)
that
possess
a
two-stage
structure
while
taking
into
account
uncertainty
data.
To
attain
goal,
we
utilize
various
methodologies
including
non-cooperative
game
(leader-follower)
NDEA
method,
concept
Z-number,
credibility
theory,
and
chance-constrained
programming
(CCP)
develop
model
for
approach.
FNDEA
approach
offers
several
advantages,
such
linearity
presented
models,
ability
rank
DMUs
situations
ambiguity,
provision
unique
efficiency
decomposition
uncertain
environment,
capability
handle
Z-information.
demonstrate
applicability
effectiveness
proposed
approach,
implement
Z-number
(ZNDEA)
assessing
Iranian
private
insurance
companies.
results
implementation
reveal
ZNDEA
suitable
effective
measuring
ranking
companies
where
ambiguity
present.
Язык: Английский