Optimal operational and carbon neutrality strategies for private hospitals: A multi-objective approach considering patient flow
Transportation Research Part E Logistics and Transportation Review,
Journal Year:
2025,
Volume and Issue:
198, P. 104107 - 104107
Published: April 8, 2025
Language: Английский
Towards Sustainable Healthcare: Exploring Factors Influencing Use of Mobile Applications for Medical Escort Services
Fan Xu,
No information about this author
Jing Hu,
No information about this author
Duanduan Liu
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(14), P. 6058 - 6058
Published: July 16, 2024
The
aging
population
is
placing
pressure
on
the
healthcare
system,
and
private
sector
innovating
through
digitalization.
Mobile
applications
for
medical
escort
services
(MA-MES)
could
become
a
sustainable
tool,
assisting
adult
children
in
scheduling
escorts
to
accompany
their
elderly
parents
appointments.
This
creates
new
collaborative
methods
service
processes
services.
research
applies
Unified
Theory
of
Acceptance
Use
Technology
2
(UTAUT
2)
model
identify
intentions
use
MA-MES
parents.
Data
were
gathered
from
350
individuals
age
group
20
59
years
analyzed
using
structural
equation
modeling
(SEM).
findings
indicated
that
performance
expectancy
(PE),
effort
(EE),
social
influence
(SI),
price
value
(PV),
perceived
trust
(PT)
significantly
increased
behavioral
(BI).
Perceived
risk
(PR)
mediated
relationship
between
PT
BI,
while
moderated
effects
BI.
Cohabitation
with
SI
proposes
unique
predict
It
provides
insights
enabling
managers
carry
out
continuous
innovation
MA-MES.
Language: Английский
A Hybrid Genetic Algorithm Approach based on Patient Classification to Optimize Home Health Care Scheduling and Routing
Radhia Zaghdoud,
No information about this author
Olfa Ben Rhaiem,
No information about this author
Marwa Amara
No information about this author
et al.
Engineering Technology & Applied Science Research,
Journal Year:
2024,
Volume and Issue:
14(4), P. 15099 - 15105
Published: Aug. 2, 2024
This
study
aims
to
solve
the
multi-objective
problem
of
home
healthcare
scheduling
and
routing.
The
former’s
objectives
are
upgrade
travel
distance,
workload
balance,
waiting
time
caregivers.
A
novel
approach
was
proposed
based
on
patient
caregiver
clustering
with
K-means++
algorithm
in
first
step
a
hybrid
genetic
optimize
global
operation
second
step.
solved
regarding
deterministic
uncertain
aspect.
parameter
investigated
is
number
patients.
numeric
conducted
prove
performance
recommended
using
Solomon
Benchmark.
Language: Английский
Home healthcare routing and scheduling: operations research approaches and contemporary challenges
Annals of Operations Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 4, 2024
Language: Английский
Home Healthcare Staffing, Routing, and Scheduling Problem With Multiple Shifts and Emergency Considerations
Networks,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 4, 2024
ABSTRACT
Effective
planning
of
human
resources
is
critical
in
designing
an
efficient
home
healthcare
system.
In
this
study,
we
present
a
novel
staffing,
routing,
and
scheduling
problem
inspired
by
real‐world
application.
The
proposed
addresses
set
patients,
with
varying
daily
visit
requirements,
being
served
caregivers
different
qualification
levels
over
multi‐day
multi‐shift
horizon.
aims
to
minimize
the
number
extra
shifts
for
caregivers,
maximize
allocation
emergencies,
sum
route
durations
These
objectives
are
optimized
hierarchically
while
considering
restrictions,
including
time
windows,
skill
matching,
synchronization,
care
continuity,
labor
regulations.
To
tackle
problem,
introduce
mixed‐integer
linear
programming
model.
model
then
extended
two
sets
valid
inequalities
incorporated
enhance
its
tightness.
Computational
experiments
conducted
on
20
instances.
results
highlight
efficiency
extension
increasing
both
instances
that
can
be
solved
optimality
which
feasible
solution
found.
Language: Английский