Purpose
-
Much
of
society's
basic
needs
are
fulfilled
by
services
such
as
healthcare,
education,
communication,
transportation,
among
others.
The
quality
these
is
crucial
for
businesses,
which
has
led
companies
to
invest
in
measuring
service
quality.
academic
literature
reported
the
use
machine
learning
(ML)
techniques
study
results
from
measures.
Therefore,
this
paper
aims
provide
an
overview
application
ML
and
customer
satisfaction
means
a
systematic
review
(SLR).Design/methodology/approach
–
This
SLR
used
Web
Science
Scopus
databases.
After
selecting
screening
papers,
their
full
content
was
analyzed
identify
most
popular
tools,
segments
data
sources
used.Findings
able
106
relevant
papers.
Although
first
published
1995,
topic
gained
significant
attention
starting
2016.
We
found
that
hospitality,
transportation
healthcare
studied
given
facilitated
access
Finally,
also
discusses
other
aspects
publications
tasks
used,
types
databases
industry.Originality/value
summarizes
existing
research
on
applied
analysis
sector
identifies
gaps
be
addressed
future
field.
Frontiers in Public Health,
Journal Year:
2022,
Volume and Issue:
10
Published: Aug. 11, 2022
Syria
is
a
developing
country
that
face
enormous
healthcare
challenges
aggravated
with
the
outbreak
of
COVID-19.
In
study,
we
evaluate
perceived
service
quality
based
on
hospital
type,
public
and
private,
using
five
HEALTHQUAL
dimensions.
We
find
in
Syrian
private
hospitals
better
hospitals.
However,
neither
type
scores
exceptionally
high
any
examined
On
contrary,
both
score
extremely
low
Improvement
dimension.
argue
crowdedness
environment,
medical
staff
availability
their
salaries,
pricing
policies
as
well
health
insurance
system,
are
to
blame
for
such
quality.
Technovation,
Journal Year:
2022,
Volume and Issue:
121, P. 102625 - 102625
Published: Sept. 19, 2022
The
objective
of
this
study
is
to
explore
new
opportunities
for
hospitals
use
patient
feedback
platforms
(i.e.,
digital
on
which
patients
express
their
opinions
care
journeys).Patient
generate
an
ever-expanding
amount
data
experience
that
currently
unused
by
most
hospital
or
business
intelligence
unit.We
used
the
methodological
approach
netnography
negative
received
one
combined
with
interviews
identify
potential
value
generated
platform.The
main
findings
are
a
platform
serves
as
source
indicate:
(1)Where
act
(by
localizing
comments),
(
2)
On
what
(what
thematic
provides
satisfaction
and
therefore
be
kept;
causes
dissatisfaction
thus
improved),
(3)
How
innovate
(ideas
about
practices
implement).It
becomes
evident
developing
service
help
make
sense
raw
can
from
other
improve
own
practices.The
first
implication
our
results
complementary
type
(i.e.
based
perception
not
empirical
fact),
well
patients'
external
spontaneous
internally
controlled
survey
feedback)
Business
Intelligence
unit
engaged
in
transformation
towards
patient-centered
care.The
second
these
create
network
effect
(i.e.A
patient's
than
focal
concerned
feedback,
increasing
overall
platform).The
third
enabled
only
generation
but
also
analysis
services
provided
party
runs
platform.
International Journal of Emerging Markets,
Journal Year:
2023,
Volume and Issue:
unknown
Published: May 27, 2023
Purpose
The
study
aims
to
present
a
systematic
literature
review
(SLR)
understand
the
current
status
of
research
on
social
media
usage
among
bottom
pyramid
(BOP).
purpose
this
is
identify
gaps
in
domain
and
future
agendas
by
using
theory,
context,
characteristics
methods
[TCCM]
framework.
Design/methodology/approach
An
SLR,
keywords
co-occurrence
TCCM
analysis
were
used
analyse
synthesize
insights
from
44
studies
gained
Web
Science
Scopus
databases.
Findings
findings
suggest
that
USA
India
are
popular
contexts
for
studying
BOP.
BOP
population
uses
gain
utilitarian,
hedonic
values.
Further,
can
help
explore
“entrepreneurship”
opportunities,
value
co-creation
bring
innovations.
Originality/value
This
expands
intellectual
boundaries
at
suggests
multidisciplinary
research.
Additionally,
adopting
novel
theoretical
lenses
helped
determine
media's
impact
E-Dimas Jurnal Pengabdian kepada Masyarakat,
Journal Year:
2024,
Volume and Issue:
15(1), P. 106 - 111
Published: March 31, 2024
Media
sosial
muncul
sebagai
saluran
baru
bagi
rumah
sakit
dan
pasien
untuk
mengumpulkan
umpan
balik
tentang
kualitas
pelayanan.
Data
media
sosial,
di
sisi
lain
tidak
terstruktur
volumenya
besar.
Selain
itu,
ada
penelitian
empiris
yang
dilakukan
penggunaan
data
persepsi
pelayanan
berdasarkan
ulasan
online
pasien.
Tujuan
dari
pengabdian
masyarakat
ini
adalah
melakukan
sosialisasi
pentingnya
patient-centered
approach
pendekatan
meningkatkan
service
excellent
sakit.
Dalam
studi
kasus
ini,
kami
428
komentar
halaman
facebook
Rumah
Sakit
Harapan
Keluarga
antara
tahun
2019-2023.
Kami
menggunakan
pembelajaran
mesin
membuat
analisis
sentimen
pengklasifikasi
layanan
(SERVQUAL)
mengidentifikasi
dimensi
SERVQUAL
secara
otomatis.
memeriksa
total
ulasan,
413
(70,32%)
tangibles,
(96,49%)
reliability,
19
(4,43%)
responsiveness,
38
(8,87%)
assurance,
301
empathy.
Digital Health,
Journal Year:
2024,
Volume and Issue:
10
Published: Jan. 1, 2024
Understanding
patient
experience
in
healthcare
is
increasingly
important
and
desired
by
medical
professionals
a
patient-centred
care
approach.
Healthcare
discourse
on
social
media
presents
an
opportunity
to
gain
unique
perspective
patient-reported
experiences,
complementing
traditional
survey
data.
These
reports
often
appear
as
first-hand
accounts
of
patients'
journeys
through
the
system,
whose
details
extend
beyond
confines
structured
surveys
at
far
larger
scale
than
focus
groups.
However,
contrast
with
vast
presence
patient-experience
data
potential
benefits
offers,
it
attracts
comparatively
little
research
attention
due
technical
proficiency
required
for
text
analysis.
In
this
article,
we
introduce
design-acquire-process-model-analyse-visualise
framework
provide
overview
techniques
approach
capture
experiences
from
We
apply
case
study
prostate
cancer
/r/ProstateCancer,
demonstrate
framework's
value
capturing
specific
aspects
concern
(such
sexual
dysfunction),
discourse,
show
narrative
emotional
progression
these
stories.
anticipate
wide
variety
areas
healthcare,
including
differentiating
across
minority
groups,
geographic
boundaries,
types
illnesses.
Journal of Advanced Research in Applied Sciences and Engineering Technology,
Journal Year:
2023,
Volume and Issue:
31(1), P. 90 - 98
Published: June 13, 2023
Ineffective
bed
allocation
across
hospital
departments
leads
to
the
imbalance
between
patients’
needs
and
resource
capacity.
This
study
aims
simulate
arrivals,
measure
departments’
importance
design
a
mathematical
model
for
allocating
beds
which
will
be
realized
by
proposed
three-stage
weighted
optimization
model.
The
stages
consist
of
data
simulation
in
ARENA
software,
weight
evaluation
based
on
occupancy
rate
arrival
rates,
(BOR),
average
length
stay
(ALOS)
operation
cost
(BOC),
using
goal
programming
(GP)
goals
achieved
this
consists
minimizing
idle
total
BOC.
result
shows
that
obstetrics
orthopaedics
wards
obtained
biggest
number
while
dengue
paediatrics
surgery
least
number.
statistical
analysis
made
results
is
most
influential
factor
as
its
Pearson
correlation
value
numbers
0.789,
indicates
strong
correlation.
IAES International Journal of Artificial Intelligence,
Journal Year:
2023,
Volume and Issue:
12(4), P. 1793 - 1793
Published: Aug. 2, 2023
Malaysia
has
many
private’s
hospitals.
Thus,
feedback
is
important
to
improve
service
quality,
becoming
reviews
for
other
patients.
Reviews
use
the
channel
provided
on
social
media,
such
as
Twitter.
Nevertheless,
online
are
unstructured
and
enormous
in
volume,
which
leads
difficulties
comparing
private
In
addition,
no
single
websites
compare
hospitals
based
users’
interests,
bilingual
reviews,
less
time-consuming.
Due
that,
this
study
aims
classify
visualize
Twitter
sentiment
analysis
of
Malaysia.
The
scope
focuses
five
factors:
1)
administrative
procedure,
2)
cost,
3)
communication,
4)
expertise,
5)
service.
Term
frequency-inverse
document
frequency
used
text
mining,
information
retrieval
techniques,
Naïve
Bayes,
a
machine
learning
algorithm
classification.
user
can
specified
state’s
them
with
any
selected
state.
system’s
functionality
usability
have
been
tested
ensure
it
meets
objectives.
Functionality
testing
proved
that
hospital’s
could
be
predicted
training
data
intended,
77.13%
77.96%
accuracy
English
Bahasa
Melayu,
respectively,
while
system
scale
resulted
an
average
final
score
95.42%.
Online Information Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 27, 2024
Purpose
This
study
argues
that
online
user
comments
on
social
media
platforms
provide
feedback
and
evaluation
functions.
These
functions
can
services
for
the
relevant
departments
of
organizations
or
institutions
to
formulate
corresponding
public
opinion
response
strategies.
Design/methodology/approach
considers
Chinese
universities’
events
Weibo
platform
as
research
object.
It
collects
network
governance
strategy
texts
Weibo,
constructs
sentiment
index
based
analysis
evaluates
effectiveness
adopted
by
university
officials.
Findings
found
following:
First,
a
complete
information
release
process
effectively
improve
effect
Second,
strategies
was
significantly
influenced
type
event.
Finally,
is
closely
related
severity
punishment
subjects
involved.
Research
limitations/implications
The
theoretical
contribution
this
lies
in
application
image
repair
theory
field
governance,
which
further
broadens
scope
Originality/value
expands
comment
provides
quantitative
method
evaluating
Peer
review
peer
history
article
available
at:
https://publons.com/publon/10.1108/OIR-05-2022-0269