Hospital
discharge
for
older
adult
patients
carries
risks.
Effective
patient-provider
communication
is
crucial
postacute
care.
Technology-based
tools
are
promising
in
improving
patient
experience
and
outcomes.
However,
there
limited
evidence
comparing
provider
user
experiences
on
a
large-scale
basis,
hindering
the
exploration
of
true
shared
understanding.
This
study
aimed
to
evaluate
an
electronic
health
record-based
tool
by
examining
perspectives.
comprised
cross-sectional
self-administered
staff
survey
pre-post
survey.
Physicians,
nurses,
aged
65
years
discharged
from
4
public
hospitals
were
included.
Patient-provider
comparison
items
focused
3
aspects
design
quality
(information
clarity,
adequacy,
usefulness)
overall
satisfaction
with
tool.
In
addition,
patients'
information
their
medication-taking
behaviors
before
after
program
implementation
compared
based
validated
local
instrument.
Providers'
perceived
usefulness
this
work
intentions
measured
technology
acceptance
model
enhance
understanding
conducting
structural
equation
modeling
analysis.
A
total
1375
2353
valid
responses
received
providers
patients,
respectively.
Patients'
significantly
higher
than
providers',
rated
clarity
presented
as
well
(P<.001).
adequacy
lower
Meanwhile,
reported
significant
improvement
medication
information,
fewer
side
effects
encounters
(126/1083,
11.6%
vs
111/1235,
9%;
P=.04).
showed
inconsistent
fidelity.
(β
coefficient=0.24,
95%
CI
0.08-0.40)
coefficient=0.57,
0.43-0.71)
impacted
satisfaction.
Satisfaction
can
impact
coefficient=0.40,
0.17-0.64),
which
further
impacts
coefficient=0.16,
0.10-0.23).
notable
disparity
exists
between
care
providers.
may
hinder
achievement
tool's
benefits.
Future
research
should
aim
comprehensive
overview
barriers
corresponding
strategies
performance
facilitate
Ihlara Eğitim Araştırmaları Dergisi,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 2, 2024
Integrating
Artificial
Intelligence
(AI)
into
education,
especially
in
teaching
English
as
a
Foreign
Language
(EFL),
has
increased
interest
and
curiosity
among
EFL
teachers.
This
systematic
review
examines
the
perspectives
of
both
pre-service
service
teachers
regarding
use
AI
their
practices.
The
focuses
on
studies
published
between
2021
2024.
Scopus
database
was
reviewed,
29
articles
were
analyzed.
study
adopted
review,
content
analysis
utilized
for
data
analysis.
findings
revealed
that
most
commonly
used
research
method
reviewed
literature
qualitative.
generally
regard
tools
helpful
aiding
language
teaching,
increasing
student
engagement,
promoting
personalized
learning,
improving
overall
efficiency.
Moreover,
is
viewed
reducing
teacher
workload
by
contributing
to
lesson
planning,
materials
development,
providing
feedback
students.
However,
also
show
are
concerned
about
using
classrooms.
These
include
potential
promote
cheating
plagiarism
lack
adequate
training
students
utilizing
effectively.
Furthermore,
possibility
students'
over-reliance
AI,
potentially
hindering
critical
thinking
creativity,
ethical
privacy
issues
related
handling
frequently
cited
concerns.
BACKGROUND
Hospital
discharge
for
older
adult
patients
carries
risks.
Effective
patient-provider
communication
is
crucial
post-acute
care.
Technology-based
tools
are
promising
in
improving
patient
experience
and
outcomes.
However,
there
limited
evidence
comparing
provider
user
experiences
on
a
large-scale
basis,
hindering
the
exploration
of
true
shared
understanding.
OBJECTIVE
This
study
aimed
to
evaluate
an
electronic
health
record-based
tool
by
examining
perspectives.
METHODS
comprised
cross-sectional
self-administered
staff
survey
pre-post
survey.
Physicians,
nurses,
aged
65
discharged
from
four
public
hospitals
were
included.
Patient-provider
comparison
items
focused
three
aspects
design
quality
(information
clarity,
adequacy,
usefulness)
overall
satisfaction
with
tool.
Additionally,
patients’
information
their
medication-taking
behaviors
before
after
program
implementation
compared
based
validated
local
instrument.
Providers’
perceived
usefulness
this
work
intentions
measured
Technology
Acceptance
Model
enhance
understanding
conducting
structural
equation
modeling
analysis.
RESULTS
A
total
1,375
2,353
valid
responses
received
providers
patients,
respectively.
Patients’
significantly
higher
than
providers',
as
well
clarity
presented
(P<0.001).
rated
lower
adequacy
that
Meanwhile,
reported
significant
improvement
medication
fewer
side
effects
encounters
(11.6%
vs
9.0%,
P=0.04).
showed
inconsistent
fidelity.
(β
coefficient,
0.24
[95%CI,
0.08
0.40])
0.57
0.43
0.71])
impacted
satisfaction.
Satisfaction
can
impact
0.40
0.17
0.64]),
which
further
impacts
0.16
0.10
0.23]).
CONCLUSIONS
notable
disparity
exists
between
healthcare
providers.
may
hinder
achievement
tool's
benefits.
Future
research
should
aim
comprehensive
overview
barriers
corresponding
strategies
performance
facilitate
The
advent
of
ChatGPT,
an
advanced
AI-driven
language
model,
is
revolutionizing
learning
by
offering
personalized,
interactive
content
and
real-time
feedback.
This
study
investigates
how
university
students'
personality
traits
influence
their
acceptance
ChatGPT-assisted
learning,
utilizing
extended
Technology
Acceptance
Model
(TAM).
Specifically,
the
research
explores
impact
Big
Five
traits—Extraversion,
Agreeableness,
Conscientiousness,
Neuroticism,
Openness—on
key
TAM
constructs
such
as
Perceived
Usefulness
(PU),
Ease
Use
(PEU),
Attitude
(AT),
Behavioral
Intention
(BI).
Using
Structural
Equation
Modeling
(SEM),
findings
reveal
that
Conscientiousness
Openness
significantly
enhance
perceptions
ChatGPT's
usefulness
ease
use,
leading
to
more
positive
attitudes
stronger
intentions
incorporate
tool
into
learning.
In
contrast,
Neuroticism
negatively
affects
these
perceptions,
indicating
challenges
for
students
with
higher
emotional
instability.
highlights
critical
role
in
shaping
integration
ChatGPT
educational
contexts.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 26, 2024
Teachers
play
a
crucial
role
as
end-users
of
technology
in
educational
settings
but
seldom
get
recognition
group
users
with
varying
needs
and
perspectives.
This
paper
analyzes
the
unique
user
characteristics
teachers,
both
terms
general
nature
within
context
established
ed-tech
frameworks
acceptance
models.
The
authors
argue
that
existing
models
inadequately
address
distinct
teachers
therefore
provide
specific
recommendations
for
development
specialized
framework
accounts
teacher’s
criteria.
Hospital
discharge
for
older
adult
patients
carries
risks.
Effective
patient-provider
communication
is
crucial
postacute
care.
Technology-based
tools
are
promising
in
improving
patient
experience
and
outcomes.
However,
there
limited
evidence
comparing
provider
user
experiences
on
a
large-scale
basis,
hindering
the
exploration
of
true
shared
understanding.
This
study
aimed
to
evaluate
an
electronic
health
record-based
tool
by
examining
perspectives.
comprised
cross-sectional
self-administered
staff
survey
pre-post
survey.
Physicians,
nurses,
aged
65
years
discharged
from
4
public
hospitals
were
included.
Patient-provider
comparison
items
focused
3
aspects
design
quality
(information
clarity,
adequacy,
usefulness)
overall
satisfaction
with
tool.
In
addition,
patients'
information
their
medication-taking
behaviors
before
after
program
implementation
compared
based
validated
local
instrument.
Providers'
perceived
usefulness
this
work
intentions
measured
technology
acceptance
model
enhance
understanding
conducting
structural
equation
modeling
analysis.
A
total
1375
2353
valid
responses
received
providers
patients,
respectively.
Patients'
significantly
higher
than
providers',
rated
clarity
presented
as
well
(P<.001).
adequacy
lower
Meanwhile,
reported
significant
improvement
medication
information,
fewer
side
effects
encounters
(126/1083,
11.6%
vs
111/1235,
9%;
P=.04).
showed
inconsistent
fidelity.
(β
coefficient=0.24,
95%
CI
0.08-0.40)
coefficient=0.57,
0.43-0.71)
impacted
satisfaction.
Satisfaction
can
impact
coefficient=0.40,
0.17-0.64),
which
further
impacts
coefficient=0.16,
0.10-0.23).
notable
disparity
exists
between
care
providers.
may
hinder
achievement
tool's
benefits.
Future
research
should
aim
comprehensive
overview
barriers
corresponding
strategies
performance
facilitate
