Navigating ethical considerations in the use of artificial intelligence for patient care: A systematic review
International Nursing Review,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 15, 2024
Abstract
Aim
To
explore
the
ethical
considerations
and
challenges
faced
by
nursing
professionals
in
integrating
artificial
intelligence
(AI)
into
patient
care.
Background
AI's
integration
practice
enhances
clinical
decision‐making
operational
efficiency
but
raises
concerns
regarding
privacy,
accountability,
informed
consent,
preservation
of
human‐centered
Methods
A
systematic
review
was
conducted,
following
Preferred
Reporting
Items
for
Systematic
Reviews
Meta‐Analyses
(PRISMA)
guidelines.
Thirteen
studies
were
selected
from
databases
including
PubMed,
Embase,
IEEE
Xplore,
PsycINFO,
CINAHL.
Thematic
analysis
identified
key
themes
related
to
AI
use
nursing.
Results
The
highlighted
critical
challenges,
such
as
data
privacy
security,
accountability
AI‐driven
decisions,
transparency
decision‐making,
maintaining
human
touch
findings
underscore
importance
stakeholder
engagement,
continuous
education
nurses,
robust
governance
frameworks
guide
implementation
Discussion
results
align
with
existing
literature
on
complexities
healthcare.
Addressing
these
requires
strengthening
competencies
AI,
advocating
patient‐centered
design,
ensuring
that
upholds
standards.
Conclusion
Although
offers
significant
benefits
practice,
it
also
introduces
must
be
carefully
managed.
Enhancing
education,
promoting
developing
comprehensive
policies
are
essential
ethically
Implications
can
improve
efficiency,
nurses
actively
preserve
humanistic
care
aspects
through
ongoing
involvement
governance.
Health
Policy
Establish
protection
tailored
Support
professional
development
allocate
resources
Язык: Английский
Navigating AI in Cardiology: A Scoping Review of Integration through Clinical Decision Support Systems for Acute Coronary Syndrome
Biomedical Journal,
Год журнала:
2025,
Номер
unknown, С. 100853 - 100853
Опубликована: Апрель 1, 2025
The
integration
of
AI
in
diagnosing
and
managing
ACS
shows
increasing
promise,
yet
challenges
remain
translating
AI-CDSS
into
clinical
practice.
This
study
evaluates
the
advancements
limitations
for
over
past
three
years,
purpose
understanding
scope,
limitations,
potential
ACS.
We
conducted
a
systematic
review
recent
literature,
adhering
to
guidelines
reviews.
applied
QUADAS-2
PROBAST
tools
quality
assessment,
focusing
on
biases
designs.
Ten
studies
about
management
underwent
critical
analysis,
emphasizing
strength
their
research
methods
thoroughness
prospective
validation
ensure
theoretical
integrity
practical
reliability.
Our
reveals
that
while
discourse
around
intensifies,
obstacles
hinder
efficacy
settings.
These
include
tests
unrepresentative
patient
selection,
pointing
need
rigorous
inclusive
samples.
lack
sufficient
external
also
raises
concerns
utility
AI-CDSS.
result
is
gap
between
benefits
actual
impact
improving
diagnostic
accuracy
outcomes
identified.
While
promise
accuracy,
treatment
efficacy,
workflows
ACS,
this
highlights
imperative
enhance
model
validation,
including
address
lingering
gaps.
Improving
design
mitigating
crucial
acceptance
effectiveness
acute
cardiac
care
Язык: Английский
An artificial intelligence perspective on geriatric syndromes: assessing the information accuracy and readability of ChatGPT
European Geriatric Medicine,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 21, 2025
Язык: Английский
Artificial intelligence-assisted decision making in long-term care: qualitative study on prerequisites for responsible innovation (Preprint)
JMIR Nursing,
Год журнала:
2024,
Номер
7, С. e55962 - e55962
Опубликована: Май 24, 2024
Although
the
use
of
artificial
intelligence
(AI)-based
technologies,
such
as
AI-based
decision
support
systems
(AI-DSSs),
can
help
sustain
and
improve
quality
efficiency
care,
their
deployment
creates
ethical
social
challenges.
In
recent
years,
a
growing
prevalence
high-level
guidelines
frameworks
for
responsible
AI
innovation
has
been
observed.
However,
few
studies
have
specified
embedding
AI-DSSs,
in
specific
contexts,
nursing
process
long-term
care
(LTC)
older
adults.
Язык: Английский
User Perspectives of Geriatric German Patients on Smart Sensor Technology in Healthcare
Sensors,
Год журнала:
2023,
Номер
23(22), С. 9124 - 9124
Опубликована: Ноя. 11, 2023
With
consideration
of
the
progressing
aging
our
societies,
introduction
smart
sensor
technology
can
contribute
to
improvement
healthcare
for
older
patients
and
reductions
costs
care.
From
clinical
medico-ethical
points
view,
advantages
are
copious.
However,
any
ethical
evaluation
an
a
new
in
medical
practice
requires
inclusion
patients'
perspectives
their
assessments.
We
have
conducted
qualitative,
semi-structured,
exploratory
interviews
with
11
order
gain
subjective
opinions
on
use
devices
rehabilitation
purposes.
The
were
analyzed
using
methods
qualitative
content
thematic
analyses.
In
analysis,
we
focused
aspects
adoption
this
practice.
Most
interviewees
expressed
trust
technology,
foremost
because
its
accuracy.
Several
respondents
stated
apprehension
that
sensors
will
lead
change
patient-healthcare
professional
relationship.
Regarding
into
healthcare,
divided
between
health
insurance
bearing
individual
participation
corresponding
costs.
had
no
concerns
about
protection
privacy
or
personal
information.
Considering
these
results,
users'
literacy
regarding
possible
threats
connected
putting
is
precondition
application
sensors.
This
should
occur
form
extended
well-designed
patient
information
adapted
levels
understanding.
Moreover,
needs
be
accompanied
careful
anamnesis
patient's
needs,
life
goals,
capabilities,
concerns.
Язык: Английский
Artificial intelligence-assisted decision-making in long-term care: a qualitative study on opportunities and prerequisites for responsible innovation (Preprint)
Опубликована: Янв. 1, 2024
BACKGROUND
Although
the
use
of
artificial
intelligence
(AI)–based
technologies,
such
as
AI-based
decision
support
systems
(AI-DSSs),
can
help
sustain
and
improve
quality
efficiency
care,
their
deployment
creates
ethical
social
challenges.
In
recent
years,
a
growing
prevalence
high-level
guidelines
frameworks
for
responsible
AI
innovation
has
been
observed.
However,
few
studies
have
specified
embedding
AI-DSSs,
in
specific
contexts,
nursing
process
long-term
care
(LTC)
older
adults.
OBJECTIVE
Prerequisites
AI-assisted
decision-making
practice
were
explored
from
perspectives
nurses
other
professional
stakeholders
LTC.
METHODS
Semistructured
interviews
conducted
with
24
professionals
Dutch
LTC,
including
nurses,
coordinators,
data
specialists,
centralists.
A
total
2
imaginary
scenarios
about
AI-DSSs
developed
beforehand
used
to
enable
participants
articulate
expectations
regarding
opportunities
risks
decision-making.
addition,
6
principles
probing
themes
evoke
further
consideration
associated
using
Furthermore,
asked
brainstorm
possible
strategies
actions
design,
implementation,
address
or
mitigate
these
risks.
thematic
analysis
was
performed
identify
prerequisites
this
area.
RESULTS
The
stance
on
is
not
matter
purely
positive
negative
but
rather
nuanced
interplay
elements
that
lead
weighed
perception
Both
identified
relation
early
identification
needs,
guidance
devising
strategies,
shared
decision-making,
workload
work
experience
caregivers.
To
optimally
balance
seven
categories
identified:
(1)
regular
deliberation
collection;
(2)
balanced
proactive
nature
AI-DSSs;
(3)
incremental
advancements
aligned
trust
experience;
(4)
customization
all
user
groups,
clients
caregivers;
(5)
measures
counteract
bias
narrow
perspectives;
(6)
human-centric
learning
loops;
(7)
routinization
AI-DSSs.
CONCLUSIONS
could
turn
into
drawbacks
depending
shaping
design
Therefore,
we
recommend
considering
balancing
act.
Moreover,
interrelatedness
prerequisites,
call
various
actors,
developers
users
cohesively
different
factors
important
practice.
Язык: Английский
Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care
Journal of the American Medical Directors Association,
Год журнала:
2024,
Номер
25(9), С. 105105 - 105105
Опубликована: Июнь 21, 2024
This
article
proposes
a
framework
for
examining
the
ethical
and
legal
concerns
using
artificial
intelligence
(AI)
in
post-acute
long-term
care
(PA-LTC).
It
argues
that
established
frameworks
on
health,
AI,
law
should
be
adapted
to
specific
contexts.
For
residents
PA-LTC,
their
social,
psychological,
mobility
needs
act
as
gauge
benefits
risks
of
integrating
AI
into
care.
Using
those
gauge,
4
areas
particular
concern
are
identified.
First,
threat
poses
autonomy
can
undermine
core
needs.
Second,
how
discrimination
bias
algorithmic
decision-making
Medicare
coverage
causing
doctors'
recommendations
ignored
denying
they
entitled
to.
Third,
privacy
rules
concerning
data
use
may
developers'
ability
train
accurate
systems,
limiting
usefulness
PA-LTC
Fourth,
importance
obtaining
consent
before
is
used
discussions
about
continue
if
there
an
ongoing
decline
cognition.
Together,
these
considerations
elevate
existing
adapt
them
context-specific
case
PA-LTC.
hoped
future
research
will
examine
implications
matters
each
cases.
Язык: Английский
Can AI-supported Systems Help with Aftercare Planning? Opportunities and Challenges from a Clinical Perspective
Proceedings of Mensch und Computer 2019,
Год журнала:
2024,
Номер
unknown, С. 655 - 659
Опубликована: Авг. 26, 2024
Язык: Английский
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study
JMIR Aging,
Год журнала:
2024,
Номер
7, С. e57899 - e57899
Опубликована: Дек. 17, 2024
Abstract
Background
Geriatric
comanagement
has
been
shown
to
improve
outcomes
of
older
surgical
inpatients.
Furthermore,
the
choice
discharge
location,
that
is,
continuity
care,
can
have
a
fundamental
impact
on
convalescence.
These
challenges
and
demands
led
SURGE-Ahead
project
aims
develop
clinical
decision
support
system
(CDSS)
for
geriatric
in
clinics
including
best
care
option,
supported
by
artificial
intelligence
(AI)
algorithms.
Objective
This
qualitative
study
explore
current
patient
care.
Based
these
challenges,
explores
attitude
interviewees
toward
introduction
an
AI-supported
CDSS
(AI-CDSS)
surgery,
focusing
technical
general
wishes
about
AI-CDSS,
as
well
ethical
considerations.
Methods
In
this
study,
15
personal
interviews
with
physicians,
nurses,
physiotherapists,
social
workers,
employed
departments
at
university
hospital
Southern
Germany,
were
conducted
April
2022.
Interviews
person,
transcribed,
coded
2
researchers
(AU,
LB)
using
content
thematic
analysis.
During
analysis,
quotes
sorted
into
main
categories
use
considerations
authors
LB).
The
themes
subsequently
described
narrative
synthesis,
citing
key
quotes.
Results
total,
399
extracted
categorized
from
interviews.
Most
could
be
assigned
primary
code
(111
quotes),
most
frequent
subcode
being
medical
(45
quotes).
More
chances
AI-CDSS
(37
its
holistic
overview
(16
then
limits
(26
Regarding
intuitive
usability
(15
followed
mobile
availability
easy
access
(11
category
aspects
,
critical
position
trust
(9
subcodes
respecting
patient’s
will
individual
situation
(8
quotes)
responsibility
remaining
hands
humans
(7
Conclusions
Support
regarding
responsible
handling
AI-based
recommendations,
necessity
approach
focused
usability,
important
topics
health
professionals
surgery
development
findings,
together
wish
preserve
patient-caregiver
relationship,
help
set
focus
ongoing
CDSS.
Язык: Английский