BMC Health Services Research,
Год журнала:
2024,
Номер
24(1)
Опубликована: Окт. 25, 2024
The
use
of
Artificial
Intelligence
(AI)
tools
in
hospital
management
holds
potential
for
enhancing
decision-making
processes.
This
study
investigates
the
current
state
management,
explores
benefits
AI
integration,
and
examines
managers'
perceptions
as
a
decision-support
tool.
A
descriptive
exploratory
was
conducted
using
qualitative
approach.
Data
were
collected
through
semi-structured
interviews
with
15
managers
from
various
departments
institutions.
transcribed,
anonymized,
analyzed
thematic
coding
to
identify
key
themes
patterns
responses.
Hospital
highlighted
inefficiencies
processes,
often
characterized
by
poor
communication,
isolated
decision-making,
limited
data
access.
traditional
like
spreadsheet
applications
business
intelligence
systems
remains
prevalent,
but
there
is
clear
need
more
advanced,
integrated
solutions.
Managers
expressed
both
optimism
skepticism
about
AI,
acknowledging
its
improve
efficiency
while
raising
concerns
privacy,
ethical
issues,
loss
human
empathy.
identified
challenges,
including
variability
technical
skills,
fragmentation,
resistance
change.
emphasized
importance
robust
infrastructure
adequate
training
ensure
successful
integration.
reveals
complex
landscape
where
are
balanced
significant
challenges
concerns.
Effective
integration
requires
addressing
technical,
ethical,
cultural
focus
on
maintaining
elements
decision-making.
seen
powerful
tool
support,
not
replace,
judgment
promising
improvements
efficiency,
accessibility,
analytical
capacity.
Preparing
healthcare
institutions
necessary
providing
specialized
crucial
maximizing
mitigating
associated
risks.
BMC Anesthesiology,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 3, 2025
In
medicine,
Artificial
intelligence
has
begun
to
be
utilized
in
nearly
every
domain,
from
medical
devices
the
interpretation
of
imaging
studies.
There
is
still
a
need
for
more
experience
and
studies
related
comprehensive
use
AI
medicine.
The
aim
present
study
evaluate
ability
make
decisions
regarding
anesthesia
methods
compare
most
popular
programs
this
perspective.
included
orthopedic
patients
over
18
years
age
scheduled
limb
surgery
within
1-month
period.
Patients
classified
as
ASA
I-III
who
were
evaluated
clinic
during
preoperative
period
study.
method
preferred
by
anesthesiologist
operation
patient's
demographic
data,
comorbidities,
medications,
surgical
history
recorded.
obtained
patient
data
discussed
if
presenting
scenario
using
free
versions
ChatGPT,
Copilot,
Gemini
applications
different
did
not
perform
operation.
Over
course
1
month,
total
72
enrolled
It
was
observed
that
both
specialists
application
chose
spinal
same
68.5%
cases.
This
rate
higher
compared
other
applications.
For
taking
medication,
it
presented
choices
highly
compatible
(85.7%)
with
anesthesiologists'
preferences.
cannot
fully
master
guidelines
exceptional
specific
cases
arrive
treatment.
Thus,
we
believe
can
serve
valuable
assistant
rather
than
replacing
doctors.
Medical
students,
as
future
healthcare
professionals,
are
pivotal
in
the
adoption
and
application
of
artificial
intelligence
(AI)
clinical
settings.
Their
ability
to
effectively
engage
with
AI
technologies
is
shaped
by
their
understanding,
attitudes,
perceived
significance
medicine.
Given
growing
prominence
medical
field,
it
crucial
evaluate
how
well-prepared
students
integrate
use
these
proficiently.
The
cross-sectional
study
was
conducted
among
482
undergraduate
at
a
college
Central
India
objective
readiness
for
integration
into
practice,
utilizing
Artificial
Intelligence
Readiness
Scale
Students
(MAIRS-MS)
questionnaire.
mean
age
respondents
21.39
±
1.770
years
282
(58.5%)
male
participants.
were
almost
equally
distributed
all
Bachelor
Medicine
Surgery
(MBBS)
batch
students.
average
MAIRS-MS
score
came
out
be
74.61
10.137
maximum
110,
whereas
values
various
subscales
follows:
Cognition
Factor,
26.23
4.417;
Ability
27.62
4.372;
Vision
10.37
1.803;
Ethics
10.39
1.789.
Although
there
overall
respondents,
significant
variation
exists
individuals,
especially
areas
Ability.
data
highlights
necessity
focused
educational
programs
improve
knowledge,
skills,
ethical
ensuring
that
every
respondent
well-equipped
handle
advancing
field
BMC Health Services Research,
Год журнала:
2024,
Номер
24(1)
Опубликована: Окт. 25, 2024
The
use
of
Artificial
Intelligence
(AI)
tools
in
hospital
management
holds
potential
for
enhancing
decision-making
processes.
This
study
investigates
the
current
state
management,
explores
benefits
AI
integration,
and
examines
managers'
perceptions
as
a
decision-support
tool.
A
descriptive
exploratory
was
conducted
using
qualitative
approach.
Data
were
collected
through
semi-structured
interviews
with
15
managers
from
various
departments
institutions.
transcribed,
anonymized,
analyzed
thematic
coding
to
identify
key
themes
patterns
responses.
Hospital
highlighted
inefficiencies
processes,
often
characterized
by
poor
communication,
isolated
decision-making,
limited
data
access.
traditional
like
spreadsheet
applications
business
intelligence
systems
remains
prevalent,
but
there
is
clear
need
more
advanced,
integrated
solutions.
Managers
expressed
both
optimism
skepticism
about
AI,
acknowledging
its
improve
efficiency
while
raising
concerns
privacy,
ethical
issues,
loss
human
empathy.
identified
challenges,
including
variability
technical
skills,
fragmentation,
resistance
change.
emphasized
importance
robust
infrastructure
adequate
training
ensure
successful
integration.
reveals
complex
landscape
where
are
balanced
significant
challenges
concerns.
Effective
integration
requires
addressing
technical,
ethical,
cultural
focus
on
maintaining
elements
decision-making.
seen
powerful
tool
support,
not
replace,
judgment
promising
improvements
efficiency,
accessibility,
analytical
capacity.
Preparing
healthcare
institutions
necessary
providing
specialized
crucial
maximizing
mitigating
associated
risks.
