Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 12
Опубликована: Июнь 5, 2024
This
chapter
focuses
on
the
best
relationship
between
humanity
and
AI
in
healthcare.
The
focus
this
is
patient-centered
approach
hospitals
with
AI.
research
emphasizes
human
resource
talent
to
foster
agility
healthcare
industries
for
managing
high-end
growth.
In
passionate
zealous
world,
HRM
promotes
advanced,
quick,
fast
decisions.
Innovations
through
promote
strategies
give
birth
opportunities,
if
plans
activities
properly
adopts
new
technologies
sector
from
time
as
per
requirement,
then
HR
works
more
efficiently
effectively.
Professionals
are
focusing
fostering
agility,
making
work
accurate
time-saving,
avoiding
replications,
good
decision-making
short-term
long-term
welfare
of
industries.
To
enhance
strategic
capabilities,
humans
must
embrace
learning
an
environment
innovation,
knowledge
development
practices.
discusses
healthcare's
growth
patients'
priorities.
Computer Supported Cooperative Work (CSCW),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 24, 2024
Abstract
In
this
paper
we
present
an
ethnographic
study
of
the
work
histopathologists
as
they
grapple
with
twin
innovations
transitioning
to
digital
biopsy
images
and
prospective
adoption
AI-based
clinical
decision
support
system
(CDSS).
We
explore
how
are
adapting
former
their
expectations
latter.
The
study’s
ethnomethodologically-informed
ethnography
approach
brings
light
some
key
issues
regarding
nature
diagnostic
work,
accountability
trust
that
central
successful
technological
in
settings.
Objectives
Lack
of
trust
and
transparency
is
stressed
as
a
challenge
for
clinical
implementation
artificial
intelligence
(AI).
In
breast
cancer
screening,
AI-supported
reading
shows
promising
results
but
more
research
needed
on
how
medical
experts,
which
are
facing
the
integration
AI
into
their
work,
reason
about
information
needs.
From
sociotechnical
practice
perspective,
we
add
to
this
knowledge
by
Swedish
case
study.
This
study
aims
to:
(1)
clarify
radiologists’
views
trust,
expertise
pertaining
in
mammography
screening
(2)
analytically
address
ideas
professionals’
critical
engagement
with
motivations
AI.
Method
An
online
survey
was
distributed
radiologists.
Survey
responses
were
analysed
descriptive
statistical
method,
correlation
analysis
qualitative
content
analysis.
The
used
foundation
analysing
parts
engagements
Results
Of
radiologists
(
n
=
105),
47
answered
(response
rate
44.8%).
53.2%
25)
respondents
would
high/somewhat
high
degree
assessments.
To
great
extent,
additional
support
respondents’
evaluations.
What
type
professionals
expected
perform
decision
remains
unclear.
Conclusions
There
demand
enhanced
information,
explainability
mammography.
Further
discussion
agreement
considering
what
desired
goals
should
be
it
relates
evaluation
AI-made
claims
support.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 12
Опубликована: Июнь 5, 2024
This
chapter
focuses
on
the
best
relationship
between
humanity
and
AI
in
healthcare.
The
focus
this
is
patient-centered
approach
hospitals
with
AI.
research
emphasizes
human
resource
talent
to
foster
agility
healthcare
industries
for
managing
high-end
growth.
In
passionate
zealous
world,
HRM
promotes
advanced,
quick,
fast
decisions.
Innovations
through
promote
strategies
give
birth
opportunities,
if
plans
activities
properly
adopts
new
technologies
sector
from
time
as
per
requirement,
then
HR
works
more
efficiently
effectively.
Professionals
are
focusing
fostering
agility,
making
work
accurate
time-saving,
avoiding
replications,
good
decision-making
short-term
long-term
welfare
of
industries.
To
enhance
strategic
capabilities,
humans
must
embrace
learning
an
environment
innovation,
knowledge
development
practices.
discusses
healthcare's
growth
patients'
priorities.
