Recently,
the
primary
reason
for
blindness
in
adults
has
been
diabetic
retinopathy
(DR)
disease.
Therefore,
there
is
an
increasing
demand
a
real-time
efficient
classification
and
detection
system
to
overcome
fast-growing
disease
(DR).
We
introduced
novel
deep
hybrid
model
auto-mated
recognition
classification.
Our
leverages
power
of
CNN
architectures:
Inception
V3
VGG16
models
by
combining
their
strengths
cater
exact
requirements.
efficiently
captures
fine
features
wide-ranging
such
as
textures
edges,
crucial
classifying
initial
signs
DR.
Similarly,
V3’s
architecture
proficient
at
detecting
multiscale
patterns,
providing
extensive
setting
shaping
occurrence
more
complex
DR
severity
stages.
allows
extraction
various
appearance
retinal
images,
which
can
better
assist
proposed
evaluated
on
diverse
datasets,
including
EyePACS1
APTOS2019,
demonstrating
confident
performance
99.63%
accuracy
levels
dataset,
while
98.70%
APTOS2019
indicating
that
our
well
distinguished
different
stages
highly
detection.
This
helps
clinicians
medical
experts
classify
identify
early.
automatic
manage
treat
patient
effectively
introduces
timely
treatment.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 308 - 326
Опубликована: Фев. 9, 2024
This
chapter
explores
the
ever-changing
environment
of
wearable
health
technology
and
its
critical
role
in
transforming
modern
healthcare.
It
goes
into
historical
history
these
devices,
tracking
their
path
from
basic
fitness
trackers
to
sophisticated
health-monitoring
systems,
focusing
on
proactive
preventative
management.
The
present
scene
emphasizes
range
breadth
accessible
discusses
sensor
improvements,
biometric
monitoring,
wireless
communications.
These
advancements
have
significantly
improved
precision
effectiveness
monitoring
numerous
markers.
also
thoroughly
reviews
use
devices
remote
patient
emphasizing
revolutionary
influence
chronic
illness
management
senior
care
through
real-world
case
studies.
Furthermore,
investigates
integration
device
data
healthcare
systems
for
real-time
covering
technological
infrastructure
issues.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 112 - 135
Опубликована: Фев. 9, 2024
This
chapter
explores
the
growing
applications
of
deep
learning
(DL)
in
field
ophthalmology.
Specifically,
it
examines
integration
and
efficacy
DL
systems
enhancing
patient
outcomes,
particularly
diagnosis
management
conditions
such
as
diabetic
retinopathy,
age-related
macular
degeneration,
retinopathy
prematurity.
It
also
outlines
how
algorithms
are
employed
to
analyze
complex
datasets
retinal
images,
enabling
early
detection,
precise
diagnosis,
effective
treatment
strategies.
addresses
challenges
inherent
integrating
AI
into
clinical
practice,
including
issues
related
data
bias,
algorithmic
reliability,
ethical
concerns,
need
for
diverse,
representative
datasets.
proposes
a
roadmap
responsible
implementation
ophthalmology,
emphasizing
importance
continuous
research,
development,
considerations.
Overall,
this
presents
vision
where
these
technologies
not
only
enhance
practice
but
promote
improved
health
outcomes
eye
care.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 223 - 241
Опубликована: Фев. 9, 2024
This
chapter
explores
the
crucial
responsibility
of
strengthening
cybersecurity
measures
within
ever-changing
context
contemporary
healthcare
systems.
As
digitalization
gets
ingrained
in
practices,
sensitive
medical
data
becomes
increasingly
vulnerable
to
cyber-attacks.
The
second
portion
significant
effects
breaches
on
industry,
focusing
patient
safety
issues,
potential
compromises
private
health
information,
and
resulting
harm
organizations'
finances
reputations.
third
segment
examines
compliance
with
laws
like
HIPAA
GDPR
as
it
navigates
ethical
regulatory
issues
inherent
cybersecurity.
It
moral
conundrums
raised
by
precautions,
achieving
a
careful
balance
between
confidentiality
accessibility.
last
section
provides
forward-looking
viewpoint
projecting
upcoming
difficulties
technological
developments
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 20 - 45
Опубликована: Фев. 9, 2024
Serious
games
offer
an
innovative
blend
of
entertainment
and
learning
in
medical
education.
This
chapter
examines
the
technological
underpinnings,
challenges,
potential
future
developments
this
domain.
Drawing
from
publications
between
2018
2023,
systematic
review
highlights
role
technologies
such
as
web
mobile
applications,
game
engines,
augmented
reality,
virtual
mixed
artificial
intelligence
personalizing
enhancing
experience.
However,
use
serious
education
also
faces
several
including
need
for
adequate
infrastructure,
complex
effectiveness
assessments,
integration
into
existing
curricula.
Moreover,
outlines
projections
further
research.
The
authors
reveal
how
have
to
transform
be
more
engaging,
interactive,
effective,
inspire
research
development
methods.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 283 - 307
Опубликована: Фев. 9, 2024
The
rapidly
evolving
field
of
telemedicine
is
transforming
the
accessibility
and
delivery
healthcare.
This
chapter
delves
into
how
enhances
healthcare
access,
brings
treatment
patients'
homes,
addresses
care
deficits
in
underdeveloped
areas.
It
covers
key
facets
telemedicine,
including
store-and-forward
methods,
remote
patient
monitoring,
teleconsultation
across
various
medical
conditions.
Significantly,
emerged
as
a
crucial
approach
to
adhere
social
distancing
norms
while
providing
during
COVID-19
pandemic.
evaluates
benefits
applications
compared
traditional
in-person
consultations,
focusing
on
cost-effectiveness,
time
efficiency,
its
importance
areas
lacking
local
providers.
Additionally,
it
examines
factors
successful
implementation
such
digital
readiness,
competency
patients
professionals,
regulatory
frameworks
governing
exchange
use
data.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 201 - 221
Опубликована: Фев. 9, 2024
Ensuring
human
health
safety
necessitates
rigorous
biosafety
evaluations
of
substances
and
materials,
particularly
in
the
context
in-vivo
exposure.
Biodegradable
known
for
their
natural
decomposition
capabilities
through
biological
mechanisms,
may
exhibit
toxicological
profiles
differing
from
non-biodegradable
substances.
Prior
to
application
medical
devices
such
as
stents
implants,
it
is
imperative
conduct
thorough
testing
ascertain
safety.
This
chapter
aims
provide
a
comprehensive
assessment
various
biodegradable
materials.
The
authors
employ
an
integrative
approach,
combining
in-vitro
ion-tolerance
assays
with
microanalysis
techniques.
dual
methodology
allows
detailed
evaluation
materials'
biocompatibility
potential
toxicity,
focusing
on
nanomaterial-induced
toxicity
neural
tissues.
These
findings
offer
critical
insights
into
safe
biomedical
underpinning
informed
decision-making
usage
applications.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 242 - 260
Опубликована: Фев. 9, 2024
Assessing
the
preparedness
of
Ghana's
health
sector
is
a
crucial
task
that
requires
comprehensive
and
multi-faceted
approach.
faces
many
challenges,
including
limited
resources,
inadequate
infrastructure,
workforce
shortages,
which
can
impede
delivery
quality
healthcare
services
to
population.
Thus,
building
strong
resilience
system
essential
cope
with
catastrophic
events,
capacity
prepare
effectively
respond
pandemics.
The
COVID-19
pandemic
has
highlighted
critical
role
digital
technologies
in
managing
public
emergencies.
In
context
long-term
management,
transformation
provide
numerous
benefits,
such
as
improving
speed
efficiency
response,
enhancing
communication
collaboration,
enabling
remote
access
services.
Empirically,
our
study
found
individual
systemic
are
significant
predictors
management.
Conversely,
community
times
crisis
not
predictor.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 261 - 282
Опубликована: Фев. 9, 2024
Recent
years
have
witnessed
a
significant
convergence
of
artificial
intelligence
(AI)
within
the
healthcare
sector.
This
chapter
explores
transformative
potential
and
challenges
posed
by
these
intelligent
technologies
in
healthcare.
It
various
domains
such
as
predictive
analytics,
telemedicine,
personalized
medicine,
enhancement
operational
efficiencies.
The
findings
underscore
AI
smart
revolutionizing
delivery.
carries
extensive
implications
for
Healthcare
practitioners
administrators
can
leverage
insights
to
strategically
incorporate
solutions,
aiming
improve
patient
outcomes
enhance
organizational
efficiency.
Additionally,
provide
valuable
guidance
policymakers
stakeholders,
informing
creation
guidelines
standards
that
foster
innovation,
ensure
safety,
protect
data
security.
Therefore,
this
is
an
essential
guide
effectively
embracing
role
advancing
practices.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 89 - 110
Опубликована: Фев. 9, 2024
Radiation
therapy
(or
radiation
oncology)
plays
a
crucial
role
in
the
treatment
of
cancer,
requiring
advanced
medical
practices
and
strong
health
literacy
on
part
healthcare
professionals.
This
chapter
aims
to
explore
with
literature
review
how
emerging
technologies
can
be
integrated
into
improve
patient
effectiveness
practice.
The
application
such
as
virtual
reality,
artificial
intelligence,
digital
communication
radiotherapy
highlights
their
implications
for
professional
education
attitude,
treatment,
development
optimization
protocols.
Nowadays,
knowledge
has
become
tool
meet
challenges
an
increasingly
digitized
society.
Staying
up-to-date
understanding
key
navigating
this
landscape.
ability
learn
adapt
quickly
also
valuable
skill
during
constant
change
global
