Synthetic healthcare data utility with biometric pattern recognition using adversarial networks
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 21, 2025
This
research
examines
the
significance
of
privacy
synthetic
data
in
healthcare
and
biomedicine
by
an
analysis
actual
data.
The
authentic
health
care
necessitates
secure
transmission
such
exclusively
to
authorized
users.
Therefore,
minimise
reliance
on
data,
is
developed
incorporating
diverse
biometric
pattern
representations,
necessitating
a
distinct
setup
with
adversarial
scenarios.
Furthermore,
improve
quality
deep
convolutional
network
examined
under
several
operational
modes.
conditional
metric
employed
this
instance
avert
loss
so
ensuring
consistent
transmissions.
system
model
examining
numerous
parameters
associated
matching,
classification
losses,
privacy,
information
leakage,
relocations,
deformations,
which
are
merged
corresponding
framework.
To
validate
results
integrated
model,
four
scenarios
two
case
studies
examined,
demonstrating
that
successful
creation
can
be
achieved
artificially
minimal
losses
5%.
Language: Английский
Transition from paper-based to digital systems involving Biometrics utilisation in healthcare facilities in Lusaka, Zambia (Preprint)
Published: Nov. 23, 2024
BACKGROUND
The
transition
from
paper-based
to
digital
systems
in
healthcare
facilities
has
been
driven
by
the
need
for
improved
efficiency
and
accuracy.
Implementing
biometric
systems,
such
as
fingerprint
recognition,
a
significant
component
of
this
transformation.
This
study
aimed
assess
utilising
biometrics
Lusaka,
Zambia
OBJECTIVE
METHODS
A
phenomenological
approach
was
employed
gather
in-depth
insights
participants,
including
Ministry
Health
officials,
workers,
end-users
(patients).
Semi-structured
interviews
were
conducted
across
selected
Lusaka
Province,
with
data
collected
both
English
Chinyanja.
Thematic
analysis
using
NVivo
version
12
applied
identify
recurring
themes
patterns
related
implementing
managing
systems.
RESULTS
found
that
significantly
patient
identification
management.
Participants
reported
enhanced
accuracy
records,
reduced
duplication,
streamlined
access
information.
However,
challenges
technical
issues
power
outages
privacy
concerns
noted.
Additionally,
barriers
acceptance
included
lack
information,
logistical
challenges,
community
misconceptions
about
technology.
CONCLUSIONS
particularly
integration
technologies,
demonstrated
considerable
benefits
settings,
operational
efficiency.
Despite
these
advantages,
addressing
perceptual
along
enhancing
education,
is
crucial
maximizing
achieving
successful
Zambia.
Language: Английский