Heliyon,
Год журнала:
2024,
Номер
10(9), С. e30001 - e30001
Опубликована: Апрель 22, 2024
This
study
primarily
aimed
to
explore
the
capabilities
of
digitalisation
in
healthcare
context,
focusing
on
a
specific
disease.
In
this
case,
examined
potential
remote
monitoring
gait
address
sensitivity
multiple
sclerosis
progression
characteristics
by
adopting
non-invasive
approach
remotely
quantify
disturbances
patient's
daily
life.
To
better
understand
managerial
aspects
associated
with
approach,
researchers
conducted
literature
review
along
set
semi-structured
interviews.
The
target
population
included
MS
patients
as
well
key
agents
involved
their
care:
patients'
family
members,
neurologists,
nurses,
physiotherapists,
medical
directors,
and
pharmacist.
identifies
perceived
barriers
drivers
that
could
contribute
successful
deployment
PSS
service:
i)
At
mega-level
governance.
Implications
privacy
security
data
are
notable
missing
speech.
ii)
macro
level,
funding
is
highlighted
main
barrier.
cost
lack
health
system
subsidies
may
render
initiatives
unsustainable,
emphasised
interviewees.
iii)
meso
usable
recognised
driver.
collection
process
can
align
diverse
interests
create
value
business
opportunities
for
ecosystem
actors,
enhance
care,
attract
stakeholders,
such
insurers
pharma,
form
partnerships.
iv)
micro-level
processes,
we
find
two
barriers:
wearable
device
app
usability
(comfort,
navigation,
efficiency)
organisational/behavioural
(training,
digital
affinity,
skills),
which
crucial
creation
innovation
ecosystems
among
professionals.
Finally,
an
interesting
gap
Stakeholders'
limited
awareness
technological
demands,
especially
from
information
technologies,
long-term
service,
be
consider
PSS.
Abstract
Ineffective
medication
is
a
major
healthcare
problem
causing
significant
patient
suffering
and
economic
costs.
This
issue
stems
from
the
complex
nature
of
diseases,
which
involve
altered
interactions
among
thousands
genes
across
multiple
cell
types
organs.
Disease
progression
can
vary
between
patients
over
time,
influenced
by
genetic
environmental
factors.
To
address
this
challenge,
digital
twins
have
emerged
as
promising
approach,
led
to
international
initiatives
aiming
at
clinical
implementations.
Digital
are
virtual
representations
health
disease
processes
that
integrate
real-time
data
simulations
predict,
prevent,
personalize
treatments.
Early
applications
DTs
shown
potential
in
areas
like
artificial
organs,
cancer,
cardiology,
hospital
workflow
optimization.
However,
widespread
implementation
faces
several
challenges:
(1)
characterizing
dynamic
molecular
changes
biological
scales;
(2)
developing
computational
methods
into
DTs;
(3)
prioritizing
mechanisms
therapeutic
targets;
(4)
creating
interoperable
DT
systems
learn
each
other;
(5)
designing
user-friendly
interfaces
for
clinicians;
(6)
scaling
technology
globally
equitable
access;
(7)
addressing
ethical,
regulatory,
financial
considerations.
Overcoming
these
hurdles
could
pave
way
more
predictive,
preventive,
personalized
medicine,
potentially
transforming
delivery
improving
outcomes.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(11), С. 1101 - 1101
Опубликована: Ноя. 11, 2024
This
review
examines
the
significant
influence
of
Digital
Twins
(DTs)
and
their
variant,
Human
(DHTs),
on
healthcare
field.
DTs
represent
virtual
replicas
that
encapsulate
both
medical
physiological
characteristics-such
as
tissues,
organs,
biokinetic
data-of
patients.
These
models
facilitate
a
deeper
understanding
disease
progression
enhance
customization
optimization
treatment
plans
by
modeling
complex
interactions
between
genetic
factors
environmental
influences.
By
establishing
dynamic,
bidirectional
connections
physical
objects
digital
counterparts,
these
technologies
enable
real-time
data
exchange,
thereby
transforming
electronic
health
records.
Leveraging
increasing
availability
extensive
historical
datasets
from
clinical
trials
real-world
sources,
AI
can
now
generate
comprehensive
predictions
future
outcomes
for
specific
patients
in
form
AI-generated
DTs.
Such
also
offer
insights
into
potential
diagnoses,
progression,
responses.
remarkable
paves
way
precision
medicine
personalized
health,
allowing
high-level
individualized
interventions
therapies.
However,
integration
faces
several
challenges,
including
security,
accessibility,
bias,
quality.
Addressing
obstacles
is
crucial
to
realizing
full
DHTs,
heralding
new
era
personalized,
precise,
accurate
medicine.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 69652 - 69676
Опубликована: Янв. 1, 2024
In
the
dynamic
landscape
of
healthcare,
Digital
Twin
(DT)
technology
has
emerged
as
a
transformative
force,
holding
promise
revolutionizing
patient
care
and
industry
practices.
This
article
surveys
literature
over
period
2020
to
2023
on
comprehensive
exploration
DT
in
elucidating
its
roles,
benefits,
implications
for
smart
personalized
healthcare.
The
study
addresses
fundamental
questions
concerning
potential
DT,
investigating
varied
roles
benefits
revolutionary
impact
industry,
essential
requirements
crafting
system
tailored
demands
research
further
unveils
key
layers
necessary
implementing
healthcare
system,
examining
applications
that
extend
from
diagnostics
treatment
strategies.
Methodologically,
paper
navigates
through
different
model
discussions,
providing
structured
approach
understanding
implementation
Despite
potential,
delves
into
limitations
challenges
faced
by
technology,
offering
balanced
perspective
current
state.
conclusion,
synthesizes
findings,
outlines
methodologies,
discusses
challenges,
sets
stage
future
research,
presenting
holistic
overview
pitfalls,
pathways
integrating
industry.
The
place
of
digital
twin
technology
in
any
healthcare
system
is
a
truly
disruptive
innovation
that
has
profound
consequences
all
across
medical
research
and
practice.
Digital
twins
represent
the
virtual
replicas
correspond
to
some
physical
entity
by
pulling
real-time
data
streams
from
different
sources
model
biological
systems
for
health
monitoring
personalization
treatment
strategies.
This
paper
presents
detailed
review
current
landscape
into
healthcare.
Through
bibliometric
analysis,
we
obtained
1,663
publications
2012
2024,
basically
sourced
Scopus
database,
establishing
portion
trends,
productive
authors,
influential
sources,
collaboration
networks
this
fast-evolving
field.
Descriptively,
our
results
indicate
although
area
started
way
back,
bulk
began
be
realized
2018
onwards,
with
appreciable
contributions
coming
interdisciplinary
fields
artificial
intelligence,
machine
learning,
analytics.
Even
challenges
interoperability
other
privacy
concerns,
change
brought
on
undoubtedly
considerable
promise
chronic
disease
management,
predictive
analytics,
drug
discovery,
surgical
planning.
work
brings
immense
insight
new
domain
health,
which
shall
set
up
strong
foundation
future
area.
Bioengineering,
Год журнала:
2024,
Номер
11(6), С. 606 - 606
Опубликована: Июнь 13, 2024
Digital
twins
are
a
relatively
new
form
of
digital
modeling
that
has
been
gaining
popularity
in
recent
years.
This
is
large
part
due
to
their
ability
update
real
time
physical
counterparts
and
connect
across
multiple
devices.
As
result,
much
interest
directed
towards
using
the
healthcare
industry.
Recent
advancements
smart
wearable
technologies
have
allowed
for
utilization
human
healthcare.
Human
can
be
generated
biometric
data
from
patient
gathered
wearables.
These
then
used
enhance
care
through
variety
means,
such
as
simulated
clinical
trials,
disease
prediction,
monitoring
treatment
progression
remotely.
revolutionary
method
still
its
infancy,
such,
there
limited
research
on
wearables
generate
applications.
paper
reviews
literature
pertaining
twins,
including
methods,
applications,
challenges.
The
also
presents
conceptual
creating
body
sensors.
Clinical Chemistry and Laboratory Medicine (CCLM),
Год журнала:
2024,
Номер
62(11), С. 2156 - 2161
Опубликована: Май 10, 2024
In
recent
years,
the
integration
of
technological
advancements
and
digitalization
into
healthcare
has
brought
about
a
remarkable
transformation
in
care
delivery
patient
management.
Among
these
advancements,
concept
digital
twins
(DTs)
recently
gained
attention
as
tool
with
substantial
transformative
potential
different
clinical
contexts.
DTs
are
virtual
representations
physical
entity
(e.g.,
or
an
organ)
systems
hospital
wards,
including
laboratories),
continuously
updated
real-time
data
to
mirror
its
real-world
counterpart.
can
be
utilized
monitor
customize
health
by
simulating
individual's
status
based
on
information
from
wearables,
medical
devices,
diagnostic
tests,
electronic
records.
addition,
used
define
personalized
treatment
plans.
this
study,
we
focused
some
possible
applications
laboratory
medicine
when
AI
synthetic
obtained
generative
AI.
The
first
point
discussed
how
biological
variation
(BV)
application
could
tailored
individuals,
considering
population-derived
BV
parameters
circadian
ultradian
variations.
Another
enhancing
interpretation
tumor
markers
advanced
cancer
therapy
treatments.
Furthermore,
might
derive
reference
intervals,
also
they
improve
test
results
interpretation.
DT's
widespread
adoption
is
not
imminent,
but
it
far
off.
This
technology
will
likely
offer
innovative
definitive
solutions
for
dynamically
evaluating
treatments
more
precise
diagnoses
medicine.
Digital twins and applications.,
Год журнала:
2025,
Номер
2(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Indoor
environmental
comfort
is
fundamental
to
human
health
as
people
spend
90%
of
their
time
indoors.
This
aspect
even
more
crucial
in
hospitals,
where
the
concept
closely
linked
well‐being,
ethics
and
aspects.
Emerging
methodologies
technologies
such
digital
twin,
building
information
modelling,
internet
things,
sensing
data
analytics
offer
new
opportunities
ensure
healthier
environments
efficient
management.
paper
provides
an
assessment
how
digitalisation
can
support
decision‐making
processes
related
maintaining
high
levels
indoor
hospital
settings,
particularly
by
analysing
real‐time
processing
application
machine
learning
promote
proactive
interventions
these
facilities.
The
methodological
approach
was
based
on
four
phases:
defining
objectives
identifying
input
build
feed
model,
KPIs
evaluate
system's
correct
functioning
enabling
be
integrated
into
system
achieve
set
goal.
result
a
twin
for
managing
operating
room
its
services,
with
aim
guiding
decisions
accurate
improving
operational
efficiency,
comfort,
safety
regarding
diffusion
medical
gases.
Journal of Lifestyle and SDGs Review,
Год журнала:
2025,
Номер
5(4), С. 06107 - 06107
Опубликована: Март 24, 2025
Objectives:
This
study
examines
the
role
of
digital
twin
technology
in
optimizing
maintenance
within
smart
manufacturing.
It
explores
mediating
effect
replacement
on
relationship
between
twins
and
manufacturing
outcomes
Saudi
industrial
sector,
focusing
energy
efficiency,
waste
reduction,
operational
performance.
Theoretical
Framework:
Grounded
Industry
4.0
principles,
this
research
highlights
how
enhances
predictive
resource
optimization.
aligns
with
Arabia’s
Vision
2030
by
promoting
advanced
solutions.
Method:
A
quantitative
approach
is
employed
using
structural
equation
modeling
(SEM)
to
analyze
data
from
21
leading
food
industry
companies,
including
Almarai,
Savola,
Al
Mangal
Foods,
Wataniya
Poultry.
The
evaluates
twin-enabled
strategies
their
impact
Results
Discussion:
findings
reveal
that
partially
mediates
Digital
maintenance,
reduces
downtime,
optimizes
use,
improved
efficiency
reduction.
These
support
broader
adoption
technologies.
Research
Implications:
underscores
need
for
further
exploration
AI-driven
analytics
deeper
integration
improve
sustainability.
Originality/Value:
provides
empirical
evidence
offering
valuable
insights
businesses
aiming
enhance
production
align
initiatives.
