Guidance-Based Appropriateness of Hemostasis Testing in the Acute Setting
Hämostaseologie,
Journal Year:
2025,
Volume and Issue:
45(01), P. 024 - 048
Published: Feb. 1, 2025
Abstract
In
this
review,
we
aim
to
highlight
the
extent
of
inappropriate
hemostasis
testing
and
provide
practical
guidance
on
how
prevent
it.
We
will
focus
acute
setting,
including
but
not
limited
emergency
department
intensive
care
unit.
To
end,
first
discuss
significance
inappropriateness,
in
general
context
laboratory
medicine.
This
includes
acknowledging
importance
phenomenon
attempting
define
Next,
describe
harmful
consequences
testing.
Finally,
use
setting.
The
second
section
describes
interventions―in
particular,
implementation
for
testing—can
efficiently
reduce
inappropriateness.
third
section,
summarize
available
recommendations
rational
(platelet
count,
activated
partial
thromboplastin
time,
prothrombin
time/international
normalized
ratio,
fibrinogen,
thrombin
D-dimer,
anti-Xa
assay,
antithrombin,
ADAMTS13
activity,
antiheparin-PF4
antibodies,
viscoelastometric
tests,
coagulation
factors,
platelet
function
testing),
as
supported
by
guidelines,
recommendations,
and/or
expert
opinions.
Overall,
review
is
intended
be
a
toolkit
effort
promote
appropriate
Hopefully,
new
Vitro
Diagnostic
Medical
Device
Regulation
(EU)
2017/746
(IVDR)
should
help
improving
availability
evidence
regarding
clinical
performance
assays.
Language: Английский
Harnessing AI for enhanced evidence-based laboratory medicine (EBLM)
Clinica Chimica Acta,
Journal Year:
2025,
Volume and Issue:
569, P. 120181 - 120181
Published: Feb. 3, 2025
The
integration
of
artificial
intelligence
(AI)
into
laboratory
medicine,
is
revolutionizing
diagnostic
accuracy,
operational
efficiency,
and
personalized
patient
care.
AI
technologies(machine
learning,
natural
language
processing
computer
vision)
advance
evidence-based
medicine
(EBLM)
by
automating
optimizing
critical
processes(formulating
clinical
questions,
conducting
literature
searches,
appraising
evidence,
developing
guidelines).
These
reduce
the
time
for
systematic
reviews,
ensuring
consistency
in
appraisal,
enabling
real-time
updates
to
guidelines.
supports
analyzing
large
datasets,
genetic
information
electronic
health
records
(EHRs),
tailor
treatment
plans
profiles.
Predictive
analytics
enhance
outcomes
leveraging
historical
data
ongoing
monitoring
predict
responses
optimize
care
pathways.
Despite
transformative
potential,
there
are
challenges.
transparency,
explainability
algorithms
gaining
trust
ethical
deployment.
Integration
existing
workflows
requires
collaboration
between
developers
users
ensure
seamless
user-friendly
adoption.
Ethical
considerations,
such
as
privacy,data
security,
algorithmic
bias,
must
also
be
addressed
mitigate
risks
equitable
healthcare
delivery.
Regulatory
frameworks,
eg.
EU
Regulation,
emphasize
governance,
human
oversight,
particularly
high-risk
systems.
economic
benefits
cost
savings,
improved
precision,
enhanced
outcomes.
Future
trends
(federated
learning
self-supervised
learning),
will
scalability
applicability
EBLM,
paving
way
a
new
era
precision
medicine.
EBLM
has
potential
transform
delivery,
improve
outcomes,
personalized/precision
Language: Английский
Is it feasible for European laboratories to use SI units in reporting results?
Martina Zaninotto,
No information about this author
Luisa Agnello,
No information about this author
Lora Dukić
No information about this author
et al.
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 18, 2025
Abstract
The
ultimate
goal
of
harmonization,
crucial
to
quality
in
laboratory
medicine,
is
improve
patient
outcomes
by
providing
accurate,
actionable
information.
Patients
and
healthcare
professionals
assume
that
clinical
tests
performed
different
laboratories
at
times
on
the
same
type
sample
are
comparable,
results
can
be
reliably
consistently
interpreted.
In
this
context
reporting
units
for
have
a
considerable
influence
numeric
result.
harmonization
measurement
report,
leads
provision
interchangeable
comparable
results,
thus
maximizing
validity
information,
assuring
more
accurate
diagnosis
better
treatment
patient.
However,
although
efforts
been
made
recent
years,
criticisms
continue.
This
opinion
paper,
prepared
jointly
EFLM
Committee
Harmonization
(C-H)
Postanalytical
phase
(C-POST),
describes
“general
pragmatic
approach”
proposed
drafting
guidelines
order
ensure
they
used
as
widely
possible.
Language: Английский
Digital metrology in laboratory medicine: a call for bringing order to chaos to facilitate precision diagnostics
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 14, 2025
Abstract
Laboratory
medicine
is
faced
with
rapid
developments
in
data
exchange,
secondary
use
of
and
artificial
intelligence.
Safe
exchange
laboratory
requires
a
suitable
terminology
standard.
NPU,
LOINC
SNOMED
CT
are
increasingly
used
for
this
purpose,
but
none
these
standards
can
currently
accommodate
safe
across
the
full
spectrum
conventional
data.
Furthermore,
technological
advances
in,
amongst
others,
‘omics’
area
will
enforce
shift
towards
precision
diagnostics.
These
emerging
technologies
demand
an
appropriate
future-proof
Given
current
future
challenges
terminologies,
we
here
present
concept
digital
metrology
medicine.
Terminology
should
be
adjusted
to
state
science
allow
interpretation.
Essential
test
information
entails
pre-pre-analysis
post-post-analysis.
Major
improvements
needed
include
sufficient
coding
detail
molecular
form
measurand
on
metrological
traceability.
especially
given
diagnostics,
it
become
essential
indicate
interrelationships
between
measurands.
Herefore,
integration
established
taxonomies
would
improved
identification
measurands
linkage
scientific
multidisciplinary
science.
Hence,
further
gain
specificity
value.
The
time
has
come
lay
basis
era
global
focus.
A
consensus
move
forward
health
within
Europe
beyond.
Language: Английский
New insights in preanalytical quality
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 23, 2025
Abstract
The
negative
impact
of
preanalytical
errors
on
the
quality
laboratory
testing
is
now
universally
recognized.
Nonetheless,
recent
technological
advancements
and
organizational
transformations
in
healthcare
–
catalyzed
by
still
ongoing
coronavirus
disease
2019
(COVID-19
pandemic)
have
introduced
new
challenges
promising
opportunities
for
improvement.
integration
value-based
scoring
systems
clinical
laboratories
growing
evidence
linking
to
patient
outcomes
costs
underscore
critical
importance
this
phase.
Emerging
topics
phase
include
pursuit
a
“greener”
more
sustainable
environment,
innovations
self-sampling
automated
blood
collection,
strategies
minimize
loss.
Additionally,
efforts
reduce
enhance
sustainability
through
management
gained
momentum.
Digitalization
artificial
intelligence
(AI)
offer
transformative
potential,
with
applications
sample
labeling,
recording
collection
events,
monitoring
conditions
during
transportation.
AI-driven
tools
can
also
streamline
workflow
mitigate
errors.
Specific
managing
hemolysis
developing
its
impact,
addressing
issues
related
urine
designing
robust
protocols
stability
studies.
rise
decentralized
presents
unique
hurdles,
while
emerging
areas
such
as
liquid
biopsy
anti-doping
introduce
novel
complexities.
Altogether,
these
highlight
dynamic
evolution
need
continuous
innovation
standardization.
This
collective
opinion
paper,
which
summarizes
abstracts
lectures
delivered
at
two-day
European
Federation
Laboratory
Medicine
(EFLM)
Preanalytical
Conference
entitled
“New
Insight
Quality”
(Padova,
Italy;
December
12–13,
2025),
provides
comprehensive
overview
errors,
offers
some
important
insights
into
less
obvious
sources
vulnerability
proposes
efficient
Language: Английский
Beyond test results: the strategic importance of metadata for the integration of AI in laboratory medicine
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 23, 2025
Language: Английский
Non-targeted detection of cathinones by high-resolution mass spectrometry based on their fragmentation pattern prediction. Application to pyrrolidine analogues in a hair case of PV8
Forensic Chemistry,
Journal Year:
2024,
Volume and Issue:
42, P. 100630 - 100630
Published: Dec. 10, 2024
Language: Английский
Evaluation of performance in preanalytical phase EQA: can laboratories mitigate common pitfalls?
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 14, 2024
Abstract
Objectives
Preanalytical
phase
is
an
elemental
part
of
laboratory
diagnostics,
but
prone
to
humane
errors.
The
aim
this
study
was
evaluate
performance
in
preanalytical
external
quality
assessment
(EQA)
cases.
We
also
suggest
preventive
actions
for
risk
mitigation.
Methods
included
12
EQA
rounds
(Labquality
Ltd.)
with
three
patient
cases
(36
cases,
54–111
participants,
7–15
countries)
published
2018–2023.
graded
according
percentage
correct
responses
each
case
as
≥900
%
excellent,
70–89
good,
50–69
satisfactory,
30–49
fair
and
<30
poor.
Performance
simultaneously
failed
≥10
leading
harmful
events.
Results
Overall
excellent
7,
good
12,
satisfactory
10,
4
poor
3
Additionally,
7
showed
performance.
Routine
requests
incorrect
sample
tubes
or
handling
were
detected
Lower
seen
sudden
abnormal
results,
rare
requests,
false
identification
(never-events)
test
requests.
Information
technology
(IT)
solutions
(preanalytical
checklists,
autoverification
rules
specific
notifications)
could
have
prevented
33
36
Conclusions
While
most
common
errors
performance,
samples
those
requiring
individualised
consideration
are
vulnerable
human
misinterpretation.
In
many
instances,
should
been
identified
rejected
before
reaching
the
being
directed
analysis.
Optimising
IT
effectively
detect
these
allows
focus
on
infrequent
events
demanding
accessible
professional
consultation.
may
help
education
occasions.
Language: Английский