Self-tracking
has
become
omnipresent
in
our
daily
lives.
By
providing
insights
into
how
work
practices
relate
to
performance
or
(physical
and
mental)
health,
quantified-self
technologies
(QST)
have
also
made
their
way
the
world
of
work.
Contemporary
QST
process
personal
data
from
multiple
sources
help
people
gain
a
better
knowledge
about
themselves
at
According
humanistic
psychology,
humans
an
initial
drive
grow
self-actualize,
that
is,
version
themselves.
A
key
step
towards
self-actualization
is
accepting
oneself
without
meeting
certain
conditions
thus
questioning
so
called
"conditions
worth"
(e.g.,
I
am
valued
person
if
good
my
job).
In
this
article,
we
discuss
possible
effects
workplace.
We
raise
question,
could
be
either
used
as
tool
locate
growth
outside
capitalist
labor
or,
on
contrary,
create
worth
promote
"entrepreneurial
self"
–
self
which
driven
constantly
improve
therefore
vulnerable
for
self-exploitation.
development,
design
choices
determine
whether
they
are
more
designed
toward
idea
entrepreneurial
self.
Thus,
conclude
article
by
formulating
implications
QST,
cluster
along
actors
purpose
technology
(Who?
Why?),
specifics
context
(Where?),
temporal
aspects
usage
(When?),
elements
(How?).
JACC Advances,
Год журнала:
2023,
Номер
2(2), С. 100267 - 100267
Опубликована: Март 1, 2023
Traditional
measures
of
clinical
status
and
physiology
have
generally
been
based
in
health
care
settings,
episodic,
short
duration,
performed
at
rest.
Wearable
biosensors
provide
an
opportunity
to
obtain
continuous
non-invasive
physiologic
data
from
patients
with
congenital
heart
disease
(CHD)
the
real-world
setting,
over
longer
durations,
across
varying
levels
activity.
However,
there
are
significant
technical
limitations
use
wearable
CHD.
Here,
we
review
current
applications
CHD;
how
research
uses
must
consider
various
CHD
physiologies;
challenges
developing
for
special
considerations
digital
biomarkers
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(6), С. 568 - 568
Опубликована: Май 26, 2024
Background:
Artificial
intelligence
(AI)-based
chatbots
have
shown
promise
in
providing
counseling
to
patients
with
metabolic
dysfunction-associated
steatotic
liver
disease
(MASLD).
While
ChatGPT3.5
has
demonstrated
the
ability
comprehensively
answer
MASLD-related
questions
English,
its
accuracy
remains
suboptimal.
Whether
language
influences
these
results
is
unclear.
This
study
aims
assess
ChatGPT’s
performance
as
a
tool
for
Italian
MASLD
patients.
Methods:
Thirteen
experts
rated
accuracy,
completeness
and
comprehensibility
of
answering
15
using
six-point
three-point
Likert’s
scale.
Results:
Mean
scores
were
4.57
±
0.42,
2.14
0.31
2.91
0.07,
respectively.
The
physical
activity
domain
achieved
highest
mean
completeness,
whereas
specialist
referral
lowest.
Overall,
Fleiss’s
coefficient
concordance
across
all
was
0.016,
0.075
−0.010,
Age
academic
role
evaluators
did
not
influence
scores.
significantly
different
from
our
previous
focusing
on
English.
Conclusion:
Language
does
appear
affect
provide
comprehensible
complete
patients,
but
suboptimal
certain
domains.
Mental
health
symptoms
are
commonly
discovered
in
primary
care.
Yet,
these
settings
not
set
up
to
provide
psychological
treatment.
Digital
interventions
can
play
a
crucial
role
stepped
care
management
of
patients'
where
patients
offered
low
intensity
intervention,
and
treatment
evolves
incorporate
providers
if
needed.
Though
digital
often
use
smartphone
wearable
sensor
data,
little
is
known
about
desires
data
manage
mental
symptoms.
In
10
interviews
with
depression
anxiety,
we
explored
their:
symptom
self-management,
current
desired
comfort
sharing
such
providers.
Findings
support
the
health,
yet
they
also
highlight
misalignment
patient
needs
efforts
sensors.
We
outline
considerations
for
future
research,
including
extending
design
thinking
wraparound
services
that
may
be
necessary
truly
reduce
healthcare
burden.
JMIR Medical Education,
Год журнала:
2024,
Номер
10, С. e51112 - e51112
Опубликована: Март 21, 2024
Background
The
COVID-19
pandemic
has
highlighted
the
growing
relevance
of
telehealth
in
health
care.
Assessing
care
and
nursing
students’
competencies
is
crucial
for
its
successful
integration
into
education
practice.
Objective
We
aimed
to
assess
perceived
knowledge,
skills,
attitudes,
experiences.
In
addition,
we
examine
preferences
content
teaching
methods
within
their
curricula.
Methods
conducted
a
cross-sectional
web-based
study
May
2022.
A
project-specific
questionnaire,
developed
refined
through
iterative
feedback
face-validity
testing,
addressed
topics
such
as
demographics,
personal
perceptions,
professional
experience
with
solicited
input
on
potential
course
content.
Statistical
analyses
were
surveys
at
least
50%
completion
rate,
including
descriptive
statistics
categorical
variables,
graphical
representation
results,
Kruskal
Wallis
tests
central
tendencies
subgroup
analyses.
Results
total
261
students
from
7
bachelor’s
4
master’s
programs
participated
study.
Most
expressed
interest
(180/261,
69%
very
or
rather
interested)
recognized
importance
(215/261,
82.4%
important).
However,
most
participants
reported
limited
knowledge
applications
concerning
profession
(only
7/261,
2.7%
stated
profound
knowledge)
active
various
(between
18/261,
6.9%
63/261,
24.1%).
Statistically
significant
differences
found
between
regarding
(P=.005),
(P<.001),
after
(P=.004).
Practical
training
devices,
software,
apps
case
examples
patient
groups
important
future
preferred
both
interdisciplinary
program-specific
courses.
Conclusions
This
emphasizes
need
integrate
curricula,
state
positive
attitudes
but
seem
be
not
adequately
prepared
implementation.
To
optimally
prepare
professionals
increasing
role
practice,
results
this
can
considered
when
designing
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e49320 - e49320
Опубликована: Апрель 11, 2024
Background
Mobile
health
(mHealth)
uses
mobile
technologies
to
promote
wellness
and
help
disease
management.
Although
mHealth
solutions
used
in
the
clinical
setting
have
typically
been
medical-grade
devices,
passive
active
sensing
capabilities
of
consumer-grade
devices
like
smartphones
activity
trackers
potential
bridge
information
gaps
regarding
patients’
behaviors,
environment,
lifestyle,
other
ubiquitous
data.
Individuals
are
increasingly
adopting
solutions,
which
facilitate
collection
patient-generated
data
(PGHD).
Health
care
professionals
(HCPs)
could
potentially
use
these
support
chronic
conditions.
However,
there
is
limited
research
on
real-life
experiences
HPCs
using
PGHD
from
context.
Objective
This
systematic
review
aims
analyze
existing
literature
identify
how
HCPs
setting.
The
objectives
determine
types
by
HCPs,
conditions
they
them,
understand
motivations
behind
their
willingness
them.
Methods
A
was
main
method
synthesize
prior
research.
Eligible
studies
were
identified
through
comprehensive
searches
health,
biomedicine,
computer
science
databases,
a
complementary
hand
search
performed.
strategy
constructed
iteratively
based
key
topics
related
PGHD,
technologies.
screening
process
involved
2
stages.
Data
extraction
performed
predefined
form.
extracted
summarized
combination
descriptive
narrative
syntheses.
Results
included
16
studies.
spanned
2015
2021,
with
majority
published
2019
or
later.
Studies
showed
that
reviewing
various
channels,
including
portals
devices.
about
behavior
seem
particularly
useful
for
HCPs.
Our
findings
suggest
more
commonly
treat
such
as
diabetes
obesity.
Physicians
most
frequently
reported
users
participating
than
80%
Conclusions
has
proven
beneficial
patients
can
also
diabetes,
cardiovascular
diseases,
obesity,
domains
high
levels
uncertainty,
infertility.
Integrating
into
poses
challenges
privacy
accessibility.
Some
though
consumer
might
not
be
perfect
completely
accurate,
perceived
value
outweighs
alternative
having
no
Despite
value,
our
reveal
practice
still
scarce.
International
Registered
Report
Identifier
(IRRID)
RR2-10.2196/39389
