A transdisciplinary dual degree curriculum yields novel and successful learning outcomes: early lessons from training physicianeers
Gregg B. Wells,
No information about this author
Douglas A. Baxter,
No information about this author
Leslie Day
No information about this author
et al.
Frontiers in Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 28, 2025
The
evolving
needs
in
healthcare
education
and
delivery
have
led
to
diverse
MD-based
dual
degree
programs
offering
trainees
broader
experiences
credential-based
credibility
after
graduation.
Medical
schools
typically
implement
multidisciplinary
or
interdisciplinary
training
with
designs
that
separate
the
contributing
disciplines
chronologically
experientially.
As
a
result,
these
fail
maximize
cohesive
learning
environment
outcomes
possible
transdisciplinary
design,
which
integrates
chronologically,
experientially,
conceptually.
Though
rare,
degrees
promise
transformative
educational
discipline
convergence
by
dissolving
traditional
boundaries
fostering
new
professional
identity.
Therefore,
we
hypothesize
curriculum
yields
novel—and
potentially
better—learning
outcomes.
ENMED,
program
collaboratively
developed,
sponsored,
implemented
Texas
A&M
University
Houston
Methodist
Hospital,
is
testing
this
hypothesis
“physicianeers.”
This
type
of
trains
simultaneously
for
MD
Master
Engineering
degrees,
thereby
integrating
medical
engineering
expertise
advance
health
system
innovations.
Supporting
hypothesis,
ENMED’s
early
suggest
its
dual-degree
model
leads
physicianeer
novel
perspectives
potential
transform
systemically.
Language: Английский
Exploring nursing assistants’ competencies in pressure injury prevention and management in nursing homes: a qualitative study using the iceberg model
Yanxia Guo,
No information about this author
Wen Zhu,
No information about this author
Plernpit Boonyamalik
No information about this author
et al.
BMC Nursing,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: March 27, 2025
Abstract
Background
As
the
global
population
ages
rapidly,
pressure
injuries
(PI)
in
nursing
homes
have
become
a
serious
health
concern.
Nursing
assistants
play
an
important
role
injury
prevention
and
management
(PIPM).
Objective
This
study
aimed
to
explore
PIPM
competencies
required
by
within
based
on
Iceberg
Model.
Methods
We
employed
qualitative
descriptive
collected
data
through
focus
group
with
12
semi-structured
interviews
11
key
stakeholders
China.
Deductive
content
analysis
was
utilized
Results
Five
main
categories
of
assistants’
were
identified:
theoretical
knowledge,
comprehensive
skills,
self-concept,
traits,
motives.
Theoretical
knowledge
included
PI
basic
professional
emphasizing
importance
understanding
mechanisms,
risk
factors,
strategies.
Comprehensive
skills
encompassed
practical
(e.g.,
repositioning
techniques,
wound
care),
communication
collaboration
observation
skills.
Self-concept
involves
identity,
ethical
awareness,
sense
responsibility.
Traits
carefulness
love,
empathy
patience.
Motives
driven
development
opportunities
supportive
institutional
policies.
Conclusion
The
application
Model
enhanced
for
effective
PIPM.
findings
can
guide
targeted
training
programs
assessment
tools
long-term
care
facilities.
Future
research
should
impacts
well-trained
patient
outcomes
expand
scope
assistants.
Clinical
trial
number
Not
applicable.
Language: Английский
Aging, longevity, and healthy aging: the public health approach
Aging Clinical and Experimental Research,
Journal Year:
2025,
Volume and Issue:
37(1)
Published: April 17, 2025
Abstract
Background
Population
aging
is
one
of
the
most
significant
global
demographic
changes
21st
century,
driven
by
increased
life
expectancy
and
declining
fertility
rates.
This
phenomenon
presents
both
achievements
challenges
for
public
health
systems
worldwide.
Aims
On
hand,
advances
in
healthcare
socio-economic
conditions
have
contributed
to
longer
lives
improved
quality
older
adults.
other
populations
are
increasingly
affected
chronic
diseases,
greriatric
syndromes,
multimorbidity,
leading
greater
demands
higher
associated
costs.
Methods
manuscript
explores
evidence
on
regards
impact
economic
systems,
emphasizing
need
a
paradigm
shift
toward
healthy
aging.
Results
Healthy
aging,
as
defined
World
Health
Organization,
focuses
maintenance
intrinsic
capacity,
physical,
mental,
social
well-being
throughout
life.
It
highlights
importance
preventive
healthcare,
proper
nutrition,
regular
physical
activity
delaying
onset
maintaining
functional
independence.
Furthermore,
addresses
faced
infrastructures
pension
they
adapt
populations,
with
particular
attention
strain
caused
workforce
shortages
rising
long-term
care.
Discussion
A
coordinated
approach
essential
promote
mitigate
societal
impacts
population
Conclusions
paper
underscores
integrated
policies
multidisciplinary
care
models
ensure
that
accompanied
better
individuals.
Language: Английский
Leveraging Kaizen with Process Mining in Healthcare Settings: A Conceptual Framework for Data-Driven Continuous Improvement
Mohammad Najeh Samara,
No information about this author
Kimberly D. Harry
No information about this author
Healthcare,
Journal Year:
2025,
Volume and Issue:
13(8), P. 941 - 941
Published: April 19, 2025
Background/Objectives:
Healthcare
systems
face
persistent
challenges
in
improving
efficiency,
optimizing
resources,
and
delivering
high-quality
care.
Traditional
continuous
improvement
methodologies
often
rely
on
subjective
assessments,
while
data-driven
approaches
typically
lack
human-centered
adaptability.
This
study
aims
to
develop
an
integrated
framework
combining
Kaizen
principles
with
Process
Mining
capabilities
address
these
limitations
healthcare
process
optimization.
Methods:
research
employed
a
structured
literature
review
approach
identify
key
concepts,
methodologies,
applications
of
both
settings.
The
synthesized
insights
from
the
peer-reviewed
published
last
two
decades
conceptual
integrating
for
improvement.
Results:
proposed
combines
Kaizen’s
employee-driven
eliminating
inefficiencies
Mining’s
ability
analyze
workflow
data
deviations.
integration
is
into
four
phases:
collection,
analysis,
events,
monitoring.
structure
creates
feedback
loop
where
inform
collaborative
problem-solving,
resulting
sustained
improvements
validated
through
objective
analysis.
Conclusions:
offers
promising
enhancing
reducing
operational
errors,
resource
utilization
While
such
as
quality
concerns,
constraints,
potential
resistance
change
must
be
addressed,
provides
foundation
more
effective
Future
should
focus
empirical
validation,
AI-enhanced
analytics,
assessing
adaptability
across
diverse
contexts.
Language: Английский
A controlled study: Evaluating the clinical impact of a nurse‐centred multidisciplinary hospice care model on anxiety, depression, and quality of life in patients with advanced malignant tumours
Xueshuang Liu,
No information about this author
Jing Kang,
No information about this author
Jie Lv
No information about this author
et al.
Journal of Evaluation in Clinical Practice,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 21, 2024
Abstract
Objective
To
explore
the
clinical
effect
of
a
nurse‐centred
multidisciplinary
collaborative
hospice
care
model
in
patients
with
advanced
malignant
tumours.
Methods
A
total
30
tumours
were
hospitalised
and
randomly
divided
into
study
group
control
group,
each
consisting
15
cases.
The
received
nurse‐led
care,
whereas
underwent
high‐quality
nursing
intervention.
Variables
such
as
self‐rating
anxiety
scale
(SAS)
score,
depression
(SDS)
quality
life
(EORTC
QLQ‐C30)
patient
happiness,
satisfaction
compared
between
two
groups.
Results
Post‐intervention,
SAS
SDS
scores
lower
than
those
(
p
<
0.01).
overall
score
was
higher
that
Memorial
University
Newfoundland
Scale
Happiness
also
surpassed
Additionally,
exceeded
=
0.027).
Conclusion
substantially
alleviated
negative
emotions
among
patients,
effectively
improved
their
garnered
positive
evaluations
satisfaction.
Language: Английский