Analyzing the Efficiency of Moroccan Hospital Network Regions via DEA and Tobit Regression: Assessing DEAP 2.1 Software versus Generative AI ChatGPT 3.5
Abstract
This
study
aims
to
assess
the
technical
efficiency
of
hospital
networks
in
each
health
directorate
region
Morocco
and
analyze
impact
staff
personnel
on
inefficiency.
The
uses
Data
Envelopment
Analysis
Programming
(DEAP)
software
version
2.1
generative
Artificial
Intelligent
ChatGPT
3.5
12
network
regions.
Tobit
regression
was
employed
worker
activity
Results
showed
that
average
more
inefficient
AI
than
DEAP
2.1.
Hospital
nurse
staffing
significantly
impacted
inefficiency
levels.
concludes
pose
challenges
for
managers
regions,
emphasizing
need
New
Public
Management
principles
based
contractualization,
accountability,
managerial
practices.
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: May 14, 2024
Language: Английский