Discrete-event simulation (DES) is a stochastic modeling approach widely used to address
dynamic and complex systems, such as healthcare. In this review, academic databases …

In recent years, there has been significant interest in developing system dynamics
simulation models to analyze complex healthcare problems. However, there is a lack of …

Various tools and methods are used in participatory modelling, at different stages of the
process and for different purposes. The diversity of tools and methods can create challenges …

The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

Objectives The objective of the study is to present the Grading of Recommendations
Assessment, Development, and Evaluation (GRADE) conceptual approach to the …

Health care delivery systems are inherently complex, consisting of multiple tiers of
interdependent subsystems and processes that are adaptive to changes in the environment …

Early health technology assessment is increasingly being used to support health economic
evidence development during early stages of clinical research. Such early models can be …

The increasing pressures on the healthcare system in the UK are well documented. The
solution lies in making best use of existing resources (eg beds), as additional funding is not …

Objectives This study aimed to systematically review recent health economic evaluations
(HEEs) of artificial intelligence (AI) applications in healthcare. The aim was to discuss …

We review and define the current state of the art as relating to discrete event simulation in
healthcare-related systems. A review of published literature over the past five years (2017 …