Hybrid simulation and modes of governance in UK healthcare

Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review

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 were systematically searched to identify 231 papers focused on DES modeling in healthcare. These studies were sorted by year, approach, healthcare setting, outcome, provenance, and software use. Among the surveys, conceptual/theoretical studies, reviews, and case studies, it was found that almost two-thirds of the theoretical articles discuss models that include DES along with other analytical techniques, such as optimization and lean/six sigma, and one-third of the applications were carried out in more than one healthcare setting, with emergency departments being the most popular. Moreover, half of the applications seek to improve time- and efficiency-related metrics, and one-third of all papers use hybrid models. Finally, the most popular DES software is Arena and Simul8. Overall, there is an increasing trend towards using DES in healthcare to address issues at an operational level, yet less than 10% of DES applications present actual implementations following the modeling stage. Thus, future research should focus on the implementation of the models to assess their impact on healthcare processes, patients, and, possibly, their clinical value. Other areas are DES studies that emphasize their methodological formulation, as well as the development of frameworks for hybrid models.

Collaborating to deliver value in health care: exploring conditions required for successful healthcare and life science sector collaboration

Purpose

The UK Government-funded National Health Service (NHS) is experiencing significant pressures because of the complexity of challenges to, and demands of, health-care provision. This situation has driven government policy level support for transformational change initiatives, such as value-based health care (VBHC), through closer alignment and collaboration across the health-care system-life science sector nexus. The purpose of this paper is to evaluate the necessary antecedents to collaboration in VBHC through a critical exploration of the existing literature, with a view to establishing the foundations for further development of policy, practice and theory in this field.

Design/methodology/approach

A literature review was conducted via searches on Scopus and Google Scholar between 2009 and 2019 for peer-reviewed articles containing keywords and phrases “Value-based healthcare industry” and “healthcare industry collaboration”. Refinement of the results led to the identification of “guiding conditions” (GCs) for collaboration in VBHC.

Findings

Five literature-derived GCs were identified as necessary for the successful implementation of initiatives such as VBHC through system-sector collaboration. These are: a multi-disciplinarity; use of appropriate technological infrastructure; capturing meaningful metrics; understanding the total cycle-of-care; and financial flexibility. This paper outlines research opportunities to empirically test the relevance of the five GCs with regard to improving system-sector collaboration on VBHC.

Originality/value

This paper has developed a practical and constructive framework that has the potential to inform both policy and further theoretical development on collaboration in VBHC.