Types of Gaming Simulation Applications

Kriz, Willy Christian

doi:10.1177/1046878117689860

Cited by 21 publications

(16 citation statements)

References 13 publications

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“…Generally, simulation can be useful in the design of complex social-technical systems [ 9 ]. As an innovative technology for adding analytical capacity, simulation can be used as an intermediate test in the (re)design of organizational rules and structures, workflow process management, performance, and avoidance of human errors [ 10 , 11 ]. More specifically, according to Jun et al [ 12 ], simulation could provide benefits such as more effective redesign or innovation, deeper insights into barriers and incentives to adoption, and provision of an environment to “bench-test” final products prior to formal release.…”

Section: Introductionmentioning

confidence: 99%

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

et al. 2018

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BackgroundResource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in logistics, decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care.MethodsA systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality.ResultsTwo hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low.ConclusionsAn extensive study analyzing the literature on simulation in healthcare logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.

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Section: Introductionmentioning

confidence: 99%

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

et al. 2018

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“…More design-based research is important to answer some of the questions educators may have in this aspect. [2223242526]…”

Section: Gaming As a Part Of Hybrid Simulationmentioning

confidence: 99%

The 2019 WACEM expert document on hybrid simulation for transforming health-care simulation through “mixing and matching”

Lateef

Too

2019

J Emerg Trauma Shock

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“…Noting the wide variety and purpose of gaming simulations, Kriz [47] suggested two main categories and three subcategories of gaming simulation applications. The analytical sciences perspective can be described by a set of applications that are used as scenarios to empirically test, justify and develop theories in specific domains.…”

Section: Training Simulator Evolutionmentioning

confidence: 99%

A Framework for Monitoring Evolution and its Drivers in Training Simulators

Hvannberg

2019

JoIS

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Software systems evolve with societal, business and technological changes. Because of these changes, socio-technical systems need to adapt to new situations that were unknown at the time of design. Good knowledge of software system evolution can help with that adaption. Although the evolution of software systems has been broadly debated, little research has been conducted on the specific genre of software systems and even less empirical research has been performed on the evolution of interactive software. We propose a three-factor framework which consists of identifying the changes during the evolution of training simulators, the drivers for those changes and how the changes effect innovation and robustness of the training simulators. In reviewing the literature on training simulators, we argue for this framework. The contribution of this paper is a framework that can be used to carry out empirical studies on the evolution of training simulators. Interaction ScienceSoftware systems evolve with societal, business and technological changes. Software technologies are said to evolve in a Darwinian manner by co-evolving with human culture [1]. Societal changes, including the migration of people and workers, poverty, health and education, can influence how software systems evolve. Business operations and their marketplace can be drivers of the evolution of software systems. Furthermore, innovations in technologies for building software systems influence their evolution. Because of these changes, today's sociotechnical systems need to adapt to new situations that were unknown at the time of design [2]; good knowledge of interactive software system evolution can help with that adaptation. Sociotechnical systems cover hardware, software, personal and community aspects [3] and when we refer to interactive software systems in this paper, we are not limiting the discussion to the software and its users. An example of a sociotechnical system is a training simulator for managing the response to large scale accidents such as those involving aircraft or trains. It concerns the hardware used, the software developed, the trainers and trainees using the system, and the community surrounding the professions and stakeholders. The development of such training simulators is costly. Training simulators can be long-lived up to several decades and thus undergo various changes in the course of use. Examples of these are changes because of improved work processes that are discovered during training exercises or real response, or demand for higher fidelity as trainees, for example firefighters training to extinguish fires.Researchers have debated whether there exist such things as revolutionary products, or inventions, or if all are evolutionary [4, p.86], created in small steps visible only to the designer but invisible to the consumer [5, p.2]. Vicente [6] distinguished between revolutionary design and evolutionary design problems. Whereas in the former, the constraints decided on in past versions can change, in the latter, the constraints...

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Types of Gaming Simulation Applications

Cited by 21 publications

References 13 publications

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

The 2019 WACEM expert document on hybrid simulation for transforming health-care simulation through “mixing and matching”

A Framework for Monitoring Evolution and its Drivers in Training Simulators

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