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Journal ArticleDOI

Application of Simulation in Healthcare Service Operations: A Review and Research Agenda

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TLDR
In this article, the authors analyze healthcare simulation literature of the past decade (2007-2016) that addresses operations management issues in various healthcare service delivery levels and categorizes the literature accordingly.
Abstract
The health system is intricate due to its dynamic nature and critical service requirements. The involvement of multiple layers of health service providers quadrupled this complexity and results in a complicated operating environment. Simulation is often considered an apt technique to model and study complex systems in the literature. The popularity of simulation in the healthcare domain had only accelerated with time and resulted in a large number of articles intended to solve myriad healthcare problems. This article analyzes healthcare simulation literature of the past decade (2007--2016) that addresses operations management issues in various healthcare service delivery levels and categorizes the literature accordingly. In the next step, we attempt to assimilate the entire literature to capture specific health issues addressed, operations management concepts applied, and simulation methods used, and identify major research gaps. Finally, we develop the research agenda from dividing these gaps into the contextual, conceptual, and methodological genre that is consistent with the previous state-of-the-art literature reviews in operations management. Furthermore, this article demonstrates other minute aspects such as “sources of funding” and “tools used for the research” to maintain coherence with the previous reviews in the healthcare simulation. The objective of this work is twofold: to connect the knowledge continuum to the present, and to provide potential research directions for future academicians.

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Citations
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How can operational research make a real difference in healthcare? Challenges of implementation

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Simulation modeling to assess performance of integrated healthcare systems: Literature review to characterize the field and visual aid to guide model selection.

TL;DR: In this article, a systematic search was conducted between 2000 and 2018, in 5 academic databases (ACM D. Library, CINAHL, IEEE Xplore, PubMed, Web of Science) complemented with grey literature from Google Scholar.
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Leveraging multi-tier healthcare facility network simulations for capacity planning in a pandemic

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Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis

TL;DR: In this article , the authors present a synthesis of the literature on simulation modeling in OPD using two approaches: a bibliometric analysis (employing keyword co-occurrence network) and a literature classification focusing on OPD strategy, OPD performance measures, and simulation techniques.
References
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Journal ArticleDOI

Implementing Telemedicine in Medical Emergency Response: Concept of Operation for a Regional Telemedicine Hub

TL;DR: A general model of the application of telemedicine to disaster response is presented and a concept of operations for a regional telemedICine hub is evaluated, which would create distributed surge capacity using regional teleMedicine networks connecting available healthcare and telemedicsine infrastructures to external expertise.
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Interruption and forgetting in knowledge-intensive service environments

TL;DR: This research employs primary observational and process data gathered from a hospital radiology department as inputs into a discrete-event simulation model to estimate the effect of interruptions, forgetting, and re-work on knowledge-intensive operations.
Journal ArticleDOI

Economic Evaluation of Telemedicine for Patients in ICUs

TL;DR: It is suggested that telemedicine in the ICU is cost-effective in most cases and cost saving in some cases, and the thresholds of cost and effectiveness, estimated by break-even analyses, help hospitals determine the impact of telemedics in theICU and potential cost saving.
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Decreased length of stay after addition of healthcare provider in emergency department triage: a comparison between computer-simulated and real-world interventions

TL;DR: Physician and mid-level provider coverage at triage significantly reduced emergency department LOS in this setting and DES accurately predicted the magnitude of this effect.
Journal ArticleDOI

Vulnerability Assessment of Health Care Facilities during Disaster Events

TL;DR: This paper presents a methodology to assist in the analysis of the operational vulnerability of a health care facility during disaster events, considering the impact of disruption of a selected number of critical infrastructure systems in the flow of patients.
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