A support framework for decision making in emergency department management

Pegoraro, Fábio; Santos, Eduardo Alves Portela; Loures, Eduardo de Freitas Rocha

doi:10.1016/j.cie.2020.106477

Cited by 14 publications

(5 citation statements)

References 42 publications

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“…DES has been applied in the development of a process improvement framework known as the decision-making trial and evaluation laboratory. An approach based on this framework was applied in an emergency department environment to aid managers who were making decisions without adequate information on the state of the system's various processes [32]. The method helped identify critical process factors in the management of treatment processes and, through simulation, it was used to predict the impact of improvement actions prior to implementation.…”

Section: Des-based Tools Applied Within Healthcarementioning

confidence: 99%

Optimising Maintenance Workflows in Healthcare Facilities: A Multi-Scenario Discrete Event Simulation and Simulation Annealing Approach

2023

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Healthcare systems in low-resource settings need effective methods for managing their scant resources, especially people and equipment. Digital technologies may provide means for circumventing the constraints hindering low-income economies from improving their healthcare services. Although analytical and simulation techniques, such as queuing theory and discrete event simulation, have already been successfully applied in addressing various optimisation problems across different operational contexts, the literature reveals that their application in optimisation of healthcare maintenance systems remains relatively unexplored. This study considers the problem of maintenance workflow optimisation with respect to labour, equipment availability and cost. The study aims to provide objective means for forecasting resource demand, given a set of task requests with varying priorities and queue characteristics that flow from multiple queues, and in parallel, into the same maintenance process for resolution. The paper presents how discrete event simulation is adopted in combination with simulated annealing to develop a decision-support tool that helps healthcare asset managers leverage operational performance data to project future asset-performance trends objectively, and thereby determine appropriate interventions for optimal performance. The study demonstrates that healthcare facilities can achieve efficiency in a cost-effective manner through tool-generated maintenance strategies, and that any future changes can be expeditiously re-evaluated and addressed.

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Section: Des-based Tools Applied Within Healthcarementioning

confidence: 99%

Optimising Maintenance Workflows in Healthcare Facilities: A Multi-Scenario Discrete Event Simulation and Simulation Annealing Approach

2023

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“…This emphasizes the need for a exible plan that can be updated regularly to respond to new changes. Although not widely implemented in the healthcare industry, process simulation seems to have the potential to facilitate dynamic operational planning (22)(23)(24).…”

Section: Related Workmentioning

confidence: 99%

A Blueprint for Healthcare Facilities to Enable Dynamic Operational Planning During the Covid-19 Pandemic

Alrabghi

Tameem

2022

Preprint

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Background The COVID-19 pandemic has challenged healthcare systems globally. Sudden and rapid changes such as the fluctuations in confirmed COVID cases, the utilization of intensive care units and the availability of medical teams tested the resilience of healthcare facilities while forcing them to continuously update the operational plans. This research provides new insights into enabling healthcare to be agile while responding to the COVID-19 pandemic. Methods The research provides a comprehensive summary of published changes made by various healthcare facilities in response to the pandemic. Results A blueprint is proposed to assist management in exploring and selecting the appropriate alternatives, allowing them to make decisions faster in a dynamic environment. Conclusions The blueprint can be tailored to each hospital based on its unique characteristics and the current epidemiological situation. In the future, a study could evaluate the use of simulation in automating the process of developing dynamic operational plans based on pre-selected criteria.

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“…Such decision-making also requires precise interaction and collaboration between people and departments. Thus, the amount and quality of information exchanged and the criticality of the decisions guided by them make hospitals some of the most complex organizations in modern society (1,2). To ensure the best outcomes for patient treatments, hospitals have to meet the ongoing need of reducing unpredictability, variability, and unexpected outcomes and maximizing the quality and efficiency of their processes [1,3].…”

Section: Introductionmentioning

confidence: 99%

Interoperability Assessment of Emergency Department Processes Based on Multicriteria Decision-Making Methods

Laus

Pegoraro

Loures

et al. 2022

Preprint

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It is noticeable that, because of the amount and quality of information exchanged and the criticality of the decisions guided by them, hospitals are considered as some of the most complex organizations in modern society. Evidencing it, emergency departments in hospitals are examples of such complex environments that need perfect integration among systems, people, departments, and data. The processes behind the Emergency Department (ED) routine cause a set of critical and time-dependent decision-making, which must consider several criteria related to organizational and clinical attributes. Based on the literature and worldwide initiatives related to managing complex organizations, an ED can be interpreted through the enterprise interoperability (EI) lens, a concept related to the capability of different systems to work collaboratively within and throughout the organization. Thus, this paper proposes a framework focusing on interoperability assessment in ED processes, where different actors need to interoperate. The proposed framework for Enterprise Interoperability Assessment (EIA) is based on multicriteria decision analysis (MCDA) methods, considering organizational and clinical attributes of the ED. The Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II), in an integrated approach, were elected as the most appropriate multicriteria methods to support, respectively, diagnostic (interoperability assessment) and decisional (interoperability improvements) processes in this background. Last, to validate the framework proposed, a case study was carried out at a stroke unit in a University Hospital (UH) in the south of Brazil. The outcome inferred that the UH achieved the intermediate level of enterprise interoperability in stroke treatment, and Business and Information Technology concerns were found to be the priorities, which deserved greater efforts, to enhance interoperability.

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A support framework for decision making in emergency department management

Cited by 14 publications

References 42 publications

Optimising Maintenance Workflows in Healthcare Facilities: A Multi-Scenario Discrete Event Simulation and Simulation Annealing Approach

Optimising Maintenance Workflows in Healthcare Facilities: A Multi-Scenario Discrete Event Simulation and Simulation Annealing Approach

A Blueprint for Healthcare Facilities to Enable Dynamic Operational Planning During the Covid-19 Pandemic

Interoperability Assessment of Emergency Department Processes Based on Multicriteria Decision-Making Methods

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