Improving Patient Flow in a Healthcare Clinic Post COVID-19: A Data Validation and Exploratory Analysis Approach

Jain, Aditi; Bahrini, Aram; Nour, Eric; Patel, Harshal; Riggleman, Emily; Wittmann, Tyson; Measells, Karen; Dowdell, Kimberly; Riggs, Sara L.; Riggs, Robert J.

doi:10.1109/sieds58326.2023.10137848

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Cited by 2 publications

References 7 publications

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Exploring Discrepancies: Analyzing Electronic Medical Records Data Against Direct Observations

Schebell,

FitzGerald,

Irons

et al. 2024

2024 Systems and Information Engineering Design Symposium (SIEDS)

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Exploring Discrepancies: Analyzing Electronic Medical Records Data Against Direct Observations

Schebell,

FitzGerald,

Irons

et al. 2024

2024 Systems and Information Engineering Design Symposium (SIEDS)

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Discrete‐event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID‐19 global health pandemic

Akpan,

Shanker,

Offodile

2023

Int Trans Operational Res

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During the Annual Operational Research Society Simulation Workshop in Worchester, UK, in 2010, a panel discussion entitled “discrete‐event simulation (DES) is dead, long live agent‐based simulation (ABS)!” was held. Subsequent debates on the topic have captured the interest of many simulation professionals and researchers. This study lends credence to the discourse with evidence. In January 2020, a global health crisis named coronavirus disease (COVID‐19) occurred, infecting and killing millions of people globally, leading to community lockdowns and travel restrictions, and bringing the world to a standstill. Scientists scrambled for quick, practical solutions to stem the tide. Operational research (OR) and management science (MS) techniques, including modeling and simulation, provide effective methods to make COVID‐19 infection forecasts, assign/optimize intensive care unit beds, initiate healthcare management/control strategies, and decision‐making. The global pandemic problems offer an opportunity to evaluate the discourse on DES's continuous relevance and potency as an OR/MS technique. Utilizing bibliometric performance evaluation and text analytics of publications addressing various COVID‐19 pandemic problems, the results show an extensive use, relevance, and impact of the DES technique across multidisciplinary domains, including medical/healthcare, social and behavioral sciences, business, molecular biosciences, and more. The intellectual structure highlights strong multidisciplinary collaboration among sources in decision sciences, healthcare, natural, behavioral, and social sciences. The social network analysis of the publications shows the contributions and collaborations among authors, institutions, and countries. The study demonstrates that DES is still alive and robust, notwithstanding the hype about ABS.

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Improving Patient Flow in a Healthcare Clinic Post COVID-19: A Data Validation and Exploratory Analysis Approach

Cited by 2 publications

References 7 publications

Exploring Discrepancies: Analyzing Electronic Medical Records Data Against Direct Observations

Exploring Discrepancies: Analyzing Electronic Medical Records Data Against Direct Observations

Discrete‐event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID‐19 global health pandemic

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