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一种基于模拟的数字孪生方法，用于评估对紧急呼叫的响应组织情况。

A simulation based digital twin approach to assessing the organization of response to emergency calls.

作者信息

Penverne Yann, Martinez Clea, Cellier Nicolas, Pehlivan Canan, Jenvrin Joel, Savary Dominique, Debierre Valerie, Deciron Florence, Bichri Anis, Lebastard Quentin, Montassier Emmanuel, Leclere Brice, Fontanili Franck

机构信息

Department of Emergency Medicine, Nantes Université, CHU Nantes, Nantes, France.

Industrial Engineering Center, IMT Mines Albi, University of Toulouse, Albi, France.

出版信息

NPJ Digit Med. 2024 Dec 31;7(1):385. doi: 10.1038/s41746-024-01392-2.

DOI:10.1038/s41746-024-01392-2
PMID:39741218
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11688439/
Abstract

In emergency situations, timely contact with emergency medical communication centers (EMCCs) is critical for patient outcomes. Increasing call volumes and economic constraints are challenging many countries, necessitating organizational changes in EMCCs. This study uses a simulation-based digital twin approach, creating a virtual model of EMCC operations to assess the impact of different organizational scenarios on accessibility. Specifically, we explore two decompartmentalized scenarios where traditionally isolated call centers are reorganized to enable more flexible call distribution. The primary measure of accessibility was service quality within 30 s of call reception. Our results show that decompartmentalization improves service quality by 17% to 21%. This study demonstrates that reducing regional isolation in EMCCs can enhance performance and accessibility with a simulation-based digital twin approach providing a clear and objective method to quantify the benefits."

摘要

在紧急情况下，及时与紧急医疗通信中心（EMCCs）取得联系对患者的治疗结果至关重要。不断增加的呼叫量和经济限制给许多国家带来了挑战，这就需要对紧急医疗通信中心进行组织变革。本研究采用基于模拟的数字孪生方法，创建紧急医疗通信中心运营的虚拟模型，以评估不同组织方案对可达性的影响。具体而言，我们探讨了两种去部门化方案，即对传统上相互隔离的呼叫中心进行重组，以实现更灵活的呼叫分配。可达性的主要衡量标准是接听呼叫后30秒内的服务质量。我们的结果表明，去部门化可将服务质量提高17%至21%。本研究表明，通过基于模拟的数字孪生方法减少紧急医疗通信中心的区域隔离，可以提高性能和可达性，该方法提供了一种清晰、客观的方法来量化这些益处。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b30b/11688439/d7a1f98c49bf/41746_2024_1392_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b30b/11688439/5475b99dbd83/41746_2024_1392_Fig10_HTML.jpg
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