模拟在网络攻击期间由于系统故障而导致的医疗过程过载。

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
Markus Willing, Simon Ebbers, Christian Dresen, Marc Czolbe, Christoph Saatjohann, Sebastian Schinzel
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引用次数: 0

摘要

今天的医疗信息技术连接越来越紧密,网络或IT系统的中断可能会影响患者的治疗质量。如果攻击者专注于对医疗流程至关重要的医疗IT设备,那么网络攻击造成的IT中断尤其令人担忧。但是,医疗流程主要是为医院员工编制的,而不是用于分析任何给定人力或医疗IT资源的重要性。本文提出了一个通用模型的现实,以病人为中心的模拟医疗过程。该模型允许模拟网络事件,重点关注设备中断或过载情况,如大规模伤亡事件。此外,我们提供了一个实现所描述模型的概念验证工具,使最终用户能够模拟他们的过程。该工具提供了使用低详细数据进行概述的能力,以及使用高详细数据进行细粒度模拟结果的能力。我们对一家样本医院进行了不同的场景模拟,包括勒索软件攻击的急性阶段、实施网络安全措施对性能的负面影响,以及大规模伤亡事件的应急计划。在每个场景中,各自的模拟产生了这些场景如何影响整个过程性能的定量陈述,并显示了支持决策的可能关键因素。我们使用来自德国创伤室的真实数据来优化和评估过程模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating the overload of medical processes due to system failures during a cyberattack.

Today's medical IT is more and more connected and network or IT system outages may impact the quality of patient treatment. IT outages from cyberattacks are particularly worrisome if attackers focus on those medical IT devices that are critical for medical processes. However, medical processes are primarily documented for the hospital employees and not for analyzing the criticality of any given human or medical IT resource. This paper presents a generic model for realistic, patient-focused simulation of medical processes. The model allows the simulation of cyber incidents, focusing on device outages or overload situations like mass casualty incidents. Furthermore, we present a proof-of-concept tool that implements the described model, enabling end-users to simulate their processes. The tool offers the ability to run with low detailed data for overview purposes and highly detailed data for fine-grained simulation results. We perform different scenario simulations for a sample hospital, including the acute phase of a ransomware attack, negative performance impacts due to the implementation of cybersecurity measures, and emergency plans for mass casualty incidents. In each scenario, the respective simulation resulted in a quantitative statement of how these scenarios affect overall process performance and show possible key factors supporting decision-making. We use real-world data from a German trauma room to optimize and evaluate the process simulation.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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