手术室综合规划与调度:基于 ILP 的离线方法,提高那不勒斯一家地方医院的应急响应能力

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Maurizio Boccia, Andrea Mancuso, Adriano Masone, Claudio Sterle
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引用次数: 0

摘要

本文讨论的是那不勒斯一家地方医院遇到的一个现实世界中的综合手术室规划与调度(IORPS)问题,该问题的特点是有严格的急诊管理限制,要求在 20 分钟的时间窗口内开始治疗。我们采用独创的整数线性规划公式来解决这一问题,能够处理不同的手术室管理策略(开放式、分块式和分块修正式)。我们的工作有别于传统的以成本为中心的模型,采用了以患者为导向的目标函数,与公立医院的义务相一致。我们使用医院提供的真实数据对所提出的方法进行了验证。实验证明了该方法的高效性,能够在可接受的计算时间内确定符合医院要求的最优解。此外,实验还强调了使用我们的优化方法来减少急诊响应延迟的相关性。这证实了该方法的实用性,可替代当前的人工操作程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrated operating room planning and scheduling: an ILP-Based off-line approach for emergency responsiveness at a local hospital in Naples

Integrated operating room planning and scheduling: an ILP-Based off-line approach for emergency responsiveness at a local hospital in Naples

This paper addresses a real-world Integrated Operating Room Planning and Scheduling (IORPS) problem encountered by a local hospital in Naples, characterized by stringent emergency management constraints, requiring treatment initiation within a 20-minute time-window. We tackle this problem by an original Integer Linear Programming formulation, capable of dealing with different operating room management strategies (open, block and block-modified). Our work differs from conventional cost-focused models by adopting a patient-oriented objective function, aligning with public hospitals obligations. The proposed method has been validated using real-world data provided by the hospital. The performed experimentation demonstrates the efficiency of the approach, capable of determining the optimal solution within an acceptable computation time that aligns with hospital requirements. Moreover, it also highlights the relevance of using our optimization approach to reduce delays in emergency responsiveness. This confirms its practical usage as a substitute for the current manual procedure.

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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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