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Workspace Layout for Resilient Performance using Social Network Analysis: A Case Study
HERD: Health Environments Research & Design Journal ( IF 1.7 ) Pub Date : 2024-08-16 , DOI: 10.1177/19375867241271435
Flavio Sanson Fogliatto 1 , Tarcisio Abreu Saurin 1 , Guilherme Luz Tortorella 2 , Jose Miguel Dora 3 , Leandro Miletto Tonetto 4
Affiliation  

Purpose: To present the social network analysis-based approach used to create a new workspace layout for three hospital services as part of a campus expansion at a large tertiary care public hospital. Objective: To analyze the relationships among service members across four healthcare resilience abilities (monitor, anticipate, respond, and learn) and utilize network metrics to indicate the suitability of a shared workspace layout for the services. Background: The hospital expanded by 70%, providing space for relocating key services—the rapid response team, medical on-call team, and nursing supervision. Initial observations suggested a shared workspace layout based on anecdotal evidence. Method: Stakeholders have reached a consensus on a three-stage process to assess the suitability of a shared workspace layout for these services: first, collecting data on social interactions with a focus on resilience abilities; second, presenting layout alternatives based on sociograms; and third, evaluating these alternatives and devising a strategy for allocating personnel to shifts based on a resilience score derived from social network metrics. Case Study: The examination of social network metrics allowed identifying key individuals contributing to the overall resilience of the three services. Sociograms provided visual representations of how these individuals were spatially distributed within the shared layout. Discussion: The process was designed to shape a resilient layout and incorporated initial data, preferences, and constraints into layout proposals. Additionally, it utilized a resilience score from existing literature to formulate a strategy for staff allocation to shifts, ensuring consistent collective resilience ability across all shifts.

中文翻译:


使用社交网络分析实现弹性性能的工作空间布局:案例研究



目的:介绍基于社交网络分析的方法,用于为三项医院服务创建新的工作空间布局,作为大型三级公立医院校园扩建的一部分。目标:分析服务成员之间四种医疗保健弹性能力(监控、预测、响应和学习)之间的关系,并利用网络指标来指示共享工作空间布局对服务的适用性。背景:医院扩大了 70%,为重新安置关键服务(快速反应团队、医疗值班团队和护理监督)提供了空间。初步观察表明,基于轶事证据的共享工作空间布局。方法:利益相关者已就评估共享工作空间布局是否适合这些服务的三阶段流程达成共识:首先,收集社交互动数据,重点关注弹性能力;其次,根据社会关系图提出布局替代方案;第三,评估这些替代方案,并根据社交网络指标得出的弹性评分制定人员轮班策略。案例研究:对社交网络指标的检查可以识别对这三种服务的整体弹性做出贡献的关键个人。社会图提供了这些人在共享布局中的空间分布情况的视觉表示。讨论:该过程旨在形成弹性布局,并将初始数据、偏好和约束纳入布局建议中。此外,它还利用现有文献中的弹性评分来制定轮班员工分配策略,确保所有轮班的集体弹性能力保持一致。
更新日期:2024-08-16
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