Workspace Layout for Resilient Performance using Social Network Analysis: A Case Study.

Autor:	Fogliatto FS; Industrial Engineering Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil., Saurin TA; Industrial Engineering Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil., Tortorella GL; Mechanical Engineering Dept., University of Melbourne, Melbourne, Australia., Dora JM; Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil., Tonetto LM; School of Industrial Design, College of Design, Georgia Institute of Technology, Atlanta, USA.
Jazyk:	angličtina
Zdroj:	HERD [HERD] 2024 Oct; Vol. 17 (4), pp. 294-314. Date of Electronic Publication: 2024 Aug 16.
DOI:	10.1177/19375867241271435
Abstrakt:	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. Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Databáze:	MEDLINE
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