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Social network analysis informed a new hospital workspace layout, enhancing team resilience. This approach identified key personnel and optimized shift assignments for improved healthcare operations.

Keywords:
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Area of Science:

  • Healthcare Management
  • Organizational Psychology
  • Network Science

Background:

  • Hospital campus expansion necessitated relocating key services: rapid response team, medical on-call team, and nursing supervision.
  • Initial workspace layout proposals were based on anecdotal evidence, lacking empirical support.

Purpose of the Study:

  • To introduce a social network analysis (SNA) methodology for designing a shared workspace layout.
  • To assess the suitability of workspace layouts by analyzing relationships across four healthcare resilience abilities: monitor, anticipate, respond, and learn.
  • To leverage network metrics for optimizing staff allocation and ensuring consistent collective resilience.

Main Methods:

  • A three-stage process involving data collection on social interactions and resilience abilities.
  • Utilizing sociograms to visualize social networks and inform workspace layout alternatives.
  • Developing a resilience score from social network metrics to guide shift allocation strategies.

Main Results:

  • Social network metrics identified key individuals crucial for service resilience.
  • Sociograms visually represented the spatial distribution of influential personnel within the proposed layout.
  • The SNA approach facilitated the integration of data, preferences, and constraints into layout design.

Conclusions:

  • The SNA-based approach provides a data-driven method for creating resilient healthcare workspaces.
  • The study demonstrates the utility of network metrics in optimizing both physical layout and operational strategies like shift allocation.
  • This methodology supports the development of adaptive and resilient healthcare service delivery models.