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Mapping Documentation Burden: Analyzing Centrality and Clusters among Flowsheet Measures and Templates Through

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Network analysis revealed significant documentation burden in nursing flowsheets, identifying key areas for streamlining. This study highlights opportunities to optimize data structures for improved efficiency in healthcare documentation.

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Area of Science:

  • Health Informatics
  • Network Science
  • Nursing Informatics

Background:

  • Nursing flowsheets are critical for patient care but can contribute to significant documentation burden.
  • Existing structures may be outdated, hindering efficient data capture and retrieval.
  • Understanding the interconnectedness of documentation elements is essential for optimization.

Purpose of the Study:

  • To apply network analysis (NA) to quantify and visualize documentation burden in nursing flowsheets.
  • To identify key templates and measures contributing to this burden.
  • To inform the optimization of nursing documentation structures.

Main Methods:

  • Network analysis (NA) was employed to map relationships between nursing flowsheet templates and measures.
  • Centrality metrics and edge weights were analyzed to identify influential nodes and connections.
  • Community detection algorithms were used to reveal functional clusters within the network.

Main Results:

  • The study identified an outdated flowsheet structure and highlighted specific templates and measures causing documentation burden.
  • Highly repetitive, central hub, and intermediary nodes were pinpointed as key contributors.
  • Consistently high centralities across multiple metrics indicated clear opportunities for streamlining documentation.

Conclusions:

  • Network analysis provides a data-driven approach to understanding and addressing documentation burden in nursing.
  • Optimization of documentation structures is necessary, especially with the integration of ambient technologies.
  • Findings support the need for modern data structures to improve nursing workflow efficiency.