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Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
Published on: December 12, 2019
Mapeo de la Carga de Documentación: Análisis de Centralidad y Agrupaciones entre Medidas y Plantillas de Diagramas de
Pinyue Wang1, Amy Finnegan2,3, Po-Yin Yen4
1Columbia University, Department of Biomedical Informatics, New York, NY.
Abstract:
This study applied network analysis (NA) to identify documentation burden in nursing flowsheets, quantifying and visualizing the interconnectedness of nursing flowsheet templates and measures. By analyzing centrality metrics and edge weights, we highlighted an outdated flowsheet structure and the need for a modern data structure. Using centrality metrics, we identified key templates and measures contributing to documentation burden, including highly repetitive nodes, central hubs, and intermediary nodes that facilitated communication in the network. Our findings showed that certain templates and measures exhibited consistently high centralities across multiple metrics, indicating opportunities for streamlining documentation structures. We also analyzed the communities in both networks to reveal the functional clusters of template and measure documentation. These insights provided a data-driven approach to understand documentation burden and inform opportunities to optimize documentation structures, particularly with increasing ambient technology integrations.
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