ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024
Mapping Documentation Burden: Analyzing Centrality and Clusters among Flowsheet Measures and Templates Through Network Analysis.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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 By analyzing centrality metrics and edge weights, we highlighted an outdated flowsheet structure and the need for a modern data structure.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.
Indexed as
Identifiers
41726478PMC12919536What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.