ArticleJournal of the American College of Emergency Physicians open2025
Addressing Note Bloat: Solutions for Effective Clinical Documentation.
Article in Journal of the American College of Emergency Physicians open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Edge-Hosted LLM-Assisted NICU Discharge Summary Generation: Field-Level Evaluation Using a Clinician-Defined Rubric.Healthcare (Basel, Switzerland) · 2026Article
- To the Editor: Re: Making Progress on Progress Notes.Journal of graduate medical education · 2025Article
- Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe.Frontiers in artificial intelligence · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical documentation in the United States has grown longer and more difficult to read, a phenomenon described as "note bloat." This issue is especially pronounced in emergency medicine, where high diagnostic uncertainty and brief evaluations demand focused, efficient chart review to inform decision-making. Note bloat arises from multiple factors: efforts to enhance billing, mitigate malpractice risk, and leverage electronic health record tools that improve speed and completeness. We discuss best practices based on available evidence and expert opinion to improve note clarity and concision. Recent E/M coding reforms aim to streamline documentation by prioritizing medical decision-making over details of historical and physical examination, though implementation varies. New technologies such as generative artificial intelligence present opportunities and challenges for documentation practices. Addressing note bloat will require ongoing effort from clinical leadership, electronic health record vendors, and professional organizations.
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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 Socratic graph.