ArticleJournal of healthcare risk management : the journal of the American Society for Healthcare Risk Management2025
From framework to frontline: Embedding enterprise risk management into emergency department fall prevention.
Article in Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- From framework to frontline: Embedding enterprise risk management into emergency department fall prevention.Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This letter to the editor responds to Bailey and Delchamps' recent article on integrating enterprise risk management (ERM) in fall-related injury prevention. We extend their framework to emergency departments (EDs), emphasizing the strategic advantage of initiating individualized fall risk assessment at the point of triage. Many high-risk indicators-such as anticoagulant use and cognitive impairment-are already accessible in ED settings and can be embedded into machine learning-supported tools like the Rothman index or fall triage score. We also highlight the financial implications of fall-related injuries originating in or near the ED, noting their potential to increase hospital length of stay and trigger non-reimbursable costs. The authors' inclusion of risk matrices and heat maps presents scalable opportunities for safety prioritization in dynamic ED environments. We conclude by recommending prospective validation of ERM-based approaches within level 1 trauma centers and invite collaboration to test the framework's effectiveness in real-world emergency settings.
Indexed as
Identifiers
What 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.