ArticleFrontiers in digital health2022
Operationalizing a real-time scoring model to predict fall risk among older adults in the emergency department.
Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed.
- Using tele-paramedicine to conduct in-home fall risk reduction after emergency department discharge: Preliminary data.Journal of the American Geriatrics Society · 2025Article
- Machine Learning Operations in Health Care: A Scoping Review.Mayo Clinic proceedings. Digital health · 2024Review
- The First Step Is the Hardest: Understanding Posthospital Fall Risks in Brazilian Older Adults.Journal of the American Medical Directors Association · 2024Article
- Risk of falls is associated with 30-day mortality among older adults in the emergency department.The American journal of emergency medicine · 2024Observational
- Emergency Department (ED) Leaders' Perspectives on Offering HIV Preexposure Prophylaxis (PrEP) in New York City EDs: A Qualitative Study.The Journal of the Association of Nurses in AIDS Care : JANACArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictive models are increasingly being developed and implemented to improve patient care across a variety of clinical scenarios. While a body of literature exists on the development of models using existing data, less focus has been placed on practical operationalization of these models for deployment in real-time production environments. This case-study describes challenges and barriers identified and overcome in such an operationalization for a model aimed at predicting risk of outpatient falls after Emergency Department (ED) visits among older adults. Based on our experience, we provide general principles for translating an EHR-based predictive model from research and reporting environments into real-time operation.
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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 OpenQuestion graph.