ArticleJournal of the American Medical Informatics Association : JAMIA2019
The number needed to benefit: estimating the value of predictive analytics in healthcare.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.Applied clinical informatics · 2021Pooled it
- Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine.Scientific reports · 2022Trial
- Income-related Inequalities in Cancer Screening Among Korean Adults Aged 40 and Above: A Cross-sectional Analysis of the Age-varying Mediation of Health Literacy.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Article
- Early detection of adults ADHD using electronic health records: A machine learning study.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Preventing, identifying, and managing sepsis in the community: research and clinical priorities.The Lancet. Primary care · 2025Article
- IAPN: a simple framework for evaluating whether a population-based risk stratification tool will be cost-effective before implementation.Cost effectiveness and resource allocation : C/E · 2024Article
- Achieving large-scale clinician adoption of AI-enabled decision support.BMJ health & care informatics · 2024Article
- Review
- Evaluation of an approach to clinical decision support for preventing inpatient falls: a pragmatic trial.JAMIA open · 2023Article
- Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit.Diagnostics (Basel, Switzerland) · 2023Article
- Predictive Modeling to Identify Children With Complex Health Needs At Risk for Hospitalization.Hospital pediatrics · 2023Article
- Artificial intelligence-enabled classification of hypertrophic heart diseases using electrocardiograms.Cardiovascular digital health journal · 2023Article
- Conformal Prediction in Clinical Medical Sciences.Journal of healthcare informatics research · 2022Review
- A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Evaluation of Incident 7-Day Infection and Sepsis Hospitalizations in an Integrated Health System.Annals of the American Thoracic Society · 2022Article
- Predictive Analytics in Clinical Practice: Advantages and Disadvantages.Acta neurochirurgica. Supplement · 2022Article
- How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.BMC medical informatics and decision making · 2021Article
- Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward Patients.Critical care medicine · 2021Article
- A framework for making predictive models useful in practice.Journal of the American Medical Informatics Association : JAMIA · 2021Article
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
Predictive analytics in health care has generated increasing enthusiasm recently, as reflected in a rapidly growing body of predictive models reported in literature and in real-time embedded models using electronic health record data. However, estimating the benefit of applying any single model to a specific clinical problem remains challenging today. Developing a shared framework for estimating model value is therefore critical to facilitate the effective, safe, and sustainable use of predictive tools into the future. We highlight key concepts within the prediction-action dyad that together are expected to impact model benefit. These include factors relevant to model prediction (including the number needed to screen) as well as those relevant to the subsequent action (number needed to treat). In the simplest terms, a number needed to benefit contextualizes the numbers needed to screen and treat, offering an opportunity to estimate the value of a clinical predictive model in action.
Indexed as
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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.