ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Development and implementation of a real-time 30-day readmission predictive model.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Rate of Risk Factors for and Interventions to Reduce Hospital Readmission in Patients With Inflammatory Bowel Diseases.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2020Pooled it
- Implementation and Updating of Clinical Prediction Models: A Systematic Review.Mayo Clinic proceedings. Digital health · 2025Review
- Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN).International journal of environmental research and public health · 2021Article
- Early Prediction of Unplanned 30-Day Hospital Readmission: Model Development and Retrospective Data Analysis.JMIR medical informatics · 2021Article
- Clinician checklist for assessing suitability of machine learning applications in healthcare.BMJ health & care informatics · 2021Article
- Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction.JAMA network open · 2021Article
- Language models are an effective representation learning technique for electronic health record data.Journal of biomedical informatics · 2021Article
- Predicting 30-Day Hospital Readmission Risk in a National Cohort of Patients with Cirrhosis.Digestive diseases and sciences · 2020Article
- Development of a national Department of Veterans Affairs mortality risk prediction model among patients with cirrhosis.BMJ open gastroenterology · 2019Article
- Risk-adjustment models for heart failure patients' 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record.BMC health services research · 2016Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospitals are under great pressure to reduce readmissions of patients. Being able to reliably predict patients at increased risk for rehospitalization would allow for tailored interventions to be offered to them. This requires the creation of a functional predictive model specifically designed to support real-time clinical operations. A predictive model for readmissions within 30 days of discharge was developed using retrospective data from 45,924 MGH admissions between 2/1/2012 and 1/31/2013 only including factors that would be available by the day after admission. It was then validated prospectively in a real-time implementation for 3,074 MGH admissions between 10/1/2013 and 10/31/2013. The model developed retrospectively had an AUC of 0.705 with good calibration. The real-time implementation had an AUC of 0.671 although the model was overestimating readmission risk. A moderately discriminative real-time 30-day readmission predictive model can be developed and implemented in a large academic hospital.
Indexed as
Identifiers
25954346PMC4419988What 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.