ArticleJournal of personalized medicine2020
Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool.
Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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
15 citing papers in PubMed.
- Learning From the Adoption of a Readmission Clinical Decision Support Tool: Group Model Building Approach.JMIR human factors · 2026Article
- Review
- Enhancing Clinical Decision Support in Nephrology: Addressing Algorithmic Bias Through Artificial Intelligence Governance.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024Review
- Exploring the Feasibility of an Electronic Tool for Predicting Retention in HIV Care: Provider Perspectives.International journal of environmental research and public health · 2024Article
- Development and Validation of Inpatient Hypoglycemia Models Centered Around the Insulin Ordering Process.Journal of diabetes science and technology · 2024Article
- Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Impact of a hospital service for adults with chronic childhood-onset disease: A propensity weighted analysis.Journal of hospital medicine · 2023Observational
- Electronic health record-based readmission risk model performance for patients undergoing outpatient parenteral antibiotic therapy (OPAT).PLOS digital health · 2023Article
- Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors.JCO clinical cancer informatics · 2023Article
- Implementation Experience with a 30-Day Hospital Readmission Risk Score in a Large, Integrated Health System: A Retrospective Study.Journal of general internal medicine · 2022Article
- A Readmission Risk Model for Hospitalized Patients Receiving Dialysis: Evaluation of Predictive Performance.Kidney medicine · 2022Article
- Implementation of a telehealth videoconference to improve hospital-to-skilled nursing care transitions: Preliminary data.Journal of the American Geriatrics Society · 2022Article
- Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity.BMC medical informatics and decision making · 2022Article
- Inpatient pharmacists using a readmission risk model in supporting discharge medication reconciliation to reduce unplanned hospital readmissions: a quality improvement intervention.BMJ open quality · 2022Review
- Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Unplanned hospital readmissions represent a significant health care value problem with high costs and poor quality of care. A significant percentage of readmissions could be prevented if clinical inpatient teams were better able to predict which patients were at higher risk for readmission. Many of the current clinical decision support models that predict readmissions are not configured to integrate closely with the electronic health record or alert providers in real-time prior to discharge about a patient's risk for readmission. We report on the implementation and monitoring of the Epic electronic health record-"Unplanned readmission model version 1"-over 2 years from 1/1/2018-12/31/2019. For patients discharged during this time, the predictive capability to discern high risk discharges was reflected in an AUC/C-statistic at our three hospitals of 0.716-0.760 for all patients and 0.676-0.695 for general medicine patients. The model had a positive predictive value ranging from 0.217-0.248 for all patients. We also present our methods in monitoring the model over time for trend changes, as well as common readmissions reduction strategies triggered by the score.
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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.