ArticleMedical care2017
Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission Risk Score.
Article in Medical care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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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, 2 syntheses or guidelines pooled it.
- The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review.BMC geriatrics · 2022Pooled it
- Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review.BMJ (Clinical research ed.) · 2020Pooled it
- Explainable and Trustworthy Artificial Intelligence in Cardiology: A Narrative Review of Clinical Applications, Operational Integration, and Future Directions.Journal of clinical medicine · 2026Review
- Early, unplanned readmission in diabetes inpatients: Comparing the utility and performance of machine learning and traditional prediction models to guide timely diabetes management team review.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning.Journal of the American Statistical Association · 2024Article
- Forecasting Hospital Readmissions with Machine Learning.Healthcare (Basel, Switzerland) · 2022Article
- Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare.Patterns (New York, N.Y.) · 2022Article
- Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals.International journal of environmental research and public health · 2021Article
- Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool.Journal of personalized medicine · 2020Article
- A comparative effectiveness trial of an information technology enhanced peer-integrated collaborative care intervention versus enhanced usual care for US trauma care systems: Clinical study protocol.Contemporary clinical trials · 2020Article
- Assess the Performance and Cost-Effectiveness of LACE and HOSPITAL Re-Admission Prediction Models as a Risk Management Tool for Home Care Patients: An Evaluation Study of a Medical Center Affiliated Home Care Unit in Taiwan.International journal of environmental research and public health · 2020Article
- Prevalence, Reasons, and Predisposing Factors Associated with 30-day Hospital Readmissions in Poland.International journal of environmental research and public health · 2019Article
- Potential Impact of Initial Clinical Data on Adjustment of Pediatric Readmission Rates.Academic pediatrics · 2019Article
- Article
- Discharge service as a determinant of 30-day readmission in a cohort of maintenance hemodialysis patients: a retrospective cohort study.BMC nephrology · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentifying patients at high risk for readmission early during hospitalization may aid efforts in reducing readmissions. We sought to develop an early readmission risk predictive model using automated clinical data available at hospital admission.
methodsWe developed an early readmission risk model using a derivation cohort and validated the model with a validation cohort. We used a published Acute Laboratory Risk of Mortality Score as an aggregated measure of clinical severity at admission and the number of hospital discharges in the previous 90 days as a measure of disease progression. We then evaluated the administrative data-enhanced model by adding principal and secondary diagnoses and other variables. We examined the c-statistic change when additional variables were added to the model.
resultsThere were 1,195,640 adult discharges from 70 hospitals with 39.8% male and the median age of 63 years (first and third quartile: 43, 78). The 30-day readmission rate was 11.9% (n=142,211). The early readmission model yielded a graded relationship of readmission and the Acute Laboratory Risk of Mortality Score and the number of previous discharges within 90 days. The model c-statistic was 0.697 with good calibration. When administrative variables were added to the model, the c-statistic increased to 0.722.
conclusionsAutomated clinical data can generate a readmission risk score early at hospitalization with fair discrimination. It may have applied value to aid early care transition. Adding administrative data increases predictive accuracy. The administrative data-enhanced model may be used for hospital comparison and outcome research.
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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.