Why the study?
Enhanced patient stratification is vital to manage multimorbidity and reduce unplanned hospital admissions through personalized postdischarge service selection.
Can computational modeling predict mortality and readmission at 90 days after discharge in multimorbid nonsurgical patients?
Population
761 nonsurgical patients admitted to a tertiary hospital
Comparison
Predictive models and patient profiling using gradient boosting and K-means clustering
Design
Observational retrospective cohort study
Follow-up
90 days
Authors
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May aid 90-day risk stratification in multimorbid patients; leaves open whether models improve outcomes prospectively.
Can computational modeling predict mortality and readmission at 90 days after discharge in multimorbid nonsurgical patients?
Computational modeling using multisource data can effectively predict 90-day mortality and readmission in multimorbid patients, identifying distinct patient profiles to guide personalized postdischarge care.
González et al. (2023) studied this question.
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