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ABSTRACT: Background
Patients with mood or psychotic disorders experience high rates of unplanned hospital readmissions. Predicting the likelihood of readmission can guide discharge decisions and optimize patient care.Objective
The purpose of this study is to evaluate the predictive power of structured variables from electronic health records for all-cause readmission across multiple sites within the Mass General Brigham health system and to assess the transportability of prediction models between sites.Methods
This retrospective, multisite study analyzed structured variables from electronic health records separately for each site to develop in-site prediction models. The transportability of these models was evaluated by applying them across different sites. Predictive perfor
SUBMITTER: Ren B
PROVIDER: S-EPMC12431164 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature