Prediction across healthcare settings: a case study in predicting emergency department disposition.

ABSTRACT: Several approaches exist today for developing predictive models across multiple clinical sites, yet there is a lack of comparative data on their performance, especially within the context of EHR-based prediction models. We set out to provide a framework for prediction across healthcare settings. As a case study, we examined an ED disposition prediction model across three geographically and demographically diverse sites. We conducted a 1-year retrospective study, including all visits in which the outcome was either discharge-to-home or hospitalization. Four modeling approaches were compared: a ready-made model trained at one site and validated at other sites, a centralized uniform model incorporating data from all sites, multiple site-specific models, and a hybrid approach of a ready-made m

SUBMITTER: Barak-Corren Y 

PROVIDER: S-EPMC8674364 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature