An Integrated AI Framework for Occupational Health: Predicting Burnout, Long COVID, and Extended Sick Leave in Healthcare Workers.

ABSTRACT:

Background

Healthcare workers face multiple, interlinked occupational health risks-burnout, post-COVID-19 sequelae (Long COVID), and extended medical leave. These outcomes often share predictors, contribute to each other, and, together, impact workforce capacity. Yet, existing tools typically address them in isolation.

Objective

The objective of this study to develop and deploy an integrated, explainable artificial intelligence (AI) framework that predicts these three outcomes using the same structured occupational health dataset, enabling unified workforce risk monitoring.

Methods

We analyzed data from 1244 Romanian healthcare professionals with 14 demographic, occupational, lifestyle, and comorbidity features. For each outcome, we trained a separate predictive model

SUBMITTER: Popa MV 

PROVIDER: S-EPMC12469670 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature