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Prediction Models for Readmission Using Home Healthcare Notes and OMOP-CDM
Sujin Gan1, Chungsoo Kim1, Dong Yun Lee2
1Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
Abstract:
This study developed readmission prediction models using Home Healthcare (HHC) documents via natural language processing (NLP). An electronic health record of Ajou University Hospital was used to develop prediction models (A reference model using only structured data, and an NLP-enriched model with structured and unstructured data). Among 573 patients, 63 were readmitted to the hospital. Five topics were extracted from HHC documents and improved the model performance (AUROC 0.740).
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