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Readmissions: Data Quality and Prediction
- Jason Andrew Thomas
- Adam B. Wilcox
- Eun J. Joo
Date created: 2021-04-15 11:33 PM | Last Updated: 2021-04-15 11:46 PM
Identifier: DOI 10.17605/OSF.IO/VK65X
Category: Project
Description: Poster presented at the 2018 National Library of Medicine Training Conference. The greatest inter-hospital variability and hospital-quality signals for unplanned readmission risk are found the first day after discharge and reach nadir after seven days. Same day readmissions may have even greater variability and quality signals. Yet, they are commonly excluded due to data quality concerns. The University of Washington health system receives external visit data through a statewide Health Information Exchange facilitator, Collective Medical Technologies, for attributed patients. However, data quality – namely currency and completeness are unknown overall
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