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Acute Care Utilization Patterns During Chemotherapy and Predictive Model Development at a Rural Community Cancer Center

Description
Explores the development of a predictive model focused on identifying oncology patients at risk of all-cause and preventable acute care use, utilizing EHR data of 2,922 patients who received intravenous cancer treatment between October 2021 and April 2024 in a predominantly rural, midwestern cancer network. Provides data on the association between acute care use and clinical and demographic factors, including level of rurality.
Author(s)
McKenna Perrin, Crystal Hattum, Jamie Arens, Tobias Meissner
Citation
JCO Clinical Cancer Informatics, 9, e2500186
Date
11/2025
Tagged as
Cancer · Emergency department and urgent care services · Health information technology · Rural-urban differences · Statistics and data · Technology for health and human services