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The continuing efforts to lower hospital readmission rates in the US from a profound awareness of the frequency of readmissions and their financial burden on the healthcare system. Hospital readmissions are prevalent among discharged patients in the US, particularly among those with pre-existing health conditions and the elderly demographic [1, 2]. Furthermore, decreasing readmission rates is acknowledged as integral to national quality improvement strategies, incentivized by healthcare policies. Consequently, there is a high demand for predictive models to assess readmission risk, aiming to enhance patient care and diminish healthcare expenditures.

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Predicting Patient Unplanned Readmissions

  • 章节

  • 发表日期：

    2026年

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  • Srinivas Kilambi,
  • Mahesh Banavar

摘要

The continuing efforts to lower hospital readmission rates in the US from a profound awareness of the frequency of readmissions and their financial burden on the healthcare system. Hospital readmissions are prevalent among discharged patients in the US, particularly among those with pre-existing health conditions and the elderly demographic [1, 2]. Furthermore, decreasing readmission rates is acknowledged as integral to national quality improvement strategies, incentivized by healthcare policies. Consequently, there is a high demand for predictive models to assess readmission risk, aiming to enhance patient care and diminish healthcare expenditures.