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ndltd-NEU--neu-cj82rk60b2021-04-13T05:14:16ZDetecting cause of readmission: a big data analytics approach.Rehospitalizations within a month discharge lead to tremendous cost to health system in the United States. The Hospital readmission is a constant source of researchers analysis particular in the US where the hospitals face increased pressure to reduce avoidable readmissions under the federal value-based purchasing program. The readmission rate has dropped since the penalty was acted but it is largely owning to the decline in readmissions to the original hospital. Patients readmitted to a different hospital experienced longer hospital stays. On the other hand, patients with comorbid mental and physical illness are particularly vulnerable to readmission.http://hdl.handle.net/2047/D20290534
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Rehospitalizations within a month discharge lead to tremendous cost to health system in the United States. The Hospital readmission is a constant source of researchers analysis particular in the US where the hospitals face increased pressure to reduce avoidable readmissions under the federal value-based purchasing program. The readmission rate has dropped since the penalty was acted but it is largely owning to the decline in readmissions to the original hospital. Patients readmitted to a different hospital experienced longer hospital stays. On the other hand, patients with comorbid mental and physical illness are particularly vulnerable to readmission.
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title |
Detecting cause of readmission: a big data analytics approach.
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spellingShingle |
Detecting cause of readmission: a big data analytics approach.
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title_short |
Detecting cause of readmission: a big data analytics approach.
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title_full |
Detecting cause of readmission: a big data analytics approach.
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title_fullStr |
Detecting cause of readmission: a big data analytics approach.
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Detecting cause of readmission: a big data analytics approach.
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detecting cause of readmission: a big data analytics approach.
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http://hdl.handle.net/2047/D20290534
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1719395782899007488
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