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Abstract Details
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Activity Number:
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29
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #303079 |
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Title:
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Hospital Re-Admission Risk Prediction and Stratification
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Author(s):
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Donghui Wu*+ and Ognian Asparouhvo
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Companies:
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Elsevier/MEDai and Elsevier/MEDai
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Address:
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4901 Vineland Rd, STE 450, Orlando, FL, 32811,
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Keywords:
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Hospital Re-admission Risk ;
Predictive Modeling ;
Health Economics ;
Data Mining
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Abstract:
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In this paper, we present our recent research on hospital re-admission, in particular re-admission within 30 days of last discharge. The dataset is one year hospital discharge administrative records from a US hospital system. The dataset contains about 70,000 discharges, of which 22% are re-admitted, and about 40% of re-admissions are re-admitted with 30 days of last discharge. We will present the characteristics of the data, admission and re-admission of various diseases; challenges of the problem; comparison of multiple techniques used to predict future re-admission, and their prediction results. We will also discuss policy implications from the study and possible future work.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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