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Analytics in Action: When will I get out of the Hospital? Modeling Length of Stay Using a Disease Network

Analytics in Action: When will I get out of the Hospital? Modeling Length of Stay Using a Disease Network

Name:
Pankush Kalgotra

Department:
Management Science & Info Systems

Abstract:
Comorbidity is a medical condition when a patient develops multiple diseases simultaneously. We examine the impact of comorbidity on the patient’s hospital length of stay (LOS). We present a unique approach to model comorbidities by creating a network of diseases from the pair-wise combinations of the diseases diagnosed in the 1.6 million patient visits in US hospitals in 2011. Using the small-world property of the network, we proposed a new comorbidity score for a patient. Finally, we built an explanatory and predictive model on the patient visits in 2012, to predict a patient’s LOS. The model with our proposed comorbidity score outperformed the existing models.