A framework for the estimation and reduction of hospital readmission penalties using predictive analytics

Abstract Background Recent US legislation imposes financial penalties on hospitals with excessive patient readmissions. Predictive analytics for hospital readmissions have seen an increase in research due to the passage of this legislation. However, many current systems ignore the formulas used by t...

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Bibliographic Details
Main Authors: Christopher Baechle, Ankur Agarwal
Format: Article
Language:English
Published: SpringerOpen 2017-11-01
Series:Journal of Big Data
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40537-017-0098-z