Prediction and management of readmission risk for congestive heart failure

Senjuti Basu Roy, Si Chi Chin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This position paper investigates the problem of 30-day readmission risk prediction and management for Congestive Heart Failure (CHF), which has been identified as one of the leading causes of hospitalization, especially for adults older than 65 years. The underlying solution is deeply related to using predictive analytics to compute the readmission risk score of a patient, and investigating respective risk management strategies for her by leveraging statistical analysis or sequence mining techniques. The outcome of this paper leads to developing a framework that suggests appropriate interventions to a patient during a hospital stay, at discharge, or post hospital-discharge period that potentially would reduce her readmission risk. The primary beneficiaries of this paper are the physicians and different entities involved in the pipeline of health care industry, and most importantly, the patients. This paper outlines the opportunities in applying data mining techniques in readmission risk prediction and management, and sheds deeper light on healthcare informatics.

Original languageEnglish (US)
Title of host publicationHEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PublisherSciTePress
Pages523-528
Number of pages6
ISBN (Print)9789897580109
DOIs
StatePublished - 2014
Externally publishedYes
Event7th International Conference on Health Informatics, HEALTHINF 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France
Duration: Mar 3 2014Mar 6 2014

Publication series

NameHEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

Other

Other7th International Conference on Health Informatics, HEALTHINF 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
CountryFrance
CityAngers, Loire Valley
Period3/3/143/6/14

All Science Journal Classification (ASJC) codes

  • Health Informatics

Keywords

  • Hospital readmission risk prediction
  • Predictive modeling
  • Readmission risk management

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