Prediction and Management of Readmission Risk for Congestive Heart Failure

Senjuti Basu Roy, Si-Chi Chin

2014

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.

Paper Citation

in Harvard Style

Basu Roy S. and Chin S. (2014). Prediction and Management of Readmission Risk for Congestive Heart Failure . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 523-528. DOI: 10.5220/0004915805230528

in Bibtex Style

@conference{healthinf14,
author={Senjuti Basu Roy and Si-Chi Chin},
title={Prediction and Management of Readmission Risk for Congestive Heart Failure},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={523-528},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004915805230528},
isbn={978-989-758-010-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Prediction and Management of Readmission Risk for Congestive Heart Failure
SN - 978-989-758-010-9
AU - Basu Roy S.
AU - Chin S.
PY - 2014
SP - 523
EP - 528
DO - 10.5220/0004915805230528