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Information Systems Frontiers

Erschienen in:

17.10.2018

Clinical Decision Support System for Managing COPD-Related Readmission Risk

verfasst von: C. Derrick Huang, Jahyun Goo, Ravi S. Behara, Ankur Agarwal

Erschienen in: Information Systems Frontiers | Ausgabe 3/2020

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Abstract

Hospital readmission is an important quality-of-care indicator that reflects challenges in quality of in-patient care and the difficulty of coordination of care after the transition back into the community. It can also be a significant financial burden, especially as it relates to Medicare and Medicaid costs now and into the future. In this study, we develop a text-mining-based methodology for providing decision support to identify patients with Chronic Obstructive Pulmonary Disease (COPD), one of the leading causes of disability and mortality worldwide, that are likely to be readmitted. The proposed methodology is tested with real-life data to demonstrate how it can be used to help healthcare providers target high-risk discharged patients to reduce readmission.

Vorheriger Artikel An Exploration of the Role of Service Recovery in Negative Electronic Word-of-Mouth Management

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Titel: Clinical Decision Support System for Managing COPD-Related Readmission Risk
verfasst von: C. Derrick Huang
Jahyun Goo
Ravi S. Behara
Ankur Agarwal
Publikationsdatum: 17.10.2018
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 3/2020
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-018-9881-4

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