A theoretical framework for research on readmission risk prediction

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Eigner I, Bodendorf F, Wickramasinghe N
Publication year: 2019
Conference Proceedings Title: 32ND Bled eConference Humanizing Technology for a Sustainable Society
Pages range: 387 - 410
ISBN: 978-961-286-280-0
Language: English


Abstract

On the one hand, predictive analytics is an important field of research in Information Systems (IS); however, research on predictive analytics in healthcare is still scarce in IS literature. One area where predictive analytics can be of great benefit is with regard to unplanned readmissions. While a number of studies on readmission prediction already exists in related research areas, there are few guidelines to date on how to conduct such analytics projects. To address this gap the paper presents the general process to develop empirical models by Shmueli and Koppius (2011) and extends this to the specific requirements of readmission risk prediction. Based on a systematic literature review, the resulting process defines important aspects of readmission prediction. It also structures relevant questions and tasks that need to be taken care of in this context. This extension of the guidelines by Shmueli and Koppius (2011) provides a best practice as well as a template that can be used in future studies on readmission risk prediction, thus allowing for more comparable results across various research fields.


FAU Authors / FAU Editors

Bodendorf, Freimut Prof. Dr.
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Eigner, Isabella
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich


Research Fields

Digital Analytics
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich


How to cite

APA:
Eigner, I., Bodendorf, F., & Wickramasinghe, N. (2019). A theoretical framework for research on readmission risk prediction. In 32ND Bled eConference Humanizing Technology for a Sustainable Society (pp. 387 - 410). Bled, SI.

MLA:
Eigner, Isabella, Freimut Bodendorf, and Nilmini Wickramasinghe. "A theoretical framework for research on readmission risk prediction." Proceedings of the Bled eConference, Bled 2019. 387 - 410.

BibTeX: 

Last updated on 2019-09-07 at 11:23