Enhancing healthcare professional and caregiving staff informedness with data analytics for chronic disease management

Author

Na Liu
Robert John KAUFFMAN, Singapore Management UniversityFollow

Publication Type

Journal Article

Version

acceptedVersion

Publication Date

3-2021

Abstract

An important area in healthcare to which data analytics can be applied is chronic disease management. The chronic care model is mostly patient-centric, so patients have been considered as the end users of data analytics. The information needs of healthcare providers have been overlooked. Drawing upon the theory of informedness and the transtheoretical model of health behavior change, we use a multicase study approach to investigate the information needs of different caregiving stakeholders in the spectrum of chronic diseases, and how data analytics can be designed to meet the varying needs of professionals and staff to support their informedness.

Keywords

Behavioral change, Chronic disease management, Data analytics, Healthcare informedness, Healthcare organizations, Physicians, Theory of informedness, Transtheoretical model

Discipline

Databases and Information Systems | Health and Medical Administration | Health Information Technology

Research Areas

Information Systems and Management

Publication

Information and Management

Volume

58

Issue

2

First Page

1

Last Page

14

ISSN

0378-7206

Identifier

10.1016/j.im.2020.103315

Publisher

Elsevier

Citation

Liu, Na and KAUFFMAN, Robert John. Enhancing healthcare professional and caregiving staff informedness with data analytics for chronic disease management. (2021). Information and Management. 58, (2), 1-14.
Available at: https://ink.library.smu.edu.sg/sis_research/6842

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1016/j.im.2020.103315