Enhancing Healthcare Professional and Caregiving Staff Informedness with Data Analytics for Chronic Disease Management

Na Liu; Robert J. Kauffman

doi:10.1016/j.im.2020.103315

Enhancing Healthcare Professional and Caregiving Staff Informedness with Data Analytics for Chronic Disease Management

Na Liu^*, Robert J. Kauffman

^*Corresponding author for this work

Department of Digitalization

Research output: Contribution to journal › Journal article › Research › peer-review

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.

Original language	English
Article number	103315
Journal	Information and Management
Volume	58
Issue number	2
Number of pages	14
ISSN	0378-7206
DOIs	https://doi.org/10.1016/j.im.2020.103315
Publication status	Published - Mar 2021

Bibliographical note

Published online: 16. May 2020

Keywords

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

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Cite this

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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.",

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