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

Na Liu*, Robert J. Kauffman

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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 languageEnglish
Article number103315
JournalInformation and Management
Issue number2
Number of pages14
Publication statusPublished - Mar 2021

Bibliographical note

Published online: 16. May 2020


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

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