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

• Main Authors: Liu, Na, KAUFFMAN, Robert John
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Behavioral change; Chronic disease management; Data analytics; Healthcare informedness; Healthcare organizations; Physicians; Theory of informedness; Transtheoretical model; Databases and Information Systems; Health and Medical Administration; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/6842; https://ink.library.smu.edu.sg/context/sis_research/article/7845/viewcontent/Informedness_2021_av.pdf
• Institution: Singapore Management University

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.