TY - JOUR
T1 - Enhancing Healthcare Professional and Caregiving Staff Informedness with Data Analytics for Chronic Disease Management
AU - Liu, Na
AU - Kauffman, Robert J.
N1 - Epub ahead of print. Published online: 16. May 2020
PY - 2020/5/16
Y1 - 2020/5/16
N2 - 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.
AB - 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.
KW - Behavioral change
KW - Chronic disease management
KW - Data analytics
KW - Healthcare informedness
KW - Healthcare organizations
KW - Physicians
KW - Theory of informedness
KW - Transtheoretical model
KW - Behavioral change
KW - Chronic disease management
KW - Data analytics
KW - Healthcare informedness
KW - Healthcare organizations
KW - Physicians
KW - Theory of informedness
KW - Transtheoretical model
UR - https://sfx-45cbs.hosted.exlibrisgroup.com/45cbs?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=954921393020
U2 - 10.1016/j.im.2020.103315
DO - 10.1016/j.im.2020.103315
M3 - Journal article
AN - SCOPUS:85085595235
JO - Information & Management
JF - Information & Management
SN - 0378-7206
M1 - 103315
ER -