Developing health analytics design artifact for improved patient activation: An on-going case study

1Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Health organizations have the opportunity to incorporate purposeful data analytics to improve decision making related to healthcare. Yet, adoption of analytics techniques in healthcare lags behind other industries. Patient activation refers to patients playing an active role in managing their own health and health care, and their perceived confidence in their ability to manage their own health. Yet, little search exists to guide the design of big data analytics that identify, monitor and improve the healthcare organization’s efforts in patient activation. The overall goal of the research is to fill this important gap. The focus is to collect and analyze data and develop our case-research based framework and its application in the development of Health Analytics Design Artifact for Improved Patient Activation.

Cite

CITATION STYLE

APA

Kakhki, M. D., Singh, R., & Loyd, K. W. (2015). Developing health analytics design artifact for improved patient activation: An on-going case study. In Advances in Intelligent Systems and Computing (Vol. 353, pp. 733–739). Springer Verlag. https://doi.org/10.1007/978-3-319-16486-1_72

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free