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.
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Kakhki, M.D., Singh, R., Loyd, K.W. (2015). Developing Health Analytics Design Artifact for Improved Patient Activation: An On-going Case Study. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_72
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DOI: https://doi.org/10.1007/978-3-319-16486-1_72
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