Sabah Mohammed, Department of Computer Science, Lakehead University, Canada
Jinan Fiaidhi, Department of Computer Science, Lakehead University, Canada
Sami Mohammed, Department of Computer Science, Lakehead University, Canada
This paper presents a practice-based conceptual (theoretical) model to address therapy adherence. The paper uses the new notion of big data to describe of a model that can provide qualitative values for patient adherence and insights from the clinical narratives. This model has been designed to provide clinicians with a new approach to support the value based healthcare initiatives. The model is not fully tested as it is the next phase of the authors work.
Thick Data, Medication Adherence, Clinical Narratives, Patient Insight
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[2] BRAND MINDS, Why did Nokia fail and what can you learn from it? Jul 24, 2018, Available online: https://medium.com/multiplier-magazine/why-did-nokia-fail-81110d981787.
[3] ALEXANDER TURCHIN, NIKHEEL S. KOLATKAR, MERRI L. PENDERGRASS and ISAAC S. KOHANE, Computational analysis of non-adherence and non-attendance using the text of narrative physician notes.
APA:
Mohammed, S., Fiaidhi, J., & Mohammed, S. (2019). Learning Patient Adherence from the Clinical Narratives: A Thick Data Approach for Value Based Healthcare. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 124, 121-128. doi: 10.33832/ijast.2019.124.11.
MLA:
Mohammed, Sabah, et al. “Learning Patient Adherence from the Clinical Narratives: A Thick Data Approach for Value Based Healthcare.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 124, 2019, pp. 121-128. IJAST, http://article.nadiapub.com/IJAST/Vol124/11.html.
IEEE:
[1] S. Mohammed, J. Fiaidhi, and S. Mohammed, “Learning Patient Adherence from the Clinical Narratives: A Thick Data Approach for Value Based Healthcare.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 124, pp. 121-128, Mar. 2019.
IJAST aims to facilitate and support research related to advanced science and technology and the applications. Our Journal provides a chance for academic and industry professionals to discuss recent progress in the areas of advanced science and technology.
