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¶ … healthcare model that could enable physicians determine their patients' susceptibility to future disease on the bases of their medical records, and most importantly, their similarity to other patients. They acknowledge that despite numerous studies indicating a shift from the traditional disease-based to the more effective patient-centered approach of healthcare delivery, there still exists a knowledge gap, particularly because of the lack of a computational tool that can effectively discover patients' disease patterns without "falling prey to the noise" (Chawla & Davis, 2013, p. 660). The authors put forth the CARE model, which they posit addresses these concerns better than the existing models. They base their development on a number of findings from exiting literature.
The CARE model establishes risk factors by leveraging a patient's symptoms and traits with their interactions and biological disease information. To this end, its operation rides on the findings of a 2009 study by Schadt, which held that phenotypes are produced through molecular interactions, and that hence, molecular and genetic "data can be integrated with phenotypic...
S661).
The CARE model derives from the collaborative filtering methodology, and guided by the findings of Burton et al. (2007), Loscalzo (2007) and Goldberg et al. (2001), assumes that rather than occurring in isolation, diseases result from the interaction of the various lifestyle, environmental, molecular, and genetic factors. To this end, patients exposed to similar genetic predispositions, environmental factors and lifestyles are likely to face similar challenges.
The collaborative filtering methodology, from which the CARE model derives, rides on the concept of data mining, which according to Synderman et al. (2006), is a fundamental construct of prospective healthcare that physicians can use to make better predictions, and develop more efficient prevention strategies.
What are some of the key points or findings this article presents?
The CARE model is an efficient approach to patient-centered healthcare, not only because it reveals more than fifty percent of the diseases a patient is likely to develop in their lifetime,…
References
Anderson, J.D. (2006). Qualitative and Quantitative Research. Imperial COE. Retrieved 6 June 2014 from http://www.icoe.org/webfm_send/1936
Chawla, N.V. & Davis, D.A. (2013). Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework. JGIM, 28(3), 660-665.
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