Taylor CO, Tarczy-Hornoch P. Personalized Medicine Implementation with Non-traditional Data Sources: A Conceptual Framework and Survey of the Literature.
Yearb Med Inform 2019;
28:181-189. [PMID:
31419830 PMCID:
PMC6697507 DOI:
10.1055/s-0039-1677916]
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Abstract
OBJECTIVES
With the explosive growth in availability of health data captured using non-traditional sources, the goal for this work was to evaluate the current biomedical literature on theory- driven studies investigating approaches that leverage non- traditional data in personalized medicine applications.
METHODS
We conducted a literature assessment guided by the personalized medicine unsolicited health information (pUHl) conceptual framework incorporating diffusion of innovations and task-technology fit theories.
RESULTS
The assessment provided an oveiview of the current literature and highlighted areas for future research. In particular, there is a need for: more research on the relationship between attributes of innovation and of societal structure on adoption; new study designs to enable flexible communication channels; more work to create and study approaches in healthcare settings; and more theory-driven studies with data-driven interventions.
CONCLUSION
This work introduces to an informatics audience an elaboration on personalized medicine implementation with non-traditional data sources by blending it with the pUHl conceptual framework to help explain adoption. We highlight areas to pursue future theory-driven research on personalized medicine applications that leverage non-traditional data sources.
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