Innovative Data Science to Transform Health Care: All the Pieces Matter

This issue of eGEMS focuses on application of data science as a driver of health care transformation. Importantly, quantitative or qualitative analysis with a particular method is only one downstream step in the process of leveraging data. Effective analytics occurs on a continuum with multiple comp...

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Detalles Bibliográficos
Autores principales: Masica, Andrew L., Escarce, José J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2019
Materias:
Commentary/Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715935/
https://www.ncbi.nlm.nih.gov/pubmed/31523696
http://dx.doi.org/10.5334/egems.314
Descripción
Sumario:This issue of eGEMS focuses on application of data science as a driver of health care transformation. Importantly, quantitative or qualitative analysis with a particular method is only one downstream step in the process of leveraging data. Effective analytics occurs on a continuum with multiple complementary phases, categorized here as data acquisition, ensuring or enhancing data access and usability, data analysis, and dissemination. Each of these activities is encompassed in the series of papers presented.

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