Innovative Data Science to Transform Health Care: All the Pieces Matter
Author(s) -
Andrew L. Masica,
José J. Escarce
Publication year - 2019
Publication title -
egems (generating evidence and methods to improve patient outcomes)
Language(s) - English
Resource type - Journals
ISSN - 2327-9214
DOI - 10.5334/egems.314
Subject(s) - usability , data science , computer science , data analysis , citation , analytics , process (computing) , health science , health care , information retrieval , data mining , world wide web , human–computer interaction , political science , medicine , medical education , law , operating system
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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