Comparative health services research across populations: the unused opportunities in big data | Zendy

Benjamin A. Goldstein | Zendy; Wolfgang C. Winkelmayer­ | Zendy

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Comparative health services research across populations: the unused opportunities in big data

Author(s) -

Benjamin A. Goldstein,

Wolfgang C. Winkelmayer

Publication year - 2015

Publication title -

kidney international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.499

H-Index - 276

eISSN - 1523-1755

pISSN - 0085-2538

DOI - 10.1038/ki.2015.91

Subject(s) - big data , data science , health care , epidemiology , medline , population , yield (engineering) , disease , medicine , computer science , environmental health , data mining , biology , economics , pathology , economic growth , materials science , metallurgy , biochemistry

Large population registries present opportunities to understand the epidemiology of disease, study patters of care, and compare the effectiveness of different care practices. While these 'big data' tempt investigators to examine all available individuals, a targeted approach that restricts the study to an optimal sub-population may yield more relevant insights. We discuss how researchers might adapt their studies existing literature to generate additional insights.

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