This case study discusses challenges from a research perspective concerning data, accessibility, and translation using an intensive care unit (MIMIC III) database in the context of the mid-2018 healthcare technology environment. The researchers who conducted the case study argue that there is much room to grow for big data in healthcare including the need for more complete, precise, time-stamped data, investment in the de-identifying of private patient data, and the development of a way to standardize data captured during routine healthcare. If big data systems are able to meet these recommendations within the coming years, it may be possible for big data to reach its full potential.
ATHIKA Project no. 601106-EPP-1-2018-1-ES-EPPKA2-KA
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