How Healthcare Can Change Based On Big Data and Biomedical Sciences

Abstract

Anika Staack

The current prediction is that within the next 30 to 40 years, the global average lifespan will be around 80 years and that personalized medicine will be standard [1]. It is very promising and it seems that it can be reached within this relative short time due to the fact of increased internationally cooperation research as well a better usage of big data [1.2]. And although the technologies are leading to new insights and possibilities, it is not guaranteed that the outcome will be better healthcare for everyone. At the moment, the potential risks, benefit evaluation and outcomes are unknown [3]. In addition, policies require changes in regards to data usage and sharing, access and rights [4]. And consensus needs to be reached about analytic methods and adjustment of research design [4]. Otherwise, the huge amount of data and different approaches without taking into consideration the outcomes might overwhelm us and lead to biased and factually flawed conclusions. And as the techniques and tools are developing so quickly and promising so much, it is time to take a break to think about which direction we want to do, with what kind of risks and uncertainties.

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