Os desafios do uso de big data na avaliação em saúde
Abstract
In recent years there has been a huge increase in the amount of data available in the health area. This proliferation makes them increasingly inaccessible, creating a challenge that is how to make that data meaningful. In this essay on the challenges of using big data in health evaluation, the authors begin with a historical approach about the growth of the amount of data observed in the last decades, define what is big data, describe its characteristics and comment on the main difficulties for use by health evaluators. They also highlight their limitations, while pointing out their potential use in non-evaluative research, evaluability assessment studies, normative evaluations and evaluative research. They conclude by calling attention to the need to integrate the two approaches: one recently presented based on data as stated by the Science of Data and the other based on hypotheses as endorsed by the Scientific Method.
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