BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language

Computational medicine research requires clinical data for training and
testing purposes, so the development of datasets composed of real hospital
data is of utmost importance in this field. Most such data collections are in
the English language, were collected in anglophone countries, and do not
reflect other clinical realities, which increases the importance of such
national datasets for projects that hope to positively impact public health.
This paper presents a new Brazilian Clinical Dataset containing over 70,000
admissions from 10 hospitals in two Brazilian states, composed of a sum total
of over 2.5 million free-text clinical notes alongside data pertaining to
patient descriptors, prescription information, and exam results. This data was
collected, organized, deidentified, and is being distributed via credentialed
access for the use of the research community. In the course of presenting the
new dataset, we explore the new dataset's structure, population, and potential
benefits for use in clinical AI tasks.