DATA ANALYSIS IN THE HEALTHCARE CONTEXT: A SMART CITIES PERSPECTIVE

Abstract

Cities are characterized as smart when they prioritize and develop ways to link technology, infrastructure, knowledge, and policies to improve the quality of life of citizens. In addition, technological application alone is not capable of making a city smart, people must be able to adapt and interact with technologies, as well as it is essential that the large volume of data generated by different devices, in real-time, called Big Data, are analyzed and interpreted, transforming them into interpretable information. In this context, this study aims to identify data analysis in the context of healthcare, as one of the domains of Smart Cities. For this, a bibliographic review was carried out, using the Methodi Ordinatio methodology, resulting in a portfolio of articles with scientific relevance, which was the source of data collection and analysis. Thus, the results obtained demonstrate that the most studied technologies in this context seek to analyze data with Big Data Analytics techniques, encompassing Artificial Intelligence and Machine Learning, which analyze data generated by "devices" in which Electronic Health Records are collected, and "sensors" often associated with the Internet of Things. However, some challenges were found, highlighting the need for data security and privacy, with Blockchain technology being mentioned several times as a possible solution, thus, by combining digital technologies and data analysis techniques, an approximation is obtained. real of smart city concept.