Over the past few years, we have seen an exponential increase in the amount of data produced. This increase in data is due, in large part, to the massive use of sensors, as well as the immense amount of existing applications. Due to this factor, and in order to obtain relevant information through the data, companies, institutions and the scientific community are constantly looking for new solutions to be able to respond to the challenges. One of the areas where evolution is most needed is the area of healthcare, an area on which we all depend as a society. Every day, traditional healthcare information systems produce a large amount of data, making it complex to manage. Much of this data is produced by IoT devices, such as vital signs monitors, and in many cases can be critical to the patient’s health, as in the case of Intensive Care Units. In this sense, the main objective of this dissertation is to expose the advantages and disadvantages of the applicability of microservices architectures and the use of Apache Kafka in the health area, more specifically in Intensive Care Units where the information flow is critical. In order to support these objectives, a Proof of Concept was developed, based on a future real applicability, which will support the carrying out of analyzes and tests.