Diabetes Mellitus and Hypertension are among the chronic conditions that most affect the population worldwide.Caring for people with these conditions requires involvement and a macro understanding of their social and health context, and in this context, the nurse, through the nursing consultation, is able to act as a mechanism for promoting health and improving quality of these individuals' lives.The risk classification for chronic conditions is a contributing factor in the care of these patients by nurses, and the use of information technologies can contribute to this process being carried out more effectively.Especially in Brazil, positive aspects have been evident in relation to the use of software capable of assisting nurses in caring for their patients, streamlining the data collection process, recording information and faster and more assertive access to the results arising from these insertions.The objective of this work was to develop and evaluate an application for classifying the risk of patients with high blood pressure and diabetes mellitus treated in health units in a city in the interior of the State of Minas Gerais.The research was developed in two stages: Stage 1: Development of the application to classify the risk of patients with Arterial Hypertension and Diabetes Mellitus; Step 2: Assessing the usability and performance efficiency of the application.For stage 1, the methodology used was based on the software life cycle and was based on the software prototype for risk classification of patients with high blood pressure and diabetes mellitus developed by Araújo (2017).To build the application, free technologies such as Microsoft .NET, C#, Angular, MySQL and Visual Studio Code were used.The development of the application was carried out by a team of developers, with the supervision and monitoring of the researcher, in every moment.In stage 2, after developing the software, it was evaluated by nine registered nurses working in a health unit in the city.At this stage, validation was carried out using the System Usability Scale (SUS) instrument, in its version validated for Portuguese.After using the application for risk classification, nurses demonstrated good acceptance of the tool, indicating that this software could be implemented for daily use in these professionals' routine.In addition to collecting information from nurses, it is understood that this software has great potential to bring more agility to the nursing consultation process, also contributing to access to patient information by the entire team, something fundamental considering the context of primary care.