Developing through a modeling of the database: an implementation of PEP for cardiovascular monitoring

The modeling data is very important in building systems, it gives an idea of the complete operation and helps in the process of mining data. From this information, a system was developed to facilitate the clinical management in primary health care, improving efficiency in reducing the morbidity and mortality. The software is focused on major cardiovascular risk factors: diabetes, hypertension, dyslipidemia and smoking, which are monitored after a registration information of the patient. Provides summary clinical information for management and through the processing of the results of subsequent laboratory tests, monitor the targets for therapies, according to the level of achievement of results, indicates maintenance or intensification of care.