Application developed in partnership with the Health Informatics Center of the Faculty of Medicine of UFMG and students of the Course of Analysis and Development of Systems of FACISA, is free and non-profit.
It presents the list of pregnant women admitted to a maternity hospital with obstetric risk classification.
It also allows the classification of pregnant women in the 10 homogeneous groups proposed by Dr. Michel Robson.
A decision-making algorithm is used to quickly and practically group pregnant women in the 10 groups, with each group assuming preliminary clinical evidence, making a clinical decision regarding the performance of a normal delivery or cesarean delivery.
Since 2012 this classification is recommended by the WHO as an important comparator between the profile of pregnant women and a good indication of the avoidance of cesarean sections.
Only professionals previously registered by a hospital that uses the Maternal and Neonatal Information System (SISMater) can log in to the application.
All the data of the users and pregnant women, are end-to-end encrypted, besides apriori do not use data of personal identification of the pregnant woman (full name, address, telephone and serious clinical conditions).
It presents the list of pregnant women admitted to a maternity hospital with obstetric risk classification.
It also allows the classification of pregnant women in the 10 homogeneous groups proposed by Dr. Michel Robson.
A decision-making algorithm is used to quickly and practically group pregnant women in the 10 groups, with each group assuming preliminary clinical evidence, making a clinical decision regarding the performance of a normal delivery or cesarean delivery.
Since 2012 this classification is recommended by the WHO as an important comparator between the profile of pregnant women and a good indication of the avoidance of cesarean sections.
Only professionals previously registered by a hospital that uses the Maternal and Neonatal Information System (SISMater) can log in to the application.
All the data of the users and pregnant women, are end-to-end encrypted, besides apriori do not use data of personal identification of the pregnant woman (full name, address, telephone and serious clinical conditions).
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