Iot and machine learning tools for monitoring and tracking pregnant patients at risk of extreme maternal morbidity at fundación hospital San Pedro - Pasto, Colombia

Maternal Near Miss (MNM) is a severe complication that can occur during pregnancy, childbirth or within 42 days after termination of pregnancy, which puts the life of the pregnant mother at risk, so immediate action must be taken to avoid a fatal outcome; The MNM in Colombia has had a continuous process of epidemiological surveillance since 2012, the above in order to reduce the number of cases that occur daily in the country, which to date remains an unmet challenge and a situation that it seeks to mitigate. At the Fundación Hospital San Pedro (FHSP) in the city of Pasto, several strategies have been implemented to counteract the phenomenon and try to act in time in the presence of a possible complication in pregnant patients that leads to classifying them as cases of MNM; According to the aforementioned, this document describes the progress in the development of applied research, which proposes the use of Internet of Things and Machine Learning tools for the monitoring and follow-up of patients at risk of MNM in the FHSP. The research is in an early phase, but the architecture of the technological system and the route for the development of software applications that incorporate the aforementioned tools have already been defined. The above in order to mitigate the occurrence of MNM cases initially within the FHSP, but regional and national scope.