We created a recommendation system software, that includes reports, dashboards about diseases, epidemics, domestic violence, and minority groups are needed by doctors, governments, research institutes, private sector, and NGOs to create effective action plans and contingencies to solve the problems fast and to cut costs. As an example, we inform disease type growth, population habits, and many others.


The system can be used anywhere, although a prototype is already working. The information and recommendations are nowadays sent to the District Head of 17 health districts (including the Amazon area) in Ecuador.

As a result, a synergy between the stakeholders is created by feeding the system with local information and the system creates intelligence enough to empower local doctors to attend to the population efficiently at the right cost and time. This can be used both proactively or reactively avoiding the loading of the public healthcare system.

Examples of data sets are about race (especially indigenous), sexual harassment, domestic & psychological violence, disease records in the Amazon area, frequency of operating units, epidemics/catastrophic illnesses, minority groups, violence against children.

As a result, more than +45.884 record cases studied per operative units; +10 diseases studies; +11 racial groups studies; +10 priority groups studies(Sexual violence, psychological violence, natural disasters affected people, child aggression, illness people, pregnant women, catastrophic diseases, harassed women, etc.); +100K medical records analyzed; +17K indigenous impacted with the analysis;  +4,5K cases studied of disabilities persons; +3.3K of pregnant women's studies to prevent them in the future.

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