In our innovation center, we specialize in the development of technologies and services that support decision making in the socio-health and management fields.
Our solutions are designed to be accessible and understandable to all audiences, without losing the professional and technical approach that guarantees the quality of our services.
– Within our Socio-Healthcare Decision Support line, we offer advanced biomedical signal processing tools and Machine Learning applications.
These technologies allow us to analyze and extract relevant information from biomedical data to support socio-healthcare professionals in decision making.
Our goal is to generate early warnings, provide contextual information and improve the quality of care provided by professionals.
– In addition, we have Management Decision Support solutions, which are based on interoperability using standards and discrete process modeling or the Digital Twin concept.
These tools enable the collection, analysis and visualization of information on management processes, providing managers with a comprehensive view of operations.
This enables them to make informed decisions and appropriately size the resources needed to optimize efficiency and quality of services.
Our solutions address important challenges in the social-healthcare and management areas.
In the case of Social Healthcare Decision Support, we seek to support the work of social healthcare professionals by generating early warnings, identifying patterns and providing relevant information to support decision making.
This contributes to improving the quality of care, reducing risks and providing more effective and personalized care to patients.
On the other hand, in the area of Management, our Decision Support helps managers and decision-makers face the challenges of sizing and strategic decision-making.
By providing detailed information on processes and using data analysis and visualization tools, we enable managers to make informed and efficient decisions, helping to optimize resources, improve operational efficiency and ensure quality in the delivery of healthcare services.
