Machine learning solution which minimizes the number of readmissions in the hospital and reduces the length of hospital stays by identifying the population risk segments and the situations that occur when patients are readmitted.
It improves the patient quality of life and reduces on costs. This is a grim situation for patients that cruel illness has come into their lives. They suffer from a lack of beds, recurring delays, sordid sensation of a lack of humanity in professional and patient relationships.
This Machine Learning engine correlates statistical information about different variables such as the doctor, the service, the diagnosis, the time of day, the age range and the place of origin. This platform clusters different groups of variables to identify patterns and discover insights not foreseen by analysts.