Every year, hundreds of thousands of people in the world are forced to stay more time than predicted at the hospital, because of infections or falls. The associated costs are estimated to be up to US$ 75 billion per year only in USA, together with suffering of patients and families.
Using technology for tridimensional mapping of the environement, Higea gets data of people behaviour around the patient, like proximity, touch, number of people in the room, hand washing and protection equipment usage. This data is processed by AI and transformed into risk levels, offering the capability of predicting and preventing HAIs (hospital acquired infections)
Using the same mappung system as for HAIs prevention and AI, Higea is capable of undestanding and predicting the patient behaviour, to establish if there’s a risk of fall. If the fall happens, Higea sends an alarm to the nurse station, and plays a message to the patient for calming down and wait for help. The system also monitors if the patient will stand up without being allowed to.
Higea can provide not only real time alarms, but complete reports for hospital management to help them reduce or eliminate additional permanence of patients due to falls and HAIs, also saving the associated costs. The business model is based on subscription of data per cell, which can be a room, and ICU facility of a nursery environment.
In comparison to other solutions that focus on prevention, Higea capability of prediction allows much bigger savings and reduction of outcomes from falls and HAIs. Data can be used not only for improving existing services, but also for building new ones with a vision not anymore based on reaction.
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