An AI-driven service that enables us to determine the likelihood of complications in patients with diagnosed pneumonia based on the entries from their electronic health records.
The service is based on a predicative model that processes data from the electronic health record of a patient with diagnosed pneumonia (results of initial examination/history, tests, diagnoses). The artificial intelligence algorithms automatically process the information stored in the Health information systems (HIS) about a patient from the moment of hospitalization and, based on the data available in the system, forecast the likelihood of complications, further development and course of the disease, as well as identify high-risk patients.
How does it work?
What does it give?
Opportunity to prioritize the work of physicians
Forecasts of possible complications risk with pneumonia
Focus on complicated cases
Аssessment of patients’ histories