We provide a scalable way for people to receive recommendations for action by telephone. Besides addressing specific questions about symptoms, we also assess the phonetics of the voice and can thus identify not only the semantic context but also dysphonia. Dysphonia is a strong indicator for shortness of breath, which is a key symptom of COVID19 disease.
Using AI-based real-time processing, we also detect coughing and other audible symptoms and can therefore provide accurate diagnostic recommendations for hotline agents. This 'hidden' support should be very helpful for agents, as users often tend to report false symptoms to increase the likelihood of being tested.
We respect all privacy policies in this regard by avoiding the storage of any personal data. In order to be able to continue to utilize the given information, we encode the entire conversation into a word pair, which the caller receives at the end of the conversation. With the help of these word pairs, doctors/clinics and research institutions can reconstruct the data and link it to the corresponding person, as long as the patient shares the word pair.