Diagnosis point of view: The key issue is to reverse the concept of telemedicine. 
Dear Patient P! Analyzing your data, we would like to schedule a face-to-face consultation with Specialist Doctor E to avoid (seek to reduce) the risk of the occurrence of a certain disease D. The main challenge is that health is not explicitly defined in the diagnostic process. It is considered only as a complement to the disease. People mistakenly and invariably think that if I'm not sick, I'm healthy! But the light at the end of the tunnel is that when studying symptoms throughout life, it can be observed that the patient's physiology relates to the two universes: Health and Disease. Looking at a patient under the magnifying glass of a knowledge base in Graph DB, we can predict that if the physiology is in perfect working order, the disease is a certain safe degree away from the patient. If we eventually identify early warning signs in certain physiological dysfunctions, we can intervene to propose a return to that desired state even before the disease affects it.
The entire focus is on knowledge management to transform each interaction into knowledge, a fundamental basis for building a new culture related to AI applied to Digital Health. The Patient will be the center of the entire process. The basic idea is to provide, at appropriate times, contextualized knowledge for decision-making together with the patient. From there, create a culture in which each action can contribute to the continuous construction of your knowledge base and, consequently, your health. Here it is not the patient who goes to see the doctor, it is the doctor who goes to see the patient. And then yes, if necessary, call the patient for a face-to-face consultation in your office to evaluate a more specific clinical aspect, but now with all the information and tests necessary to ratify or exclude a diagnostic possibility.

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