Alert Recommendation Engine .

According to the patient's diagnosis or the drugs he takes, various Dr. advice and warnings

In Dakik Remote Patient Tracking Systems, all kinds of patients from all branches can be followed. The history, treatment and follow-up of each patient may differ from the other. For this reason, the topics to be recommended to each patient and what to do are different. For example, the recommendations for a patient who had a heart attack and a patient who had valve surgery are different. In the Dakik system, the recommendations and warnings prepared by the doctor according to the diagnosis of the patient, the treatment performed or arranged, the date of the operation or control, and even the drugs to be used are reported to the patient on a daily basis. Thus, for example; The patient monitors on the system how many days he can go out after the heart surgery, on which day he can have his stitches removed, on which day he can lie down, what to pay attention to while feeding. Again, when an oncological patient goes home after treatment, he starts to receive daily notifications through the system on what to pay attention to, hygiene conditions, what to do as a preventative measure due to the side effects of the drugs he takes, and how to regulate his diet. Another example is the notifications about the use of a blood thinner called warfarin. Those who use this drug are reminded of hundreds of situations that they will pay attention to for 1 year. A total of 1400 warnings and recommendations about Warfarin implement a daily patient information and education program. When users of this drug overuse certain nutrients, life-threatening complications such as bleeding or clotting may develop. Therefore, it is clear how important it is to inform the patient. Acting on this principle, the daily patients' attention and medical recommendations are sent to them with pictures, videos or animations via the Dakik Remote Patient Tracking System.

Likewise, in chronic diseases such as hypertension, the warning and suggestion engine dominates the subject. It can often be difficult to adjust and lower high blood pressure, whether after the outpatient procedure or after inpatient treatment. Again, in this system, patients are informed and treated. Suggestions are presented to the patient by blending with the results from the measurements. TOBB ETU University Artificial Intelligence Center works to make the system much more effective and beneficial.