A Retrospective Analysis of the Adherence to Clinical Practice Guidelines Using the "MedicBK" Digital Platform in Patients With Hypertension and Atrial Fibrillation

There is a lot of data from registries about poor adherence to guidelines. It is connected with a problem that patients usually have a lot of comorbidities and physicians need to know сonsequently the huge number of medications and combinations. It is very difficult to decide quickly according to available data from libraries like PubMed. The Clinical Decision Support Systems (CDSS) based on real clinical data and its own Artificial Intelligence algorithms can help to make the right choice. This trial is designed to assess the difference between retrospective electronic medical cards (EMC) therapy prescriptions and MedicBK prescriptions based on key patient characteristics. Two groups of experts (cardiologists with clinical practice for more than 5 years) will be participating in the trial. Using main characteristics from EMC the first group of experts will put this data into MedicBK platform and assess retrospective treatment. The next blinded group of experts will perform prescriptions using MedicBK algorithms based on current guidelines and data from available clinical trials. The main hypothesis is the use Clinical Decision Support Systems (CDSS) better than current clinical practice. This option can help to make the right choice of medical combination based on main patient's clinical characteristics