Use of Predictive Analytics and Remote Monitoring Systems to Prevent and Reduce Mortality from Heart and Circulatory Diseases

Currently, there is a high need for the development of new effective and cost-effective organizational medical technologies that allow making optimal decisions on the tactics of treatment of patients with ACS.In urgent cardiology, timely diagnosis of risk factors for the development of adverse outcomes is of great importance. In this area, the study and implementation of organizational medical technologies that have proven effectiveness and are the most affordable in economic terms are of great interest. The introduction of digital technologies in health care is an important condition for improving the efficiency of health systems, as well as empowering citizens in the context of the transition to comprehensive, people-centered care.With the help of modern IT technologies, it is possible to find "weak points" in the existing clinical recommendations, which will contribute to their early revision, which, in accordance with the current regulatory framework, should be carried out at least once every three years, which in fact requires the continuity of this process.The basis of the modern urgent cardiology care service in the near future should be system-based platform IT solutions that allow improving the quality and efficiency of medical care through the practical implementation of a personalized risk-based approach based on the processing and analysis of big data.When a doctor needs to make a tactical decision quickly, it is optimal to use non-risk calculators, such as the GRACE scale, a reliable and effective medical decision support systems integrated into electronic medical records management systems, based on predictive analytics built on artificial intelligence tools.