Development of a medical methodology for telemedicine screening of adult health in outpatient settings for population monitoring of chronic noncommunicable diseases

Abstract

Today, in many countries of the world, there is a steady increase in public spending related to health. One of the promising options for optimizing these costs is the widespread use of telemedicine as a method of remote medical care. It is known that the main contribution to the health of an individual and the population as a whole is made by lifestyle. Effective screening, timely detection of risk factors and diseases at the early stages of their development, medical examinations, universal opening of health centers, prevention offices, health schools – all these measures are aimed at increasing the duration and quality of life of the nation. Despite the availability and relatively low cost of well-known programs for remote screening, it is impossible not to mention their significant disadvantages: the lack of final analytical documents, the coverage of one or more systems, the need for a face-to-face visit to the doctor to calculate risks and determine further patient management tactics. The article proposes a methodology for telemedicine screening of adult health in outpatient settings using a system for analyzing unstructured data for population monitoring of chronic non-communicable diseases. The development is based on risk calculation using the method of “decision rules” as a means of description used in the theory of fuzzy sets. The result of the method developed by the authors is a variant of telemedicine questionnaire screening, which allows determining health risks by specific profiles, forming a final conclusion with recommendations for a healthy lifestyle, further examination, treatment and prevention of chronic diseases. The development can be used in public and private medical institutions. Of particular interest is the possibility of integrating software into medical practice in the current conditions of the pandemic, as well as in the state projects “Lean polyclinic”, “Arctic doctor” and “Zemsky doctor”.