The Concept of the Digital Twin of the Radiation and Nuclear Facilities' Worker

Purpose: Analysis of the possibilities of a predictive model for assessing the risks of pathology of the cardiovascular, cerebrovascular systems and psychophysiological state in workers of radiation and nuclear hazardous enterprises and industries as part of the development of the concept of a digital twin.

Material and methods: The study involved employees of one of the leading radiation and nuclear hazardous enterprises, who underwent periodic medical examinations at comprehensive medical health center of the A.I. Burnazyan Federal Medical and Biological Center in September–October 2022. In total 154 patients (115 men and 39 women) were questioned, examined, and analyzed medical records. Diagnostic criteria for risk factors and other pathological conditions and diseases that increase the likelihood of developing chronic non-communicable diseases were evaluated both in accordance with the orders of the Ministry of Health and using the AI-HIPPOCRAT digital prognostic model developed by the Computer Science and Management Federal Research Center.

Results: In accordance with the criteria specified in the orders of the Ministry of Health, it was revealed that high or very high risks of developing diseases such as heart attack, stroke, hypertension and depression are observed in 120 people (77.9 %), and according to the analysis in the AI-HIPPOCRAT system, these risks occur in 131 people (85.1 %).

Conclusion: As a result of the study, the capabilities of the AI-HIPPOCRATE system were analyzed and the following recommendations were given for its use by workers of radiation and nuclear hazardous enterprises and industries: to integrate the AI-HIPPOCRAT system into the medical information system used at the enterprise; to divide the presented risk factors into three groups: manageable (on which the doctor or patient can influence), conditionally manageable (which can be influenced by the use of drugs) and uncontrollable, which the doctor and the patient cannot manage (for example, gender, age, etc.); to raise the threshold for setting the risk of a particular disease to “high and above”.