METHODS OF MEDICAL DATA MANAGEMENT TO IMPROVE DECISION MAKING EFFICIENCY

The relevance of the study is due to using digitalization and data processing methods in healthcare as a link that in-creases the efficiency of the organizational system, which is a medical institution. The feasibility of using medical data accumulated in the information systems of medical institutions for their processing and development of manage-ment decisions is obvious. The methods of mathematical statistics are considered, the task of which is to compare the average values of quantitative and binary samples to determine the relationship between the indicators of clinical and biochemical blood tests and occupational morbidity. Medical data are depersonalized. The paper tests a technique that makes it possible to bring the samples to homogeneity by age and gender. The performed analysis determines a statistically significant difference in the groups of the surveyed in terms of clinical blood test and biochemistry indi-cators. One expects that the results obtained during the study will provide a more accurate assessment of having the risk of occupational diseases. The recommended method will help improve the data processing methodology, and con-tribute to advancing management decisions in medicine.