Clinical Management of Cardiovascular Care on the Basis of Big Data: Electronic Medical Records

Abstract

Electronic medical records are a source of large amounts of information about human health. This study aimed to investigate the role of big data electronic medical records of patients with cardiovascular diseases to improve the clinical management of cardiovascular care processes. The study was carried out in 2017-2020. The subjects of the study were patients with cardiovascular diseases (n=2525) and cardiovascular surgeons of the vascular surgery department (n=6), forming big data with the help of digitalization and data analysis information system Interin ProMIS. Efficiency was assessed based on the results of analytical studies of the department's economic indicators, risks of end-cardiovascular points (myocardial infarction, stroke, death, bleeding), repeated surgeries, patients' persistence to optimal drug therapy, and implementation of doctor's recommendations. The study estimated the degree of cognitive and physical load on medical personnel in connection with the use of electronic medical turnover in terms of working hours, and economic efficiency of inpatient treatment. The observation time was 24 months. Analytical, statistical methods of research were applied. Revenues of the department increased from 64180 to 113497 thousand rubles. The incidence of endpoint cardiovascular events made 0.5% during two years of follow-up. The number of cardiovascular patients supervised by surgeons decreased to 4 patients per day against the background of electronic document management, which reduced the degree of cognitive and physical load. Big data analytics of electronic medical records contributes to the development of effective strategies for clinical management of the processes aimed at improving the health of cardiovascular patients.