Results of testing of an automated system for clinical examination and preventive medical examinations

In the structures of medical prevention in medical institutions (MPI) in several regions the software testing with the functions of automatic analysis of questionnaires to identify chronic non-communicable diseases (NCD) and risk factors (RF) of their development, and the self-view of the FF, identified by the results of questionnaires and surveys within phase I clinical examination was conducted. Automating these processes has significantly increased the establishment of NCD risk factors. Objective: To evaluate the effectiveness of the automation process of identifying, evaluating and accounting systems' RF and determine the indications for the methods of the II stage of clinical examination in accordance with the requirements of the order, approved by the order of Ministry of Health of Russia from February 3, 2015 №36an. Materials and methods. In the July-September 2015 period as part of the clinical examination of individual groups of the adult population on the basis of departments and medical prevention offices in three regions of the Central Federal District with the use of specially developed software, adapted to the current regulatory and procedural requirements made collection and statistical analysis of data. Analyzed the incidence of risk factors and other pathological conditions that increase the likelihood of developing NCD, as a result of the program and the routine processing of questionnaires and the survey results as part of Phase I clinical examination of the comparative analysis of the data reporting forms №131 (Tab. 4000) formed routinely and software. Results. When comparing the data reporting forms №131, created in hospitals on the basis of routine and interpretation software profiles, comparable results were obtained only in relation to the fact of detection of tobacco smoking - 12.6% for software analysis against 11.3% in the analysis, performed by doctors. Other risk factors and conditions, the diagnostic criteria are listed in Appendix №2 to the conduct of the clinical examination, a multiple often identified with software analysis, questionnaires and results of the survey, carried out under Phase I clinical examination. Programmatically RF malnutrition was established in 79.7% of cases vs 24.7% of cases, certain physicians; low physical activity - 30.8% vs 18.5%; family history in the whole group - in 23.5% vs 4.7%; the risk of harmful alcohol consumption - to 3.1% vs 0.5%; the risk of the use of narcotic and psychotropic substances without a doctor's prescription was detected in 1.0% vs 0.1%; Diagnostic criteria for elevated blood pressure levels have been established in 36.5% vs 13.5%; dyslipidemia - 36% vs 18.1%; hyperglycemia - in 4.2% vs 3.1%; overweight - at 54.8% vs 15.6%, of them 29.5% vs 16,8% established obesity. When calculating the absolute cardiovascular risk, performed by software, high and very high levels of risk found at 5.1 and 1%, respectively, the last check-up. Conclusion: the automation of the processes of identification, assessment and accounting of RF and other pathological conditions improves the quality of the clinical examination, reducing the likelihood of errors and the effect of subjective factors in evaluating the data.

clinical examination, prevention, risk factors, an automated accounting system