Healthcare management based on primary data analysis

Abstract

For healthcare management purposes, it is important to have up-to-date operational data on mortality. A system of weekly analytical reports on population mortality was developed by the Ministry of Health of the Russian Federation during the COVID-19 period. The results of this monitoring formed the basis for making management decisions to improve the organization of medical care. Aim. Develop a mortality analysis model for use in health care management based on population mortality data. Materials and methods. The source of data on registered deaths for the period from 2019 to 2023 is the Federal Register of Medical Death Certificates of the Unified State Information System in the Healthcare Sector (FRMDC EGISZ), the Federal State Statistics Service, and the Federal Register of COVID-19 Patients. Data processing and visualization were performed using Microsoft Excel, PowerPoint and automatically based on the EGISZ. Results. The results of the weekly data of the FRMDC EGISZ are compared with the monthly mortality data published by Rosstat. The approach used allows maximum coverage of the contribution of acute infectious diseases, and patient mortality rates reflect the quality of medical care. Based on the selected indicators, an integral index is calculated that reflects the level of risk associated with COVID-19. Conclusion. Existing information systems and proven approaches to data analysis make it possible to improve the efficiency of management, while the set of indicators and the frequency of their calculation can be adapted to the needs of healthcare management.