Operational medical statistics (analytics) in a Traumatolgical hospital

The creation of such schemas is feasible at the level of an individual medical organization and provides the foundation for building operational statistical and analytical systems. Given the large number of metrics and the immense volume of processed data, modern analytical systems are indispensable. These systems must include ready-made algorithms for data processing and end-to-end automation of all stages—from data entry to the generation of ready-to-use reports.Operational reports should be prepared within seconds or minutes, enabling timely analysis and the identification of negative trends for immediate corrective action.What is the problem?Current operational reports are generated manually and are characterized by relatively long preparation and loss of relevance, a small number of indicators under consideration, and the inability to quickly and consistently rebuild a set of reports with rapid changes in cross-sections (filters). It is extremely important to develop and implement operational analytics tools in order to respond in a timely manner to threats that arise during the year (using the example of a trauma hospital).Vision for implementationThe tables necessary for building operational analytics, including standard reports not from Integrated medical information system, are initially prepared using the built-in Power Query language and built into a data schema. Further, based on the generated database, algorithms for calculating the necessary indicators in the DAX language are described. The analytical platform uses the provided visual elements to process information for indicators based on filters. Keywords: operational monitoring, operational statistics, operational analytics, trauma hospital.