An approach for modular database architecture design in the intensive care unit

   This article presents the design of a database intended to optimize the storage and processing of medical data, with a focus on decision support in intensive care and resuscitation.

   The aim of the study is to develop a logical database model based on advanced principles and methods used in international open database projects, capable of minimizing human error and enhancing the accuracy of real-time patient prognosis.

   The methodology is founded on a comparative analysis of existing international medical databases, such as MIMIC-IV and eICU. An innovative modular approach was applied in designing the new database, ensuring system flexibility and scalability. The primary outcome is the creation of a logical database model that can be effectively utilized within the Russian healthcare system, including remote and low-resource regions. The logical model was developed taking into account the specifics of medical data, including modules for storing information on hospitalizations, patient condition indicators, laboratory tests, medication prescriptions and other aspects of clinical practice. An important part of the study is the integration of the database with Russian medical information systems and adaptation to national standards and regulatory requirements. The developed architecture of the logical model minimizes the influence of the human factor, automates data analysis and can be used in the development of medical decision support systems. The practical significance lies in improving the quality of medical care and reducing the burden on the staff. The system is applicable in Russian institutions, including remote regions, and contributes to the digitalization of healthcare.