Medical decision support system in transplantology for selecting donor organ transplantation recipients

The purpose of the research is to develop a system to support medical decision-making in the selection of organ transplant recipients, which makes it possible to automate the implementation of a virtual cross-sample and assess tissue compatibility based on already known laboratory data, thus reducing the cognitive and emotional burden on doctors and reducing the likelihood of errors. Methods . In developing the described medical decision support system, methods of system analysis, methods of designing software for information systems, LibreOffice Base database management systems, Python, SQL, Basic programming languages were used. Results . In the course of the study, a system to medical medical decision support system in transplantology was designed and developed, automating the process of selecting recipients for donor transplantation taking into account various compatibility factors, and preparing reports in the required format. The core of the system is a database containing information about recipients and donors. The system not only automatically determines the compatibility parameters of recipients and donors, but also ranks them by the degree of compatibility. The described system has been implemented in the activities of the Immunotyping Department of the Regional State Budgetary Healthcare Institution "Regional Clinical Hospital", Krasnoyarsk. The results of the pilot operation showed that the system meets all functional requirements. Automation of routine operations allowed doctors to reduce the time for decision-making and reduce the likelihood of errors. Conclusion . A medical decision support system in transplantology when selecting recipients for donor organ transplantation has been developed. This system automates the process of ranking recipients by the degree of compatibility with the donor organ and other factors, preparing various reports, which reduces the cognitive load on the doctor and reduces the likelihood of errors in the selection of recipients, and generally reduces the volume of routine work.