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.

1. Gauthier S.V., Khomyakov S.M. Organ donation and transplantation in the Russian Federation in 2023. XVI message of the register of the Russian Transplantation Society. Vestnik transplantologii i iskusstvennyh organov = Bulletin of Transplantology and Artificial Organs. 2024;26(3):8‒31. (In Russ.) https://doi.org/10.15825/1995-1191-2024-3-8-31

2. Siluyanova Yu.A. Combating child trafficking in Russia: searching for a solution to the problem. Gosudarstvennoe upravlenie. Elektronnyj vestnik = Public Administration. Electronic Bulletin. 2020;(81):272‒296. (In Russ.)

3. Minina M.G., Voronov D.V., Tenchurina E.A. Evolution of liver donation in Moscow. Vestnik transplantologii i iskusstvennyh organov = Bulletin of Transplantology and Artificial Organs. 2022;24(3):102‒110. (In Russ.) https://doi.org/10.15825/1995-1191-2022-3-102-110

4. Utkina E.V., Fomina N.V., Gruzdev D.O., Kisileva A.N., Chesnokova L.D. Clinical case of successful kidney allotransplantation in a patient with non-secretory multiple myeloma with concomitant renal damage. Sibirskoe medicinskoe obozrenie = Siberian Medical Review. 2024;(6):102‒107. (In Russ.)

5. Fedotov P.A., Simonenko M.A., Sazonova Yu.V., Bortsova M.A., Kostomarov A.N., Fedorova M.A., Bautin A.E., Nikolaev G.V., Gordeev M.L., Karpenko M.A., Pervunina T.M., Sitnikova M.Yu. Risk factors for death in patients on the waiting list for heart transplantation. Yuzhno-Rossijskij zhurnal terapevticheskoj praktiki = South Russian Journal of Therapeutic Practice. 2022;3(2):41‒54. (In Russ.) https://doi.org/10.21886/2712-8156-2022-3-2-41-54

6. Pugachev P.S., Gusev A.V., Kobyakova O.S., Kadyrov F.N., Gavrilov D.V., Novitsky R.E., Vladzimirsky A.V. World Trends in Digital Transformation of the Healthcare Industry. Nacional'noe zdravoohranenie = National Healthcare. 2021;2(2):5‒12. (In Russ.) https://doi.org/10.47093/2713-069X.2021.2.2.5-12

7. Borodulina E.A., Gribova V.V., Okun D.B., Eremenko E.P., Borodulin B.E., Kovalev R.I., Vdoushkina E.S., Amosova E.A. Generation of a knowledge base for creating a system for supporting medical decision-making for managing the treatment process. Sibirskij zhurnal klinicheskoj i eksperimental'noj mediciny = Siberian Journal of Clinical and Experimental Medicine. 2024;39(2):209‒217. (In Russ.) https://doi.org/10.29001/2073-8552-2024-39-2-209-217

8. Serobabov A.S., Denisova L.A., Serobabova A.L. Development of a system to support medical decision-making when prescribing treatment to a patient. Izvestiya Tul'skogo gosudarstvennogo universiteta. Tekhnicheskie nauki = Proceedings of Tula State University. Technical Sciences. 2023;(9):321‒325. (In Russ.)

9. Beskrovny A.S., Bessonov L.V., Golyadkina A.A., Dol A.V., Ivanov D.V., Kirillova I.V., Kossovich L.Yu., Sidorenko D.A. Development of a system for supporting medical decision-making in traumatology and orthopedics. Biomechanics as a tool for preoperative planning. Rossijskij zhurnal biomekhaniki = Russian Journal of Biomechanics. 2021;25(2):118‒ 133. (In Russ.)

10. Frolov S.V., Korobov A.A., Vetrov A.N. System for supporting medical decisionmaking in cardiology based on a digital twin of the cardiovascular system. Modeling, optimization and Information Technology = Modeling, Optimization and Information Technology. 2023;11(1):3‒4. (In Russ.) https://doi.org/10.26102/2310-6018/2023.40.1.007

11. Sushkov A.I., Popov M.V., Rudakov V.S., Svetlakova D.S., Pashkov A.N., Lukyanchikova A.S., Muktarzhan M., Gubarev K.K., Syutkin V.E., Artemyev A.I., Voskanyan S.E. Comparative analysis of models predicting the risks of early adverse outcome of liver transplantation from a deceased donor: a retrospective single-center study. Transplantologiya = Transplantology. 2023;15(3):312‒333. (In Russ.) https://doi.org/10.23873/2074-0506-2023-15-3-312-333

12. Markevich D.V., Khomenko A.D., Ermakov S.G. Ot From FOXPRO to POSTGRESQL: optimization, efficient data management, and report generation. Naukoemkie tekhnologii v kosmicheskih issledovaniyah Zemli = Science-Intensive Technologies in Space Research of the Earth. 2024;16(1):21‒30. (In Russ.) https://doi.org/10.36724/2409-5419-2024-16-1-21-30

13. Orlova I.V. Using free software for econometric modeling. Fundamental'nye issledovaniya = Fundamental Research. 2023;(1):81‒89. (In Russ.) https://doi.org/10.17513/fr.43424

14. Batalin R.Yu. Problems of Adaptation of Information Systems and Software to Astra Linux OS. Izvestiya Tul'skogo gosudarstvennogo universiteta. Tekhnicheskie nauki = Bulletin of Tula State University. Technical Sciences. 2024;7:140‒142. (In Russ.)

15. Baidarov D.Yu., Abakumov E.M., Faikov D.Yu. "Heavy" class software: import substitution possibilities. Voprosy innovacionnoj ekonomiki = Issues of Innovative Economics. 2022;12(1):295‒316. (In Russ.) https://doi.org/10.18334/vinec.12.1.114143

16. Khan W., Kumar T., Zhang Ch., Raj K., Roy А.М., Luo B. SQL and NoSQL Database Software Architecture Performance Analysis and Assessments ‒ A Systematic Literature Review. Big Data and Cognitive Computing. 2023;7(2):97. https://doi.org/10.3390/bdcc7020097

17. Antoshkin V.A., Shcherbakova V.I. Using JavaScript API to manage NoSQL database "IndexedDB". Informatika i prikladnaya matematika = Computer Science and Applied Mathematics. 2021;(27):26‒32. (In Russ.)

18. Saltanaeva E.A., Eshelioglu R.I., Nabiullina E.A. Prospects for the development of the use of the python programming language in optimizing information processing processes. Nauchno-tekhnicheskij vestnik Povolzh'ya = Scientific and Technical Bulletin of the Volga Region. 2023;(10):163‒165. (In Russ.)

19. Omarova F.A., Drokov M.Yu., Khamaganova E.G. Major histocompatibility complex: history of discovery, evolution, structure, significance in transplantation of allogeneic hematopoietic stem cells. Transplantologiya = Transplantology. 2023;15(2):251‒265. (In Russ.) https://doi.org/10.23873/2074-0506-2023-15-2-251-265

20. Leushina E.A., Amaeva H.R. Transplantation in the treatment of chronic kidney disease. Vestnik transplantologii i iskusstvennyh organov = Bulletin of Transplantology and Artificial Organs. 2023;25(S):128. (In Russ.)

21. Turganbekova A.A., Abdrakhmanova S.A., Zhanzakova Zh.Zh., Parkhomenko I.A., Zhangazieva K.Kh., Sausakova S.B. The role of leukocyte antibodies in organ transplantation. Literature review. Vestnik Kazahskogo nacional'nogo medicinskogo universiteta = Bulletin of the Kazakh National Medical University. 2022;(4):203‒214. (In Russ.) https://doi.org/10.53065/x9722-5615-3571-n

22. Syutkin V.E., Salienko A.A., Olisov O.D., Zhuravel S.V., Novruzbekov M.S. The effect of early administration of everolimus against the background of a decrease in the dosage of calcineurin inhibitors on renal function in liver transplant recipients during long-term follow-up. Transplantologiya = Transplantology. 2021;13(2):121‒129. (In Russ.) https://doi.org/10.23873/2074-0506-2021-13-2-121-129

23. Parabina E.V., Fatenkov O.V., Svetlova G.N., Kuvshinova N.Yu. Comparison of the quality of life of patients after kidney transplantation with various immunosuppressive therapy regimens. Lechashchij vrach = Attending Physician. 2025;28(1):26‒31. (In Russ.) https://doi.org/10.51793/OS.2025.28.1.004