DOI QR코드

DOI QR Code

Technology of Decision-Making Support Regarding the Possibility of Donation and Transplantation Considering Civil Law

  • Hnatchuk, Yelyzaveta (Department of Computer Engineering & Information Systems, Khmelnytskyi National University) ;
  • Hovorushchenko, Tetiana (Department of Computer Engineering & Information Systems, Khmelnytskyi National University) ;
  • Drapak, Georgii (Department of Machines & Devices, Electromechanical & Energy Systems, Khmelnytskyi National University) ;
  • Kysil, Tetiana (Department of Computer Engineering & Information Systems, Khmelnytskyi National University)
  • Received : 2022.09.05
  • Published : 2022.09.30

Abstract

The review of known decision-making support systems and technologies regarding the possibility of donation and transplantation showed that currently there are no systems and technologies of decision-making support regarding the possibility of donation and transplantation considering civil law. The paper models the decision-making support process regarding the possibility of donation and transplantation, which is a theoretical basis for the development of rules, methods and technology of decision-making support regarding the possibility of donation and transplantation considering civil law. The paper also developed the technology of decision-making support regarding the possibility of donation and transplantation considering civil law as a component of the Unified State Information System for Organ and Tissue Transplantation, which automatically and free of charge determines the possibility/impossibility of donation and transplantation. In the case of the possibility of donation, the admissible type of donation is also determined - over-life or after-life donation - and data about potential donor is entered in the relevant Donor Register. In the case of the possibility of transplantation, if the recipient needs a transplant of one of the paired organs or a part of the organ/tissue, then data about potential recipient are entered in the Transplantation List from both over-life and after-life donor, otherwise, if the recipient needs a transplant of a non-paired organ or both paired organs, then data about potential recipient are entered only in the Transplantation List from after-life donor.

Keywords

References

  1. Hovorushchenko, T., Herts, A., Hnatchuk, Ye., Sachenko, O.: Supporting the decision-making about the possibility of donation and transplantation based on civil law grounds. Advances in Intelligent Systems and Computing 1246, 357-376 (2021). https://doi.org/10.1007/978-3-030-54215-3_23
  2. Law of Ukraine "On The Application of Transplantation of Anatomical Materials to Humans". URL: https://zakon.rada.gov.ua/laws/show/2427-19.
  3. The new law on organ transplantation: 5 incredible changes in the system. URL: https://www.pravoconsult.com.ua/novij-zakon-protransplantatsiyu-organiv-5-nejmovirnih-zmin-v-sistemi/.
  4. Niyigena, C., Seol, S., Lenskiy, A.: Survey on Organ Allocation Algorithms and Blockchain-based Systems for Organ Donation and Transplantation. In: International Conference on Information and Communication Technology Convergence, pp. 173-178 (2020).
  5. Varghese, J., Suenninghausen, S., Dugas, M.: Standardized Quality Assurance Forms for Organ Transplantations with Multilingual Support, Open Access and UMLS Coding. Studies in Health Technology and Infromatics 212, 15-22 (2015).
  6. King, C., Perkins, J., Johnson, C., Blosser, C., Leca, N., Sibulesky, L.: Utilization of Standard Criteria Donor and Expanded Criteria Donor Kidneys After Kidney Allocation System Implementation. Annals of Transplantation 23, 691-703 (2018). https://doi.org/10.12659/aot.910504
  7. Yang, J., Jeong, J., Lee, J., Kim, Y., Paik, H., Kim, J, Park, H., Kim, M.: Design and Methods of the Korean Organ Transplantation Registry. Transplantation Direct 3 (8), article number e191 (2017).
  8. Eguchi, S., Soyama, A., Nagai, K., Miyazaki, Y., Kurihara, S., Hidaka, M., Ono, S., Adachi, T., Natsuda, K., Hara, T.: The donor advocacy team: a risk management program for living organ, tissue, and cell transplant donors. Surgery Today 47 (8), 980-985 (2017). https://doi.org/10.1007/s00595-017-1468-z
  9. Tenorio, S., Daza, L., Estrada, S.: Electronic Tool for Distribution and Allocation of Heart on Donation and Transplantation in Mexico. Transplantation Proceedings 48 (2), 564-567 (2016). https://doi.org/10.1016/j.transproceed.2016.03.018
  10. Shaw, B., Chapman, J., Fechter, M., Foeken, L., Greinix, H., Hwan, W., Philips-Johnson, L., Korhonen, M., Lindberg, B., Navarro, W.: Towards a global system of vigilance and surveillance in unrelated donors of haematopoietic progenitor cells for transplantation. Bone Marrow Transplantation 48 (12), 1506-1509 (2013). https://doi.org/10.1038/bmt.2013.104
  11. Matesanz, R., Mahillo, B., Alvarez, M., Carmona, M.: Global Observatory and Database on Donation and Transplantation: World Overview on Transplantation Activities. Transplantation Proceedings 41 (6), 2297-2301 (2009). https://doi.org/10.1016/j.transproceed.2009.05.004
  12. Strang, W., Tuppin, P., Atinault, A., Jacquelinet, C.: The French Organ Transplant Data System. Connecting Medical Informatics and Bio-Informatics 116, 77-82 (2015).
  13. Hovorushchenko, T., Herts, A., Hnatchuk, Ye.: Concept of Intelligent Decision Support System in the Legal Regulation of the Surrogate Motherhood. CEUR-WS 2488, 57-68 (2019).
  14. Hawashin, D., Jayaraman, R., Salah, K., Yaqoob, I., Simsekler, M., Ellahham, S.: Blockchain-Based Management for Organ Donation and Transplantation. IEEE Access 10, 59013-59025 (2022). https://doi.org/10.1109/ACCESS.2022.3180008
  15. Huang, J., Millis, J., Mao, Y., Millis, M., Sang, X., Zhong, S.: Voluntary Organ Donation System Adapted to Chinese Cultural Values and Social Reality. Liver Transplantation 21 (4), 419-422 (2015). https://doi.org/10.1002/lt.24069
  16. Richards, D., Chan, N., Caldwell, P.: A review of the use of information communication technology to aid decision-making for live kidney donors and recipients. Health and Technology 5 (3-4), 167-178 (2015). https://doi.org/10.1007/s12553-015-0118-y
  17. Karademirci, O., Terzioglu, A., Yilmaz, S., Tombus, O.: Implementation of a User-Friendly, Flexible Expert System for Selecting Optimal Set of Kidney Exchange Combinations of Patients in a Transplantation Center. Transplantation Proceedings 47 (5), 1262-1264 (2015). https://doi.org/10.1016/j.transproceed.2015.04.051
  18. Okahara, S., Snell, G., Levvey, B., McDonald, M., D'Costa, R., Opdam, H., Pilcher, D.: A prediction model to determine the untapped lung donor pool outside of the DonateLife network in Victoria. Anaesthesia and Intensive Care, article number 0310057X211070011 (2022).
  19. Kosieradzki, M., Lisik, W., Gierwialo, R., Sitnik, R.: Applicability of Augmented Reality in an Organ Transplantation. Annals of Transplantation 25, article number e923597 (2020).
  20. Ding, C., Tai, Q., Han, F., Li, Y., Tian, X., Tian, P., Ding, X., Pan, X., Zheng, J., Xiang, H., Xue, W.: Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death. Chinese Medical Journal 130 (20), 2429-2434 (2017). https://doi.org/10.4103/0366-6999.216409
  21. Locke, J., Reed, R., Shewchuk, R., Stegner, K., Qu, H.: Cognitive mapping as an approach to facilitate organ donation among African Americans. Science Progress 104 (3), article number 00368504211029442 (2021).
  22. Gordon, E., Mullee, J., Butt, Z., Kang, J., Baker, T.: Optimizing informed consent in living liver donors: Evaluation of a comprehension assessment tool. Liver Transplantation 21 (10), 1270-1279 (2015). https://doi.org/10.1002/lt.24175
  23. Danek, T., Czerwinski, J., Brutkiewicz, A., Kaminski, A.: Hospital Profiling and Hospital Stratification System as a Step for Assessment the Potential of Organ Donation from Deceased Donors. Transplantation Proceedings 50 (7), 1975-1978 (2018). https://doi.org/10.1016/j.transproceed.2018.03.124
  24. Gonzalez, F., Vera, F., Gonzalez, F., Velasquez, J., Kefuri, L.: A novel technological tool for increasing organ donation in Chile. In: IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp. 470-475 (2020).
  25. Schlegel, A., Kalisvaart, M., Scalera, I., Laing, R., Mergental, H., Mirza, D., Perera, T., Isaac, J., Dutkowski, P., Muiesan, P.: The UK DCD Risk Score: A new proposal to define futility in donation-after-circulatory-death liver transplantation. Journal of Hepatology 68 (3), 456-464 (2018). https://doi.org/10.1016/j.jhep.2017.10.034
  26. Hovorushchenko, T., Boyarchuk, A., Pavlova, O.: OntologyBased Intelligent Agent for Semantic Parsing the Software Requirements Specifications. International Journal on Information Technologies and Security 2(11), 59-70 (2019).
  27. Hovorushchenko, T., Pavlova, O., Medzatyi, D.: OntologyBased Intelligent Agent for Determination of Sufficiency of Metric Information in the Software Requirements. Advances in Intelligent Systems and Computing 1020, 447-460 (2020). https://doi.org/10.1007/978-3-030-26474-1_32