Методологія і практика конвергенції міждисциплінарних знань у сфері цифрової охорони здоров’я
DOI:
https://doi.org/10.15407/intechsys.2025.03.076Ключові слова:
наукова картина світу, трансдисциплінарність, міждисциплінарність, конвергентні технології, цифрова охорона здоров’я, умовно-емпіричне дослідженняАнотація
У статті обґрунтовано методологічні засади трансдисциплінарного підходу та показано його прикладне значення для цифрової охорони здоров’я. Інтеграція знань медицини, інформатики, інженерії та соціально-поведінкових наук розглядається як передумова створення ефективних дистанційних реабілітаційних сервісів. Окреслено концептуальні межі дисциплінарного, між-, мульти- та трансдисциплінарного підходів і показано, як їхня конвергенція генерує інноваційні рішення. На підтвердження теоретичних висновків виконано умовно-емпіричне дослідження у гібридному хмарному середовищі Hybrid cloud environment for telerehabilitation. Отримані результати свідчать про потенційну клінічну й економічну ефективність трансдисциплінарно-орієнтованих цифрових платформ, особливо для пацієнтів із обмеженим доступом до очної реабілітаційної медицини.
Посилання
Malakhov K.S. Insight into the Digital Health System of Ukraine (eHealth): Trends, Definitions, Standards, and Legislative Revisions. International Journal of Telerehabilitation, 2023, Vol. 15 (2). https://doi.org/10.5195/ijt.2023.6599
Palagin O.V. Information technology tools for controlled evolution. Problems of Control and Informatics, 2021, Vol. 66 (5), 104–123. https://doi.org/10.34229/1028-0979-2021-5-9
Shyrokov V. Evolution as universal natural law (prolegomena to the future general evolution theory). Bionics of Intelligence, 2017, Vol. 88 (1), 3–14. https://doi.org/10.30837/bi.2018.1(90).01
Bostrom N. A History of Transhumanist Thought. Journal of Evolution and Technology, 2005, Vol. 14(1), 1–25. URL: http://jetpress.org/volume14/freitas.html
Piaget J. L’Epistémologie des Relations Interdisciplinaires. In R. Schwarz (Ed.). Wissenschaft als interdisziplinäres Problem, Teil 1. De Gruyter, 1974, 154–172. https://doi.org/10.1515/9783112415504-006
Jantsch E. Technological Planning and Social Futures. Littlehampton Book Services Ltd, 1972. URL: https://archive.org/details/technologicalpla0000jant.
Palagin O.V. Transdisciplinarity Problems and the Role of Informatics. Cybernetics and Systems Analysis, 2013, Vol. 49 (5), 643–651. https://doi.org/10.1007/s10559-013-9551-y
Palagin O.V., Petrenko M.G., Kryvyi S., Boyko M., Malakhov K.S. Ontology-Driven Processing of Transdisciplinary Domain Knowledge. Iowa State University Digital Press, 2023. https://doi.org/10.31274/isudp.2023.140
Palagin O.V., Petrenko M.G. Methodological Foundations for Development, Formation and IT-support of Transdisciplinary Research. Journal of Automation and Information Sciences, 2018, Vol. 50 (10), 1–17. https://doi.org/10.1615/JAutomatInfScien.v50.i10.10
Palagin O.V., Kurgaev O.P., Shevchenko A.I. The Noosphere Paradigm of the Development of Science and Artificial Intelligence. Cybernetics and Systems Analysis, 2017, Vol. 53 (4), 503–511. https://doi.org/10.1007/s10559-017-9952-4
Vernadsky V.I. The biosphere and the noosphere. American Scientist, 1945, Vol. 33 (1), 1–12. URL: https://monoskop.org/images/5/59/Vernadsky_WI_1945_The_Biosphere_and_the_Noosphere.pdf
Palagin O.V., Petrenko M.G., Malakhov K.S. Challenges and Role of Ontology Engineering in Creating the Knowledge Industry: A Research-Related Design Perspective. Cybernetics and Systems Analysis, 2024, Vol. 60 (4), 633–645. https://doi.org/10.1007/s10559-024-00702-6
Malakhov K.S., Petrenko M.G., Cohn E. Developing an ontology-based system for semantic processing of scientific digital libraries. South African Computer Journal, 2023, Vol. 35 (1), 19–36. https://doi.org/10.18489/sacj.v35i1.1219
Palagin O.V., Petrenko M.G., Velychko V.Yu., Malakhov K.S. Development of formal models, algorithms, procedures, engineering and functioning of the software system “Instrumental complex for ontological engineering purpose.” CEUR Workshop Proceedings, 2014, Vol. 1843, 221–232. URL: http://ceur-ws.org/Vol-1843/221-232.pdf
Petrenko M.G., Cohn E., Shchurov O., Malakhov K.S. Ontology-Driven Computer Systems: Elementary Senses in Domain Knowledge Processing. South African Computer Journal, 2023, Vol. 35 (2), 127–144. https://doi.org/10.18489/sacj.v35i2.17445
Palagin O.V., Kaverinskiy V.V., Malakhov K.S., Petrenko M.G. Fundamentals of the Integrated Use of Neural Network and Ontolinguistic Paradigms: A Comprehensive Approach. Cybernetics and Systems Analysis, 2024, Vol. 60 (1), 111–123. https://doi.org/10.1007/s10559-024-00652-z
Ramesh S. Will LLMs make Structured Healthcare Data Obsolete? (18 Oct. 2023). URL: https://www.youtube.com/watch?v=KCKYdR7Otq4
Palagin O.V. An Ontological Conception of Informatization of Scientific Investigations. Cybernetics and Systems Analysis, 2016, Vol. 52 (1), 1–7. https://doi.org/10.1007/s10559-016-9793-6
Kurgaev O.P., Palagin O.V. Rehabilitation According to the Biological Feedback. 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021, 1170–1175. https://doi.org/10.1109/IDAACS53288.2021.9660953
Roco M.C. NBIC. In Bainbridge W.S., Roco M.C. (Eds.), Handbook of Science and Technology Convergence, 209–226. Springer International Publishing. https://doi.org/10.1007/978-3-319-07052-0_16
Malakhov K.S. Innovative Hybrid Cloud Solutions For Physical Medicine and Telerehabilitation Research. International Journal of Telerehabilitation, 2024, Vol. 16 (1), Article 1. https://doi.org/10.5195/ijt.2024.6635
Nasr A., Laschowski B., McPhee J. Myoelectric Control of Robotic Leg Prostheses and Exoskeletons: A Review. 45th Mechanisms and Robotics Conference (MR), 2021, Vol. 8A, V08AT08A043. https://doi.org/10.1115/DETC2021-69203
Sanchez A., Rossos T., Mihailidis A., Laschowski B. Preliminary Development of a Robotic Hip-Knee Exoskeleton With 3D-Printed Backdrivable Actuators. 47th Mechanisms and Robotics Conference (MR),2023, Vol. 8, V008T08A072. https://doi.org/10.1115/DETC2023-116406
Kaverinsky V.V., Malakhov K.S. Natural Language-Driven Dialogue Systems for Support in Physical Medicine and Rehabilitation. South African Computer Journal, 2023, Vol. 35 (2), 119–126. https://doi.org/10.18489/sacj.v35i2.17444
Palagin O.V., Kaverinsky V.V., Petrenko M.G., Malakhov K.S. Digital Health Systems: Ontology-Based Universal Dialog Service for Hybrid E-Rehabilitation Activities Support. IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2023, Vol. 1, 84–89. https://doi.org/10.1109/IDAACS58523.2023.10348639
Palagin O.V., Kaverinskiy V.V., Litvin A., Malakhov K.S. OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT MetaLearning. International Journal of Computing, 2023, Vol. 22 (2), 170–183. https://doi.org/10.47839/ijc.22.2.3086
Conceptual Models for Clinical Data Repository Implementation. 2022. URL: https://www.youtube.com/watch?v=uw0a4HAX7mc
Ramesh S. Generative AI, Structured Data & openEHR. (10 Jun. 2024). URL: https://www.youtube.com/watch?v=XUp99f8C5us
Opanasenko V.M., Fazilov S.K., Mirzaev O.N., Kakharov S.S. ugli. An Ensemble Approach To Face Recognition In Access Control Systems. Journal of Mobile Multimedia, 2024, Vol. 20 (3), 749–768. https://doi.org/10.13052/jmm1550-4646.20310
Opanasenko V.M., Fazilov Sh.Kh., Radjabov S.S., Kakharov Sh.S. Multilevel Face Recognition System. Cybernetics and Systems Analysis, 2024, Vol. 60 (1), 146–151. https://doi.org/10.1007/s10559-024-00655-w
Kurgaev O.P. Extension of the Metalanguage of Normal Forms of Knowledge. Cybernetics and Systems Analysis, 2020, Vol. 56 (6), 1021–1028. https://doi.org/10.1007/s10559-020-00322-w
Kurgaev O.P., Grigoriev S.N. Metalanguage of Normal Forms of Knowledge. Cybernetics and Systems Analysis, 2016, Vol. 52 (6), 839–848. https://doi.org/10.1007/s10559-016-9885-3
Busti C., Gamboni A., Calabrò G., Zampolini M., Zedde M., Caso V., Corea F. Telestroke: Barriers to the Transition. Frontiers in Neurology, 2021, Vol. 12. https://doi.org/10.3389/fneur.2021.689191
Remote Patient Monitoring Playbook. American Medical Association. 2022. URL: https://www.ama-assn.org/system/files/ama-remote-patient-monitoringplaybook.pdf
Telehealth Implementation Playbook. American Medical Association. 2022. URL: https://www.ama-assn.org/system/files/ama-telehealth-playbook.pdf
Stucki G., Zampolini M., Juocevicius A., Negrini S., Christodoulou N. Practice, science and governance in interaction: European effort for the system-wide implementation of the International Classification of Functioning, Disability and Health (ICF) in Physical and Rehabilitation Medicine. European Journal of Physical and Rehabilitation Medicine, 2017, Vol. 53 (2), 299–307. https://doi.org/10.23736/S1973-9087.16.04436-1
Pammi M., Shah P.S., Yang L.K., Hagan J., Aghaeepour N., Neu J. Digital twins, synthetic patient data, and in-silico trials: Can they empower paediatric clinical trials? The Lancet Digital Health, 2025, Vol. 7 (5), 100851. https://doi.org/10.1016/j.landig.2025.01.007
Pathmanathan P., Aycock K., Badal A., Bighamian R., Bodner J., Craven B.A., Niederer S. Credibility assessment of in silico clinical trials for medical devices. PLOS Computational Biology, 2024, Vol. 20 (8), e1012289. https://doi.org/10.1371/journal.pcbi.1012289
Müller A., Kraus S., Arimond R., Kunczik J., Rossaint R., Czaplik M., Follmann A. Telemedicine in civil protection: A controlled simulation study for the analysis of patient care. Digital Health, 2024, Vol. 10, 20552076241272662. https://doi.org/10.1177/20552076241272662
Ringeval M., Etindele Sosso F.A., Cousineau M., Paré G. Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges. Journal of Medical Internet Research, 2025, Vol. 27, e69544. https://doi.org/10.2196/69544
Kurgaev O.P., Palagin O.V., Malakhov K.S., Semykopna T.V. Device for the Rehabilitation of People With Disabilities, 2022, (Patent No. 151356). URL: https://sis.nipo.gov.ua/en/search/detail/1697507/
Calabrò R.S., Mojdehdehbaher S. AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach. AI, 2025, Vol. 6 (3), 62 p. https://doi.org/10.3390/ai6030062
Malahov K.S. Simulation-based study (in-silico trials) on the effectiveness of a transdisciplinary approach to developing personalized telerehabilitation programs. [Dataset]. Zenodo, 2025. https://doi.org/10.5281/zenodo.15785402
Downloads
Опубліковано
Як цитувати
Номер
Розділ
Ліцензія
Авторське право (c) 2025 Information Technologies and Systems (Інформаційні технології та системи)

Ця робота ліцензується відповідно до Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Стаття публікується на умовах відкритого доступу за ліцензією CC BY-NC-ND 4.0 - Із Зазначенням Авторства – Некомерційною – Без Похідних 4.0 Міжнародною.