Information Technologies of Digital Adaptive Medicine
Keywords:
digital medicine, digital health, medical informatics, adaptive medicine, preventive medicine, sociocyberphysical systemsAbstract
The article provides a comprehensive description of information technologies of digital adaptive medicine. The emphasis is on the applicability to the development of specialized automated complexes, software models and systems for studying the adaptive capabilities of a person to environmental conditions. Requirements for information technologies to enhance these capabilities are formulated. The features of information technologies are reflected in relation to the implementation of applied systemic studies of life support, preservation of professional health and prolongation of human longevity.
Six basic concepts of adaptive medicine with an emphasis on the features of the mathematical support for information processing are characterized, priorities for improving information technologies used in these concepts are determined.
The information technologies used in the tasks of ensuring the professional performance of a person with an emphasis on the need to use adequate methods for diagnosing the state of a person at all stages of professional activity and the need to develop technologies for digital twins that adequately simulate the adaptation processes and reactions of the body in real conditions are considered.
The characteristics of information technologies for personalized monitoring of health risks are given, which make it possible to objectify the effects of physical factors of the conditions of activity and to implement individual and collective informing of personnel about environmental hazards.
The urgent need to standardize information processing methods in the development of information technologies for digital adaptive medicine in the interests of ensuring physiological adequacy and mathematical correctness of approaches to obtaining and processing information about a person's state is shown.
It is concluded that the priorities for improving information technologies of digital adaptive medicine are associated with the implementation of the achievements of the fourth industrial revolution, including the concept of sociocyberphysical systems.
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15. Engelhard M.M., Oliver J.A., McClernon F.J. Digital envirotyping: quantifying environmental determinants of health and behavior. Digital Medicine. 2020, vol. 12, no. 3, p. 36. Doi: 10.1038/s41746-020-0245-3.
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20. Zhuravlev Yu.I., Nazarenko G.I., Vinogradov A.P., Dokukin A.A., Katerinochkina N.N., Kleimenova E.B., Konstantinova M.V., Ryazanov V.V., Sen'ko O.V., Cherkashov A.M. Methods for discrete analysis of medical data on the basis of recognition theory and some of their applications. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2016, vol. 26, no. 3, pp. 643-664.
21. Howarth A., Quesada J., Silva J., Judycki S., Mills P.R. The impact of digital health interventions on health-related outcomes in the workplace: A systematic review. Digit Health. 2018, no. 4, 2055207618770861. Doi: 10.1177/2055207618770861.
22. Kobrinskii B.A., Grigoriev O.G., Molodchenkov A.I., Smirnov I.V., Blagosklonov N.A. Artificial intelligence technologies application for personal health management. IFAC-PapersOnLine. 19th IFAC Conference on Technology, Culture and International Stability, TECIS 2019, pp. 70-74.
23. Kobrinskii B.A. [Artificial intelligence systems in medical practice: state and prospects]. Vestnik Roszdravnadzora. [Roszdravnadzor Bulletin]. 2020, no. 3, pp. 37-43. (In Russ.).
24. Istomina T.V. [Current state and prospects of using infocommunication technologies in Russian medicine]. Meditsinskaya tekhnika. [Medical equipment]. 2021, no. 1, pp. 30-33. (In Russ.).
25. Galtsova O.M., Pronkin N.N. [Modern information technologies for the healthcare of the future]. International Journal of Professional Science. 2020, no. 1, pp. 39-44. (In Russ.).
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Published
2021-10-01
How to Cite
Bogomolov, A. (2021). Information Technologies of Digital Adaptive Medicine. Informatics and Automation, 20(5), 1155-1182. https://doi.org/10.15622/20.5.6
Section
Artificial Intelligence, Knowledge and Data Engineering
Copyright (c) Алексей Валерьевич Богомолов
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