persmedРоссийский журнал персонализированной медициныRussian Journal for Personalized Medicine2782-38062782-3814ФОНД АЛМАЗОВА10.18705/2782-3806-2022-2-6-6-15persmed-97Research ArticleИСКУССТВЕННЫЙ ИНТЕЛЛЕКТARTIFICIAL INTELLIGENCEИнформация как важнейший инструмент развития персонализированной медицины. Как научиться ей управлять на благо пациента. Наука о «больших данных»Information as a tool for personalized medicine development. How to rule for patient benefit. Big data scienceШляхтоЕ. В.ShlyakhtoE. V.

Шляхто Евгений Владимирович, д.м.н., профессор, академик РАН, генеральный директор 

Санкт-Петербург

Shlyakhto Evgeny V., MD, PhD, Professor, Academician of RAS, Director General 

Saint Petersburg

КонрадиА. О.KonradiA. O.

Конради Александра Олеговна, д.м.н., профессор, академик РАН, заведующий кафедрой организации, управления и экономики здравоохранения Института медицинского образования, заместитель генерального директора по научной работе 

ул. Аккуратова, д. 2, Санкт-Петербург, Россия, 197341

Konradi Aleksandra O., Doctor of Medical Sciences, Professor, Academician of the Russian Academy of Sciences, Head of the Department of Organization, Management and Economics of Healthcare of the Institute of Medical Education, Deputy Director General on Research 

Akkuratova str., 2, Saint Petersburg, 197341

konradi@almazovcentre.ruКурапеевД. И.KurapeevD. I.

Курапеев Дмитрий Ильич, заместитель генерального директора по информационным технологиям и проектному управлению 

Санкт-Петербург

Kurapeev Dmitry I., Deputy Director General for Information Technology and Project Management 

Saint Petersburg

Федеральное государственное бюджетное учреждение «Национальный медицинский исследовательский центр имени В. А. Алмазова» Министерства здравоохранения Российской ФедерацииРоссияAlmazov National Medical Research CentreRussian Federation20222101202326615Copyright © Шляхто Е.В., Конради А.О., Курапеев Д.И., 20232023Шляхто Е.В., Конради А.О., Курапеев Д.И.Shlyakhto E.V., Konradi A.O., Kurapeev D.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://persmed.elpub.ru/jour/article/view/97

Обзор содержит информацию о современном состоянии применения аналитики больших данных в медицине, включая анализ омиксных данных. Обсуждаются вызовы, особенности больших данных в здравоохранении, причины недостаточно быстрого внедрения аналитики больших данных и алгоритмов искусственного интеллекта, источники данных и перспективы применения в ближайшие годы.

The article summarizes modern approaches of big data analytics implementation in healthcare, including OMIC’s data. The existing challenges for big data in medicine, barriers for implementation, reasons for slow development of practical usage of big data analytics and artificial intelligence in healthcare are discusses as well as perspective for the nearest future.

большие данныеомиксные данныеперсонализированная медицинаэлектронное здоровьеbig datae-healthomicspersonalized medicineReferencesAceto G, Persico V, Pescapé A. The role of Information and Communication Technologies in healthcare: Taxonomies, perspectives, and challenges. J. Netw. Comput. Appl. 2018;107:125–154. DOI: 10.1016/j.jnca.2018.02.008.Aceto G, Persico V, Pescapé A. The role of Information and Communication Technologies in healthcare: Taxonomies, perspectives, and challenges. J. Netw. Comput. Appl. 2018;107:125–154. DOI: 10.1016/j.jnca.2018.02.008.Workgroup for Electronic Data Interchange. Maximizing the potential of genomic information to improve care coordination and health outcomes https://www.wedi.org/docs/publications/a-white-paper-by-thegenomics-workgroup.pdf?sfvrsn=0.Workgroup for Electronic Data Interchange. Maximizing the potential of genomic information to improve care coordination and health outcomes https://www.wedi.org/docs/publications/a-white-paper-by-thegenomics-workgroup.pdf?sfvrsn=0.Fatt QK; Ramadas A. The Usefulness and Challenges of Big Data in Healthcare. J. Healthc. Commun. 2018, 3, 1–4.Fatt QK; Ramadas A. The Usefulness and Challenges of Big Data in Healthcare. J. Healthc. Commun. 2018, 3, 1–4.Aarathi S; Vasundra S. Impact of healthcare predictions with big data analytics and cognitive computing techniques. Int. J. Recent Technol. Eng. 2019, 8, 4757–4762.Aarathi S; Vasundra S. Impact of healthcare predictions with big data analytics and cognitive computing techniques. Int. J. Recent Technol. Eng. 2019, 8, 4757–4762.Lhotska L. Application of industry 4.0 concept to health care. Stud. Health Technol. Inform. 2020, 273, 23–37.Lhotska L. Application of industry 4.0 concept to health care. Stud. Health Technol. Inform. 2020, 273, 23–37.EMC digital universe with research & analysis by IDC Healthcare. http://www.emc.com/analyst-report/digital-universe-healthcare-vertical-report-ar.pdf).EMC digital universe with research & analysis by IDC Healthcare. http://www.emc.com/analyst-report/digital-universe-healthcare-vertical-report-ar.pdf).IDC. Driving data growth in healthcare. https://image.slidesharecdn.com/emckeysuccessfactorsr ioitahealth2015-150829140335-lva1-app6892/95/healthcare-it-transformation-key-success-factors-2-638.jpg?cb=1440858718 )IDC. Driving data growth in healthcare. https://image.slidesharecdn.com/emckeysuccessfactorsr ioitahealth2015-150829140335-lva1-app6892/95/healthcare-it-transformation-key-success-factors-2-638.jpg?cb=1440858718 )Hansen MM, Miron-Shatz T, Lau AYS, Paton C. Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social MediaWorking Group. Yearb. Med. Inform. 2014, 9, 21–26.Hansen MM, Miron-Shatz T, Lau AYS, Paton C. Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social MediaWorking Group. Yearb. Med. Inform. 2014, 9, 21–26.Thuemmler C, Bai C. Health 4.0: How Virtualization and Big Data Are Revolutionizing Healthcare; Springer International Publishing: Cham, Switzerland, 2017; ISBN 9783319476179.Thuemmler C, Bai C. Health 4.0: How Virtualization and Big Data Are Revolutionizing Healthcare; Springer International Publishing: Cham, Switzerland, 2017; ISBN 9783319476179.Lee I. Big data: Dimensions, evolution, impacts, and challenges. Bus. Horiz. 2017, 60, 293–303.Lee I. Big data: Dimensions, evolution, impacts, and challenges. Bus. Horiz. 2017, 60, 293–303.Chinnaswamy A, Papa A, Dezi L, Mattiacci A. Big data visualisation, geographic information systems and decision making in healthcare management. Manag. Decis. 2019, 57, 1937–1959.Chinnaswamy A, Papa A, Dezi L, Mattiacci A. Big data visualisation, geographic information systems and decision making in healthcare management. Manag. Decis. 2019, 57, 1937–1959.Sumarsono, Anshari M, Almunawar MN. Big Data in Healthcare for Personalization Customization of Healthcare Services. In Proceedings of the 2019 International Conference on Information Management and Technology Jakarta/Bali, Indonesia, 19–20 August 2019; Volume 1, pp. 73–77.Sumarsono, Anshari M, Almunawar MN. Big Data in Healthcare for Personalization Customization of Healthcare Services. In Proceedings of the 2019 International Conference on Information Management and Technology Jakarta/Bali, Indonesia, 19–20 August 2019; Volume 1, pp. 73–77.Chen HC, Chiang RH. Business intelligence and analytics: From big data to big impact. MIS Q. 2012, 36, 1165–1188.Chen HC, Chiang RH. Business intelligence and analytics: From big data to big impact. MIS Q. 2012, 36, 1165–1188.Tran TQB, du Toit C, Padmanabhan S. Artificial intelligence in healthcare-the road to precision medicine. J. Hosp. Manag. Health Policy 2021, 5, 29.Tran TQB, du Toit C, Padmanabhan S. Artificial intelligence in healthcare-the road to precision medicine. J. Hosp. Manag. Health Policy 2021, 5, 29.Weaver CA, Ball MJ, Kim GR, Kiel JM. Healthcare information management systems: Cases, strategies, and solutions: Fourth edition. In Healthcare Information Management Systems: Cases, Strategies, and Solutions, 4th ed.; Springer International Publishing: Cham, Switzerland, 2016; pp. 1–600. ISBN 9783319207650.Weaver CA, Ball MJ, Kim GR, Kiel JM. Healthcare information management systems: Cases, strategies, and solutions: Fourth edition. In Healthcare Information Management Systems: Cases, Strategies, and Solutions, 4th ed.; Springer International Publishing: Cham, Switzerland, 2016; pp. 1–600. ISBN 9783319207650.Firouzi F, Rahmani AM, Mankodiya K, Badaroglu M, Merrett GV, Wong P, Farahani B. Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics. Future Gener. Comput. Syst. 2018, 78, 583–586.Firouzi F, Rahmani AM, Mankodiya K, Badaroglu M, Merrett GV, Wong P, Farahani B. Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics. Future Gener. Comput. Syst. 2018, 78, 583–586.Agrawal D, Madaan J. A structural equation model for big data adoption in the healthcare supply chain. Int. J. Product. Perform. Manag. 2021.Agrawal D, Madaan J. A structural equation model for big data adoption in the healthcare supply chain. Int. J. Product. Perform. Manag. 2021.Macpherson A, Holt R. Knowledge, learning and small firm growth: A systematic review of the evidence. Res. Policy 2007, 36, 172–192.Macpherson A, Holt R. Knowledge, learning and small firm growth: A systematic review of the evidence. Res. Policy 2007, 36, 172–192.Choi TM. Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era. Transp. Res. Part E Logist. Transp. Rev. 2018, 114, 386–397.Choi TM. Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era. Transp. Res. Part E Logist. Transp. Rev. 2018, 114, 386–397.Kharbouch A, Naitmalek Y, Elkhoukhi H, Bakhouya M, De Florio V, El Ouadghiri MD, Latre S, Blondia C. IoT and big data technologies for monitoring and processing real-time healthcare data. Int. J. Distrib. Syst. Technol. 2019, 10, 17–30.Kharbouch A, Naitmalek Y, Elkhoukhi H, Bakhouya M, De Florio V, El Ouadghiri MD, Latre S, Blondia C. IoT and big data technologies for monitoring and processing real-time healthcare data. Int. J. Distrib. Syst. Technol. 2019, 10, 17–30.Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A. Making sense of big data in health research: Towards an EU action plan. Genome Med. 2016, 8, 1–13.Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A. Making sense of big data in health research: Towards an EU action plan. Genome Med. 2016, 8, 1–13.Normandeau K. Beyond Volume, Variety and Velocity is the Issue of Big Data Veracity. Inside Big Data 2013. Available online: https://insidebigdata.com/2013/09/12/beyond-volume-variety-velocityissue-big-data-veracity/ (accessed on 18 January 2022).Normandeau K. Beyond Volume, Variety and Velocity is the Issue of Big Data Veracity. Inside Big Data 2013. Available online: https://insidebigdata.com/2013/09/12/beyond-volume-variety-velocityissue-big-data-veracity/ (accessed on 18 January 2022).Gandomi A, Haider M. Beyond the hype: Big data concepts, methods, and analytics. Int. J. Inf. Manag. 2015, 35, 137–144.Gandomi A, Haider M. Beyond the hype: Big data concepts, methods, and analytics. Int. J. Inf. Manag. 2015, 35, 137–144.Diebold FX, Cheng X, Diebold S, Foster D, Halperin M, Lohr S, Mashey J, Nickolas T, Pai M, Pospiech M. A Personal Perspective on the Origin (s) and Development of “Big Data”: The Phenomenon, the Term, and the Discipline*.Diebold FX, Cheng X, Diebold S, Foster D, Halperin M, Lohr S, Mashey J, Nickolas T, Pai M, Pospiech M. A Personal Perspective on the Origin (s) and Development of “Big Data”: The Phenomenon, the Term, and the Discipline*.Dash S, Shakyawar SK, Sharma M, Kaushik, S. Big data in healthcare: Management, analysis and future prospects. J. Big Data 2019, 6, 54.Dash S, Shakyawar SK, Sharma M, Kaushik, S. Big data in healthcare: Management, analysis and future prospects. J. Big Data 2019, 6, 54.Wang Y, Hajli N. Exploring the path to big data analytics success in healthcare. J. Bus. Res. 2017, 70, 287–299.Wang Y, Hajli N. Exploring the path to big data analytics success in healthcare. J. Bus. Res. 2017, 70, 287–299.Yin Y, Zeng Y, Chen X, Fan Y. The internet of things in healthcare: An overview. J. Ind. Inf. Integr. 2016, 1, 3–13.Yin Y, Zeng Y, Chen X, Fan Y. The internet of things in healthcare: An overview. J. Ind. Inf. Integr. 2016, 1, 3–13.Oliver N, Arnesh T, Tak I. Smart hospital services: Health 4.0 and opportunity for developing economies. In Proceedings of the Towards the DigitalWorld and Industry X.0—Proceedings of the 29th International Conference of the International Association for Management of Technology, IAMOT 2020, Cairo, Egypt, 13–17 September 2020; pp. 345–361.Oliver N, Arnesh T, Tak I. Smart hospital services: Health 4.0 and opportunity for developing economies. In Proceedings of the Towards the DigitalWorld and Industry X.0—Proceedings of the 29th International Conference of the International Association for Management of Technology, IAMOT 2020, Cairo, Egypt, 13–17 September 2020; pp. 345–361.Wang Y, Kung LA, Byrd TA. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Chang. 2018, 126, 3–13.Wang Y, Kung LA, Byrd TA. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Chang. 2018, 126, 3–13.Nalluri S, Sasikala R. An insight into application of big data analytics in healthcare. Int. J. Data Min. Model. Manag. 2020, 12, 87–117.Nalluri S, Sasikala R. An insight into application of big data analytics in healthcare. Int. J. Data Min. Model. Manag. 2020, 12, 87–117.Singh K, Jahnke I, Mosa A, Calyam P. The Winding Road of Requesting Healthcare Data for Analytics Purposes: Using the One-Interview Mental Model Method for Improving Services of Health Data Governance and Big Data Request Processes. J. Bus. Anal. 2021, 1–18.Singh K, Jahnke I, Mosa A, Calyam P. The Winding Road of Requesting Healthcare Data for Analytics Purposes: Using the One-Interview Mental Model Method for Improving Services of Health Data Governance and Big Data Request Processes. J. Bus. Anal. 2021, 1–18.Singh RK, Agrawal S, Sahu A, Kazancoglu Y. Strategic issues of big data analytics applications for managing health-care sector: A systematic literature review and future research agenda. TQM J. 2021.Singh RK, Agrawal S, Sahu A, Kazancoglu Y. Strategic issues of big data analytics applications for managing health-care sector: A systematic literature review and future research agenda. TQM J. 2021.Hassan M, Awan FM, Naz A, et al. Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review. Int. J. Mol. Sci. 2022, 23, 4645. https://doi.org/10.3390/ijms23094645Hassan M, Awan FM, Naz A, et al. Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review. Int. J. Mol. Sci. 2022, 23, 4645. https://doi.org/10.3390/ijms23094645Cirillo D, Valencia A. Big data analytics for personalized medicine. Curr. Opin. Biotechnol. 2019, 58, 161–167.Cirillo D, Valencia A. Big data analytics for personalized medicine. Curr. Opin. Biotechnol. 2019, 58, 161–167.Lee J. Industrial AI: Applications with Sustainable Performance; Springer: Berlin/Heidelberg, Germany, 2020.Lee J. Industrial AI: Applications with Sustainable Performance; Springer: Berlin/Heidelberg, Germany, 2020.Martínez-Rojas M, del Carmen Pardo-Ferreira M, Rubio-Romero JC. Twitter as a tool for the management and analysis of emergency situations: A systematic literature review. Int. J. Inf. Manag. 2018, 43, 196–208.Martínez-Rojas M, del Carmen Pardo-Ferreira M, Rubio-Romero JC. Twitter as a tool for the management and analysis of emergency situations: A systematic literature review. Int. J. Inf. Manag. 2018, 43, 196–208.Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G. Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Aff. 2014, 33, 1123–1131.Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G. Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Aff. 2014, 33, 1123–1131.Zolbanin HM, Delen D, Sharma SK. The strategic value of big data analytics in health care policy-making. Int. J. E-Bus. Res. 2018, 14, 20–33.Zolbanin HM, Delen D, Sharma SK. The strategic value of big data analytics in health care policy-making. Int. J. E-Bus. Res. 2018, 14, 20–33.Feldman B, Martin E, Skotnes T. Big data in healthcare: Hype and hope. Dr. Bonnie 360 degree (Business Development for Digital Health). 2012. Available online: http://www.riss.kr/link?id=A99883549 (accessed on 12 February 2022).Feldman B, Martin E, Skotnes T. Big data in healthcare: Hype and hope. Dr. Bonnie 360 degree (Business Development for Digital Health). 2012. Available online: http://www.riss.kr/link?id=A99883549 (accessed on 12 February 2022).Basile LJ, Carbonara N, Pellegrino R, Panniello U. Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making. Technovation 2022, 102482.Basile LJ, Carbonara N, Pellegrino R, Panniello U. Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making. Technovation 2022, 102482.Patel S, Patel A. A Big Data Revolution in Health Care Sector: Opportunities, Challenges and Technological Advancements. Int. J. Inf. Sci. Tech. 2016, 6, 155–162.Patel S, Patel A. A Big Data Revolution in Health Care Sector: Opportunities, Challenges and Technological Advancements. Int. J. Inf. Sci. Tech. 2016, 6, 155–162.Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA-J. Am. Med. Assoc. 2013, 309, 1351–1352.Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA-J. Am. Med. Assoc. 2013, 309, 1351–1352.Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: Promise and challenges. Nat. Rev. Cardiol. 2016, 13, 350–359.Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: Promise and challenges. Nat. Rev. Cardiol. 2016, 13, 350–359.Senthilkumar SA, Rai BK, Meshram AA, Gunasekaran A, Chandrakumarmangalam S. Big Data in Healthcare Management: A Review of Literature. Am. J. Theor. Appl. Bus. 2018, 4, 57–69.Senthilkumar SA, Rai BK, Meshram AA, Gunasekaran A, Chandrakumarmangalam S. Big Data in Healthcare Management: A Review of Literature. Am. J. Theor. Appl. Bus. 2018, 4, 57–69.Weng C, Kahn MG. Clinical Research Informatics for Big Data and Precision Medicine. Yearb. Med. Inform. 2016, 25, 211–218.Weng C, Kahn MG. Clinical Research Informatics for Big Data and Precision Medicine. Yearb. Med. Inform. 2016, 25, 211–218.Tariq MA, Hoyle DC. Translating the Machine: Skills that Human Clinicians Must Develop in the Era of Artificial Intelligence. Ophthalmol. Ther. 2022, 11, 69–80.Tariq MA, Hoyle DC. Translating the Machine: Skills that Human Clinicians Must Develop in the Era of Artificial Intelligence. Ophthalmol. Ther. 2022, 11, 69–80.De Mauro A, Greco M, Grimaldi M, Ritala P. Human resources for Big Data professions: A systematic classification of job roles and required skill sets. Inf. Process. Manag. 2018, 54, 807–817.De Mauro A, Greco M, Grimaldi M, Ritala P. Human resources for Big Data professions: A systematic classification of job roles and required skill sets. Inf. Process. Manag. 2018, 54, 807–817.

The authors declare that there are no conflicts of interest present.