DİJİTAL İKİZ TEKNOLOJİSİNİN DEĞERLENDİRİLMESİ

Year 2023, Volume: 5 Issue: 1, 1 - 25, 31.07.2023

Aliye Kübra Ünal , Aynur Toraman

Abstract

Dijital ikiz, fiziksel bir varlığın veri modelini, davranışını ve diğer fiziksel varlıklarla iletişimini yeniden üreten dijital bir temsilidir. Dijital ikizler, temsil ettikleri fiziksel nesne veya süreç için dijital bir kopya görevi görerek, yakın mesafede bulunmadan neredeyse gerçek zamanlı izleme ve değerlendirme sağlar. Somut uygulamalarının çoğu esas olarak endüstriyel bağlamda bulunsa da sağlık hizmetleri, dijital ikizlerin büyük bir etkiye sahip olabileceği başka bir ilgili alanı temsil eder. Bu makalenin amacı dijital ikiz konseptinin tanımı, ilkeleri, rolleri, paydaşları ve tarihçesi hakkında teorik bilgiler vermektir. Ayrıca sağlık hizmetlerinde dijital ikiz uygulamaları hakkında kapsamlı bir çerçeve oluşturmaktır. Dijital ikizlerin sağlık hizmetlerinde uygulanmasına genel bir bakış sağladıktan sonra, özellikle Türkiye’de nispeten araştırmalarda kendine yeni yeni yer bulan bu kavramın vizyonu masaya yatırılmıştır.

Keywords

Dijital İkiz, Sağlık Yönetimi, Sağlığın Geleceği

EVALUATION OF DIGITAL TWIN TECHNOLOGY

Abstract

A digital twin is a digital representation of a physical entity that reproduces the data model, behavior, and communication with other physical entities. Digital twins act as a digital copy for the physical object or process they represent, providing near real-time monitoring and evaluation without being in close proximity. While most of its tangible applications are found mainly in industrial contexts, healthcare represents another relevant area where digital twins can have a major impact. The aim of this article is to give theoretical information about the definition, principles, roles, stakeholders and history of the digital twin concept. It is also to create a comprehensive framework about digital twin applications in healthcare. After providing an overview of the application of digital twins in health services, the vision of this concept, which has recently found a place in research in Turkey, is discussed.

Keywords

Digital Twin, Healthcare Management, Future in Health

References

• Abdel-Basset, M., Manogaran, G., Mohamed, M. and Rushdy, E. (2019). Internet of Things in Smart Education Environment: Supportive Framework in the Decision-making Process. Concurrency Comput., Pract. Exper., 31(10), Art. no. e4515.
• Angulo, C., Ortega, J. A. and Gonzalez-Abril, L. (2019). Towards a Healthcare Digital Twin. J. Sabater-Mir, V. Torra, I. Aguiló and M. González-Hidalgo (Ed.), In Artificial Intelligence Research and Development (pp. 312-315). IOS Press: Amsterdam, The Netherlands.
• Bagaria, N., F. Laamarti, H.F. Badawi, A. Albraikan, R.A. Martinez Velazquez, and A. el Saddik. (2020). Health 4.0: Digital twins for health and well-being’. In Connected Health in Smart Cities, ed. A. El Saddik, M. Hossain, and B. Kantarci. Cham: Springer Nature https://doi.org/10.1007/978-3-030-27844-1_7.
• Barricelli, B. R., Casiraghi, E. and Fogli, D. (2019). A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications. IEEE Access, Vol 7, 167653-167671.
• Björnsson, B., Borrebaeck, C., Elander, N., Gasslander, T., Gawel, D. R., Gustafsson, M., Jörnsten, R.,…Benson, M. (2019). Swedish Digital Twin Consortium. Digital Twins to Personalize Medicine. Genome Med., 12(1), 1-4. Doi: 10.1186/s13073-019-0701-3.
• Björnsson, B., Borrebaeck, C., Elander, N., Gasslander, T., Gawel, D. R., Gustafsson, M., Jörnsten, R., Lee, E. J., Li, X., Lilja, S., Martínez-Enguita, D., Matussek, A., Sandström, P., Schäfer, S., Stenmarker, M., Sun, X. F., Sysoev, O., Zhang, H. and Benson, M. (2020). Digital Twins To Personalize Medicine. Genome Medicine, 12(1), 1-4.
• Boschert, S. and Rosen, R. (2016). Digital Twin-The Simulation Aspect. P. Hehenberger and D. Bradley (Ed.), In Mechatronic Futures (pp. 59-74). Springer: Cham, Switzerland.
• Bousquet, J., Ansotegui, I. J., Anto, J. M., Arnavielhe, S., Bachert, C., Basagaña, X., Bédard, A.,…Zuberbier, T. (2019). Mobile Technology in Allergic Rhinitis: Evolution in Management or Revolution in Health and Care? J. Allergy. Clin. Immunol. Pract., 7(8), 2511-2523. Doi: 10.1016/j.jaip.2019.07.044.
• Bousquet, J., Anto, J. M., Bachert, C., Haahtela, T., Zuberbier, T., Czarlewski, W., Bedbrook, A.,…Zidarn, M. (2021). ARIA Digital Anamorphosis: Digital Transformation of Health and Care in Airway Diseases from Research to Practice. Allergy, 76(1), 168-190. Doi: 10.1111/all.14422.
• Bruynseels, K. (2020). When Nature Goes Digital: Routes For Responsible Innovation. Journal of Responsible Innovation, 7 (3), 342-360. Doi: https://doi.org/10.1080/23299460.2020.1771144.
• Bruynseels, K., de Sio F. S. and Van Den Hoven, J. (2018). Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm. Frontiers Henet., Vol. 9, 1-31.
• Castillo, C. (2016). Big Crisis Data: Social Media in Disasters and Time-critical Situations (1st Edition). Cambridge, UK: Cambridge University Press.
• Cearley, D., Burke, B., Searle, S. and Walker, M. (2017). Top 10 Strategic Technology Trends for 2018. Gartner Inc. Retrieved March 24, 2023 from https://www.gartner.com/en/doc/3811368-top-10-strategic-technology-trends-for-2018.
• Coelho, F., Relva, S. and Barbosa-Povoa, A. (2021). Simulation Based Decision Support Tool for in-house Logistics: The Basis for a Digital Twin. Computers&Industrial Engineering, Vol. 153, 107094, 2-15.
• Corral-Acero, J., Margara, F., Marciniak, M., Rodero, C., Loncaric, F., Feng, Y., Gilbert, A… Lamata, P. (2020). The ‘Digital Twin’ To Enable The Vision Of Precision Cardiology. Eur., Heart J., 41, 4556-4564.
• Croatti, A., Gabellini, M., Montagna, S. and Ricci, A. (2020). On the Integration of Agents and Digital Twins in Healthcare. J. Med. Syst., 44, 161.
• Dennett, D. C. (2013). Intuition Pumps And Other Tools For Thinking. (1st Edition). New York: W. W. Norton & Company.
• Descartes, R. (1980). In Discourse on Method and Meditations on First Philosophy. (1st Edition). Indianapolis: Hackett Pub. Co.
• Donald, D. (1987). Knowing One’s Own Mind. Proceedings and Addresses of the American Philosophical Association, 60, 441-458.
• El Saddik, A. (2018). Digital Twins: The Convergence Of Multimedia Technologies. IEEE Multimedia, 25(2), 87-92. Doi: https://doi.org/10.1109/MMUL.2018.023121167.
• Elayan, H., Aloqaily, M. and Guizani, M. (2021). Digital Twin for Intelligent Context-Aware IoT Healthcare Systems. IEEE Internet Things J., 8, 16749-16757.
• Erol, T., Mendi, A. F. and Dogan, D. (2020). The Digital Twin Revolution in Healthcare. In Proceedings of the 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Istanbul, Turkey, 22–24 October 2020; IEEE: Piscataway, NJ, USA, 1-7.
• Erö, C., Gewaltig, M. O., Keller, D. and Markram, H. A. (2018). Cell Atlas for the Mouse Brain. Front. Neuroinf., 12, 1-84. Fan, C. and Mostafavi, A. (2019). Metanetwork Framework for Performance Analysis of Disaster Management System-of-Systems. IEEE Systems Journal, 1(1), 1-12. Doi: https://doi.org/10.1109/JSYST.2019.2926375.
• Fan, C., Jiang, Y. and Mostafavi, A. (2020). Social Sensing in Disaster City Digital Twin: An Integrated Textual-visual-geo Framework for Situational Awareness During Built Environment Disruptions. Journal of Management in Engineering, 1(1), 1-10.
• Fuller, A., Fan, Z., Day, C. and Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE Access, 8, 108952-108971.
• Gerbert, P., Lorenz, M., Russmann, M., Waldner, M., Justus, J., Engel, P. and Harnisch, M. (2015). Industry 4.0 The future of Productivity and Growth in Manufacturing Industries. Boston, MA, USA: The Boston Consulting Group.
• Goetz, L. H. and Schork, N. J. (2018). Personalized Medicine: Motivation, Challenges, and Progress. Fertility and Sterility, 109(6), 952-963.
• Grieves, M. (2016). Origins of the Digital Twin Concept. Retrieved March 24, 2023 from https://www.researchgate.net/publication/307509727_Origins_of_the_Digital_Twin_Concept
• Grieves, M. and Vickers, J. (2017). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. F. J. Kahlen, S. Flumerfelt and A. Alves (Ed.), In Transdisciplinary Perspectives on Complex Systems (pp. 85-113). Springer.
• Haag, S. and Anderl, R. (2018). Digital Twin E Proof of Concept. Manufacturing Letters, 15, 64-66.
• Hamadache, B., Seridi-Bouchelaghem, H. and Farah, N. (2016). A Significant Core Structure Inside the Social Network Evolutionary Process. Social Network Analysis and Mining, 6(1), 1-38. Doi: https://doi.org/10.1007/s13278-016-0344-y.
• Harris, B. (2020). How ‘Digital Twins’ Are Harnessing Iot To Advance Precision Medicine, Retrieved March 24, 2023 from https://www.healthcareitnews.com/news/how-digital-twins-are-harnessing-iot-advance-precision-medicine.
• James, L. (2021). Digital Twins Will Revolutionise Healthcare: Digital Twin Technology Has The Potential To Transform Healthcare In A Variety Of Ways – Improving The Diagnosis And Treatment Of Patients, Streamlining Preventative Care And Facilitating New Approaches For Hospital Planning. Eng., Technol.,16, 50-53.
• Jarrahi, M. H. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61(4), 577-586.
• Jimenes, J. I., Jahankhani, H. and Kendzierskyj, S. (2020). Health Care In The Cyberspace: Medical Cyber-Physical System And Digital Twin Challenges. M. Farsi et al., (Ed.), In Digital Twin Technologies And Smart Cities, (pp. 79-95). Cham: Springer Nature Doi: https://doi.org/10.1007/978-3-030-18732-3_6.
• Jones, D., Snider, C., Nassehi, A., Yon, J. and Hicks, B. (2020). Characterising the Digital Twin: A Systematic Literature Review. CIRP J. Manuf. Sci. Technol., Vol. 29, 36-52.
• Karagöz Güzin, J. (2018). Sağlıkta Dijital Dönüşüm, Yapay Zekâ (AI) ve Nesnelerin İnterneti (IoT) (1. Baskı). İstanbul: Kutlu Yayınevi.
• Kataria, S. and Vinod, R. (2018). Digital Health: A New Dimension in Rheumatology Patient Care. Rheumatology International, 38(11), 1949-1957.
• Kent, L., Snider, C. and Hicks, B. (2019). “Early Stage Digital-physical Twinning to Engage Citizens with City Planning and Design”, in Proc. IEEE Conf. Virtual Reality 3D User Inter. (VR), Mar. 2019, 1014-1015.
• Kirk, R. (2008). The Inconceivability Of Zombies. Philosophical Studies, 139(1), 73-89. Doi: https://doi.org/10.1007/s11098-007-9103-2.
• Korthals, M. (2008). Ethics Of Personalized Nutrition. F. Kok, L. Bouwman and F. Desiere (Ed.), In Personalized Nutrition: Principles And Applications (pp. 221-233). Boca Raton: CRC Press/Taylor & Francis.
• Koutroumpis, P., Leiponen, A. and Thomas, L. D. W. (2019). Data market strategy [Working Paper] Retrieved March 24, 2023 from https://journals.aom.org/doi/10.5465/amgblproc.surrey.2018.0085.abs.
• Kritzinger, W., Karner, M., Traar, G., Henjes, J. and Sihn, W. (2018). Digital Twin In Manufacturing: A Categorical Literature Review And Classification. IFAC-PapersOnLine, 51(11), 1016-1022. Doi: https://doi.org/10.1016/j.ifacol.2018.08.474.
• Laaki, H., Miche, Y. and Tammi, K. (2019). Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery. IEEE Access, Vol. 7, 20325-20336.
• Laubenbacher, R., Sluka, J. P. and Glazier, J. A. (2021). Using Digital Twins In Viral Infection. Science, 371, 1105-1106.
• Liu, M., Fang, S., Dong, H. and Xu, C. (2021). Review of Digital Twin About Concepts, Technologies, and Industrial Applications. J. Manuf. Syst., 23-58, 346-361.
• Liu, Y., Zhang, L., Yang, Y., Zhou, L., Ren, L., Wang, F., Liu, R., Pang, Z. and Deen, M. J. (2019). A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin. IEEE Access, 7, 49088-49101.
• Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C. and Hung Byers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey & Company. Retrieved March 24, 2023 from https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation.
• Mitrofanova, Y. S., Sherstobitova, A. A. and Filippova, O.A. (2019). Modeling Smart Learning Processes Based on Educational Data Mining Tools. V. L. Uskov, R. J. Howlett and L. C. Jain (Ed.), In Smart Education and e-Learning 2019 (pp. 561-571). Cham, Switzerland: Springer.
• Mohammadi, N. and Taylor, J. E. (2017). Smart City Digital Twins. Proceedings of the IEEE Symposium serving Computer Intelligence (SSCI), 1-5.
• Negri, E., Fumagalli, L. and Macchi, M. (2017). A Review of the Roles of Digital Twin in CPS-based Production Systems. Procedia Manufacturing, 939-948.
• Nguyen, H. X., Trestian, R., To, D. and Tatipamula, M. (2020). Digital Twin for 5G and Beyond. IEEE Communications Magazine, 59 (2), 10-15. Doi: 10.1109/MCOM.001.2000343.
• Nweke, H. F., Teh, Y. W., Mujtaba, G. and Al-garadi, M. A. (2019). Data Fusion and Multiple Classifier Systems for Human Activity Detection and Health Monitoring: Review and Open Research Directions. Information Fusion, 46, 147-170. Doi: https://doi.org/10.1016/j.inffus.2018.06.002.
• Özdemir, V. and Ağırbaşlı, M. (2010). Postgenomik Tıp ve “-OMICS” Teknolojileri, İyi Klinik Uygulamalar. İKU, 24, 28-31.
• Pearson, A. L., Pearce, J. and Kingham, S. (2013). Deprived Yet Healthy: Neighbourhoodlevel Resilience in New Zealand. Social Science & Medicine, 91, 238-245. Doi: https://doi.org/10.1016/j.socscimed.2012.09.046.
• Peng, H., Ma, S. and Spector, J. M. (2019). Personalized Adaptive Learning: An Emerging Pedagogical Approach Enabled by a Smart Learning Environment, Foundations and Trends. L. Daniela (Ed.), In Smart Learning with Educational Robotics (pp. 171-176). Cham, Switzerland: Springer.
• Popa, E.O.; Van Hilten, M.; Oosterkamp, E.; Bogaardt, M.-J. The use of digital twins in healthcare: Socio-ethical benefits and socio-ethical risks. Life Sci. Soc. Policy 2021, 17, 6, 1-25. Doi: https://doi.org/10.1186/s40504-021-00113-x.
• Putnam, H. (1996). The meaning of meaning. A. Pessin and S. Goldberg (Ed.), In The Twin Earth Chronicles: Twenty Years Of Reflection On Hilary Putnam’s “The Meaning Of Meaning” (pp. 22-49). Armonk: M. E. Sharpe. Qi, Q. and Tao, F. (2018). Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360-degree Comparison. IEEE Access, 6, 3585-3593.
• Raden, N. (2020). Digital Twins For Personalized Medicine-A Critical Assessment. Diginomica. Retrieved March 24, 2023 from https://diginomica.com/digitaltwins-personalized-medicine-critical-assessment. Rasheed, A., San, O. and Kvamsdal, T. (2020). Digital Twin: Values, Challenges and Enablers from a Modeling Prespective. IEEE Access, Vol 8, 21980-22012.
• Renaudin, C. P., Barbier, B., Roriz, R., Revel, D. and Amiel, M. (1994). Coronary Arteries: New Design For Three-Dimensional Arterial Phantoms. Radiology, 190(2), 579-582. Doi: https://doi.org/10.1148/radiology.190.2.8284422.
• Scheerder, A., Van Deursen, A. and Van Dijk, J. (2017). Determinants of Internet Skills, Uses and Outcomes. A Systematic Review of the Second-and Third-level Digital Divide. Telemat. Inform., 34, 1607-1624.
• Schwartz, S. M., Wildenhaus, K., Bucher, A. and Byrd, B. (2020). Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data. Front. Computer Sci., 2, 31, 1-16. Doi: https://doi.org/10.3389/fcomp.2020.00031.
• SDTC. (2021). Swedish Digital Twin Consortium “The Concept.” Retrieved March 24, 2023 from https://www.sdtc.se/#concept.
• Sehgal, A., Perelman, V., Kuryla, S. and Schonwalder, J. (2012). Management of Resource Constrained Devices in the Internet of Things. IEEE Communications Magazine, 50(12), 144-149.
• Sepasgozar, S. M. (2021). Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite A Smart, Sustainable Built Environment. Buildings, 11, 148-151.
• Shafto, M., Conroy, M., Doyle, R., Glaessgen, E., Kemp, C., LeMoigne, J. and Wang, L. (2010). Draft Modeling, Simulation, Information Technology&Processing Roadmap. Technology Area 11. National Aeronautics and Space Administration (NASA). Retrieved March 24, 2023 from https://www.researchgate.net/publication/280310295_Modeling_Simulation_Information_Technology_and_Processing_Roadmap.
• Shamanna, P., Saboo, B., Damodharan, S., Mohammed, J., Mohamed, M., Poon, T., Kleinman, N. and Thajudeen, M. (2020). Reducing Hba1c İn Type 2 Diabetes Using Digital Twin Technology-Enabled Precision Nutrition: A Retrospective Analysis. Diabetes Ther., 11, 2703-2714.
• Shugalo, I. (2019). Digital Twin Technology: Should Healthcare Jump on the Bandwagon? Retrieved March 24, 2023 from https://hitconsultant.net/2019/04/29/digital-twin-technology-should-healthcare-jump-on-the-bandwagon/#.Xsy9OGj7RPZ.
• Singh, M., Fuenmayor, E., Hinchy, E. P., Qiao, Y., Murray, N. and Devine, D. (2021). Digital Twin: Origin to Future. Appl. Syst. Innov., Vol. 4, 1-36.
• Sönmez, E. (2018). Kişiselleştirilmiş Tıp, Tartışmalı Devrim. Madde, Diyalektik ve Toplum, 1(2), 145-149. Tao, F., Zhang, M., Liu, Y. and Nee, A. (2018). Digital Twin Driven Prognostics and Health Management for Complex Equipment. CIRP Annals-Manufacturing Technology, 169-172.
• Van Dijk, J. (2020). The Digital Divide (1st Edition). Hoboken, NJ, USA: John Wiley Sons.
• Van Houten, H. (2018). The Rise Of The Digital Twin: How Healthcare Can Benefit. Retrieved March 24, 2023 from https://www.philips.com/a-w/about/news/archive/blogs/innovation-matters/20180830-the-rise-of-the-digital-twin-how-healthcare-can-benefit.html.
• Voigt, I., Inojosa, H., Dillenseger, A., Haase, R., Akgün, K. and Ziemssen, T. (2021). Digital Twins for Multiple Sclerosis. Front. Immunol., 12, 669811, 1-17. Doi: https://doi.org/10.3389/fimmu.2021.669811.
• Wang, Y., Adua, E., Russell, A., Roberts, P., Ge, S., Zeng, Q. and Wang, W. (2016). Glycomics and Its Application Potential in Precision Medicine. American Association for the Advancement of Science, 354, 36-39. Doi:10.1126/SCIENCE.354.6319.1601-B.
• Zhang, Z., Guan, Z., Gong, Y., Luo, D. and Yue, L. (2022). Improved Multi-fidelity Simulation-based Optimisation: Application in a Digital Twin Shop Floor. Int. J. Prod. Res., 60, 1016-1035.