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Towards Healthcare Digital Twin Architecture

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Perspectives in Business Informatics Research (BIR 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 493))

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Abstract

Digital Twins (DTs) have the potential to revolutionize the healthcare industry by offering effective and efficient healthcare services. However, there is a lack of clarity regarding the challenges pertaining to the creation of healthcare DTs from the components, design, and operational requirements perspective. In this paper, we address these gaps by examining the healthcare challenges and presenting the groundbreaking applications of DTs in healthcare to identify how they can address the healthcare challenges. We then discuss healthcare DTs’ design and operational requirements, focusing on considerations that ensure their effective implementation and adoption. In accordance with the requirements, we propose an architecture for implementing healthcare DTs, covering the steps of building DTs from data collection and integration to DT model creation and deployment. Moreover, we present the proof of concept as a prototypical implementation of healthcare DT. Finally, we discuss the open challenges of healthcare DTs and future research directions.

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Notes

  1. 1.

    https://azure.github.io/opendigitaltwins-dtdl/DTDL/v3/DTDL.v3.html.

References

  1. Curioso, W.H., Ting, D.S.W., van Ginneken, B., Were, M.C.: Challenges in digital medicine applications in under-resourced settings. Nat. Commun. 13 (2022)

    Google Scholar 

  2. Barricelli, B.R., Casiraghi, E., Fogli, D.: A survey on digital twin: definitions, characteristics, applications, and design implications. IEEE Access 7, 167653–167671 (2019)

    Article  Google Scholar 

  3. Rivera, L.F., Villegas, N.M., Jiménez, M., Tamura, G., Angara, P., Müller, H.A.: Towards continuous monitoring in personalized healthcare through digital twins. In: CASCON 2019 Proceedings - Conference of the Centre for Advanced Studies on Collaborative Research, pp. 329–335 (2019)

    Google Scholar 

  4. Fuller, A., Fan, Z., Day, C., Barlow, C.: Digital twin: enabling technologies, challenges and open research. IEEE Access 8, 108952–108971 (2020)

    Article  Google Scholar 

  5. Lin, Y., et al.: Human digital twin: a survey. arXiv preprint arXiv:2212.05937 (2022)

  6. Erol, T., Mendi, A.F., Dogan, D.: The digital twin revolution in healthcare. In: 2020 4th ISMSIT, pp. 1–7 (2020)

    Google Scholar 

  7. Elayan, H., Aloqaily, M., Guizani, M.: Digital twin for intelligent context-aware IoT healthcare systems. IEEE Internet Things J. 8(23), 16749–16757 (2021)

    Article  Google Scholar 

  8. Hassani, H., Huang, X., MacFeely, S.: Impactful digital twin in the healthcare revolution. Big Data Cogn. Comput. 6(3), 1–17 (2022)

    Google Scholar 

  9. Sun, T., He, X., Song, X., Shu, L., Li, Z.: The digital twin in medicine: a key to the future of healthcare? Front. Med. 9, 1–8 (2022)

    Article  Google Scholar 

  10. Sahal, R., Alsamhi, S.H., Brown, K.N.: Personal digital twin: a close look into the present and a step towards the future of personalised healthcare industry. Sensors 22(15), 1–35 (2022)

    Article  Google Scholar 

  11. Attaran, M., Celik, B.G.: Digital Twin: benefits, use cases, challenges, and opportunities. Decis. Anal. J. 6, 100165 (2023)

    Google Scholar 

  12. Wang, L., et al.: Key considerations on the development of biodegradable biomaterials for clinical translation of medical devices: with cartilage repair products as an example. Bioact. Mater. 9, 332–342 (2022)

    MathSciNet  Google Scholar 

  13. Suhail, S., et al.: Blockchain-based digital twins: research trends, issues, and future challenges. ACM Comput. Surv. 54(11s) (2022)

    Google Scholar 

  14. 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 17(1), 1–25 (2021)

    Article  Google Scholar 

  15. Porter, S.: Cyberattack on Czech hospital forces tech shutdown during coronavirus outbreak (2020). https://healthcareitnews.com/news/emea/cyberattack-czech-hospital-forces-tech-shutdown-during-coronavirus-outbreak

  16. Wickramasinghe, N., Chalasani, S., Boppana, R.V., Madni, A.M.: Healthcare system of systems. In: 2007 IEEE International Conference on System of Systems Engineering, pp. 1–6 (2007)

    Google Scholar 

  17. Suhail, S., Iqbal, M., Hussain, R., Jurdak, R.: ENIGMA: an explainable digital twin security solution for cyber-physical systems. Comput. Ind. 151, 103961 (2023)

    Article  Google Scholar 

  18. DigitalEurope: Ecosystem Digital Twins in Healthcare (2022). https://digitaleurope.org/ecosystem-digital-twins-in-healthcare-edith

  19. Wang, G., et al.: Development of metaverse for intelligent healthcare. Nat. Mach. Intell., 1–8 (2022)

    Google Scholar 

  20. Suhail, S., Malik, S.U.R., Jurdak, R., Hussain, R., Matulevicius, R., Svetinovic, D.: Towards situational aware cyber-physical systems: a security-enhancing use case of blockchain-based digital twins. Comput. Ind. 141, 103699 (2022)

    Article  Google Scholar 

  21. Armeni, P., Polat, I., De Rossi, L.M., Diaferia, L., Meregalli, S., Gatti, A.: Digital twins in healthcare: is it the beginning of a new era of evidence-based medicine? A critical review. J. Pers. Med. 12(8), 1255 (2022)

    Article  Google Scholar 

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Correspondence to Mubashar Iqbal .

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Iqbal, M., Suhail, S., Matulevičius, R., Hussain, R. (2023). Towards Healthcare Digital Twin Architecture. In: Hinkelmann, K., López-Pellicer, F.J., Polini, A. (eds) Perspectives in Business Informatics Research. BIR 2023. Lecture Notes in Business Information Processing, vol 493. Springer, Cham. https://doi.org/10.1007/978-3-031-43126-5_4

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  • DOI: https://doi.org/10.1007/978-3-031-43126-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43125-8

  • Online ISBN: 978-3-031-43126-5

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