https://doi.org/10.4081/ejtm.2024.12197
Adoption of blockchain as a step forward in orthopedic practice
Submitted: 18 December 2023
Accepted: 25 February 2024
Published: 24 May 2024
Accepted: 25 February 2024
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Blockchain technology has gained popularity since the invention of Bitcoin in 2008. It offers a decentralized and secure system for managing and protecting data. In the healthcare sector, where data protection and patient privacy are crucial, blockchain has the potential to revolutionize various aspects, including patient data management, orthopedic registries, medical imaging, research data, and the integration of Internet of Things (IoT) devices. This manuscript explores the applications of blockchain in orthopedics and highlights its benefits. Furthermore, the combination of blockchain with artificial intelligence (AI), machine learning, and deep learning can enable more accurate diagnoses and treatment recommendations. AI algorithms can learn from large datasets stored on the blockchain, leading to advancements in automated clinical decision-making. Overall, blockchain technology has the potential to enhance data security, interoperability, and collaboration in orthopedics. While there are challenges to overcome, such as adoption barriers and data sharing willingness, the benefits offered by blockchain make it a promising innovation for the field.
Zhao W. Blockchain technology: development and prospects. Natl Sci Rev 2019;6:369-73.
DOI: https://doi.org/10.1093/nsr/nwy133
Yoon HJ. Blockchain technology and healthcare. Healthc Inform Res 2019;25:59-60.
DOI: https://doi.org/10.4258/hir.2019.25.2.59
Agbo CC, Mahmoud QH, Eklund JM. Blockchain technology in healthcare: a systematic review. Healthcare (Basel) 2019;7:56.
DOI: https://doi.org/10.3390/healthcare7020056
Papathanasiou J, Petrov I, Kashilska Y, Kostov K, Dzhafer N. Is telerehabilitation a top priority for the Bulgarian healthcare system in the post COVID-19 era? Health Policy Technol 2022;11:100664.
DOI: https://doi.org/10.1016/j.hlpt.2022.100664
Tan TL, Salam I, Singh M. Blockchain-based healthcare management system with two-side verifiability. PLoS One 2022;17:e0266916.
DOI: https://doi.org/10.1371/journal.pone.0266916
Delaunay C. Registries in orthopaedics. Orthop Traumatol Surg Res 2015;101:S69-S75.
DOI: https://doi.org/10.1016/j.otsr.2014.06.029
Thomson C, Beale R. Is blockchain ready for orthopaedics? A systematic review. J Clin Orthop Trauma 2021;23:101615.
DOI: https://doi.org/10.1016/j.jcot.2021.101615
Porsdam Mann S, Savulescu J, Ravaud P, Benchoufi M. Blockchain, consent and prosent for medical research. J Med Ethics 2021;47:244–50.
DOI: https://doi.org/10.1136/medethics-2019-105963
Aiello M, Cavaliere C, D'Albore A, Salvatore M. The challenges of diagnostic imaging in the era of big data. J Clin Med 2019;8:316.
DOI: https://doi.org/10.3390/jcm8030316
Mohsan SAH, Razzaq A, Ghayyur SAK, et al. Decentralized patient-centric report and medical image management system based on blockchain technology and the inter-planetary file system. Int J Environ Res Public Health 2022;19:14641.
DOI: https://doi.org/10.3390/ijerph192214641
Shi S, He D, Li L, et al. Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey. Comput Secur 2020;97:101966.
DOI: https://doi.org/10.1016/j.cose.2020.101966
Coraci D, Maccarone MC, Regazzo G, et al. ChatGPT in the development of medical questionnaires. The example of the low back pain. Eur J Transl Myol 2023;33:12114.
DOI: https://doi.org/10.4081/ejtm.2023.12114
Kumar R, Arjunaditya, Singh D, et al. AI-powered blockchain technology for public health: a contemporary review, open challenges, and future research directions. Healthcare (Basel) 2022;11:81.
DOI: https://doi.org/10.3390/healthcare11010081
Meschini C, Cauteruccio M, Oliva MS, et al. Hip and knee replacement in patients with ochronosis: Clinical experience and literature review. Orthop Rev (Pavia). 2020;12:8687.
DOI: https://doi.org/10.4081/or.2020.8687
Sabry F, Eltaras T, Labda W, et al. Machine learning for healthcare wearable devices: the big picture. J Healthc Eng 2022;2022:4653923.
DOI: https://doi.org/10.1155/2022/4653923
Giordanengo A. possible usages of smart contracts (blockchain) in healthcare and why no one is using them. Stud Health Technol Inform 2019;264:596-600.
Chen HS, Jarrell JT, Carpenter KA, et al. Blockchain in healthcare: a patient-centered model. Biomed J Sci Tech Res 2019;20:15017-22.
DOI: https://doi.org/10.26717/BJSTR.2019.20.003448
Sadoughi F, Behmanesh A, Sayfouri N. Internet of things in medicine: A systematic mapping study. J Biomed Inform 2020;103:103383.
DOI: https://doi.org/10.1016/j.jbi.2020.103383
Pratap Singh R, Javaid M, Haleem A, et al. Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications. J Clin Orthop Trauma 2020;11:713-17. Corrections in: J Clin Orthop Trauma 2021;21:101561 and J Clin Orthop Trauma 2020;11:1169-71.
DOI: https://doi.org/10.1016/j.jcot.2020.05.011
Dias D, Paulo Silva Cunha J. Wearable health devices-vital sign monitoring, systems and technologies. Sensors (Basel) 2018;18:2414.
DOI: https://doi.org/10.3390/s18082414
Aqeel-ur-Rehman KM, Baksh A. Communication Technology That Suits IoT - A Critical Review. In Wireless Sensor Networks for Developing Countries. Springer, Berlin, Heidelberg. 2013;366:14-25.
DOI: https://doi.org/10.1007/978-3-642-41054-3_2
Porkodi R, Bhuvaneswari V. The internet of things (IOT) applications and communication enabling technology standards: An overview. In: 2014 International conference on intelligent computing applications. IEEE, 2014. p. 324-329.
DOI: https://doi.org/10.1109/ICICA.2014.73
Hashimoto DA, Rosman G, Rus D, Meireles OR. Artificial intelligence in surgery: promises and perils. Ann Surg 2018;268:70-76.
DOI: https://doi.org/10.1097/SLA.0000000000002693
Shi L, Wang XC, Wang YS. Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China. Braz J Med Biol Res 2013;46:993-99.
DOI: https://doi.org/10.1590/1414-431X20132948
Ramkumar PN, Karnuta JM, Navarro SM, et al. Preoperative prediction of value metrics and a patient-specific payment model for primary total hip arthroplasty: development and validation of a deep learning model. J Arthroplasty 2019;34:2228-34.e1.
DOI: https://doi.org/10.1016/j.arth.2019.04.055
How to Cite
Rovere, G., Bosco, F., Miceli, A., Ratano, S., Freddo, G., D’Itri, L., Ferruzza, M., Maccauro, G., Farsetti, P., & Camarda, L. (2024). Adoption of blockchain as a step forward in orthopedic practice. European Journal of Translational Myology, 34(2). https://doi.org/10.4081/ejtm.2024.12197
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