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Elevating Medical Efficiency and Personalized Care Through the Integration of Artificial Intelligence and Distributed Web Systems

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Generative Intelligence and Intelligent Tutoring Systems (ITS 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14799))

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Abstract

In the contemporary context of the medical field, the collaboration between technology and classical medicine becomes essential to improve the efficiency of the medical act and to be able to provide personalized care using the latest available technologies. The healthcare industry faces a number of challenges, including rising costs and a shortage of healthcare professionals. Effective and personalized medical treatment is one of the essential goals of healthcare systems spread across the globe. Distributed web infrastructure can help improve efficiency and reduce costs by simplifying communication and collaboration between healthcare providers. Distributed web systems offer a major new opportunity to improve the field through more effective interconnection and collaboration between healthcare providers and patients. Distributed web infrastructure improves data privacy and security by eliminating sensitive points. By allowing patients to share specific information with healthcare providers while maintaining privacy, they have more control over their medical data. This model of approach contributes to a model of patient-oriented medical care rather than distributing attention to the shortcomings of the information system. Decentralized data repositories and collaborative platforms can accelerate the pace of medical discovery and promote more efficient clinical trials. Integrating a distributed web infrastructure in healthcare promises to deliver personalized care and improve medical practice. This shift in direction towards decentralization will provide new opportunities for innovation, collaboration, and improving patient outcomes in the context of improved healthcare services.

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Authors and Affiliations

  1. Interdisciplinary Doctoral School, National University of Science and Technology POLITEHNICA Bucharest, Pitesti University Center, Pitesti, Romania

    Marian Ileana

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  1. Marian Ileana
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Correspondence to Marian Ileana .

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Editors and Affiliations

  1. University of Macedonia, Thessaloniki, Greece

    Angelo Sifaleras

  2. Athabasca University, Athabasca, AB, Canada

    Fuhua Lin

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Ileana, M. (2024). Elevating Medical Efficiency and Personalized Care Through the Integration of Artificial Intelligence and Distributed Web Systems. In: Sifaleras, A., Lin, F. (eds) Generative Intelligence and Intelligent Tutoring Systems. ITS 2024. Lecture Notes in Computer Science, vol 14799. Springer, Cham. https://doi.org/10.1007/978-3-031-63031-6_1

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  • DOI: https://doi.org/10.1007/978-3-031-63031-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-63030-9

  • Online ISBN: 978-3-031-63031-6

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