TELEMEDICINE DATA PROCESSING IN MODERN HEALTHCARE
Keywords:
telemedicine, digital health; data processing; remote monitoring; artificial intelligence; cloud computing; medical informatics; cybersecurity; e-health systemsAbstract
Telemedicine has become a central component of modern healthcare, providing remote access to medical services and enhancing clinical decision-making. The quality and effectiveness of telemedicine depend heavily on how patient data are collected, transmitted, processed, analyzed, and stored. This article examines the technological foundations of telemedicine data processing, including data acquisition, preprocessing, cloud integration, artificial intelligence–based analytics, and cybersecurity measures. It also evaluates current challenges and outlines opportunities for improving diagnostic accuracy, clinical workflows, and health outcomes through advanced data-processing techniques.
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References
World Health Organization. Telemedicine: Opportunities and Developments in Member States. WHO Press, 2021.
Dorsey ER, Topol EJ. State of Telehealth. New England Journal of Medicine, 2020.
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Tanski M et al. AI-Driven Remote Monitoring Systems in Healthcare. Journal of Medical Systems, 2023.
Shuja J et al. Cloud-Based Healthcare Applications: Security and Privacy Challenges. Future Generation Computer Systems, 2022.
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- 2025-12-05 (2)
- 2025-12-05 (1)
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
