TELEMEDICINE DATA PROCESSING IN MODERN HEALTHCARE

Abstract

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.