EFFICIENCY OF ELECTRONIC HEALTH RECORD (EHR) SYSTEMS

Electronic health (eHealth) systems play a vital role in modern medicine, enabling the digitization of patient data, improving service quality, and optimizing treatment processes. This article analyzes the integration of Big Data and Artificial Intelligence (AI) technologies into eHealth systems. Big Data plays a crucial role in analyzing patient medical records, genetic data, and real-time monitoring results, while AI is utilized in diagnostics, personalized treatment plans, and the automation of administrative processes. The article examines the advantages, limitations, and future possibilities of these technologies. In the future, directions such as genomics, pandemic preparedness, and global integration will further develop the healthcare sector. This research is aimed at increasing the efficiency of eHealth systems and contributing to human health.

电子健康（eHealth）系统在现代医学中发挥着至关重要的作用，可实现患者数据的数字化，提升服务质量并优化诊疗流程。本文分析了大数据（Big Data）与人工智能（AI）技术在电子健康系统中的融合应用。大数据在分析患者病历、基因数据及实时监测结果方面发挥着关键作用，而人工智能则被应用于疾病诊断、个性化诊疗方案制定以及行政流程自动化。本文探讨了上述技术的优势、局限及未来发展潜力。未来，基因组学、大流行病防控筹备及全球整合等方向将进一步推动医疗健康领域的发展。本研究旨在提升电子健康系统的运行效率，为人类健康事业贡献力量。