How AI Improves Telemedicine through Improving Data Management in Healthcare

Alreem Albahar
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Abstract

The ability of artificial intelligence (AI) to greatly increase the efficacy and efficiency of any task carried out has contributed to its rise in popularity in recent years. These days, the healthcare industry uses AI more often because of the growth in data and complexity. This study, which examined artificial intelligence (AI) in the healthcare industry, sought to fully grasp how AI enhances telemedicine by optimising data management. The results indicate that AI has helped to improve fragmented data organisation and data management. This enhancement really helped to increase the efficacy and efficiency of every process. The results also show that the use of artificial intelligence affected record accessibility, promoting telemedicine and enhancing precision and care quality. This study adds significant insights to inform the direction of healthcare technology advancement by demonstrating AI's enormous potential to optimise information management and care supply.
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人工智能如何通过改善医疗数据管理来改进远程医疗
人工智能(AI)能够大大提高任何任务的效率和效益,这也是近年来人工智能越来越受欢迎的原因之一。如今,由于数据和复杂性的增长,医疗保健行业更频繁地使用人工智能。本研究对医疗保健行业的人工智能(AI)进行了考察,旨在全面了解人工智能如何通过优化数据管理来增强远程医疗。结果表明,人工智能有助于改善分散的数据组织和数据管理。这种改进确实有助于提高每个流程的功效和效率。结果还显示,人工智能的使用影响了记录的可及性,促进了远程医疗,提高了精准度和护理质量。这项研究通过展示人工智能在优化信息管理和护理供应方面的巨大潜力,为医疗保健技术的发展方向提供了重要启示。
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