How AI Improves Telemedicine through Improving Data Management in Healthcare

Authors

  • Alreem Albahar Author

DOI:

https://doi.org/10.60087/jklst.vol2.n3.p250

Keywords:

Artificial intelligence, Data management, Healthcare, Telemedicine

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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Published

20-12-2023

How to Cite

Albahar, A. (2023). How AI Improves Telemedicine through Improving Data Management in Healthcare. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 242-250. https://doi.org/10.60087/jklst.vol2.n3.p250

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