Digital Transformation and Artificial Intelligence in Chronic Disease Management | ||||
| Egyptian Journal of Health Sciences Technology | ||||
| Articles in Press, Accepted Manuscript, Available Online from 11 August 2025 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejhst.2025.399503.1002 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Adham Gaber1; Ahmed M Elshahat1; Alyaa Elrashedy   2; saeed Awad1; Mohamed E. Hasan3
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| 1Faculty of Applied Health Science, Borg Al Arab Technological University (BATU), Alexandria, Egypt | ||||
| 2Department of Animal Medicine and Infectious Diseases, Faculty of Veterinary Medicine, University of Sadat City, Egypt. Faculty of Applied Health Science, Borg Al Arab Technological University (BATU), Alexandria, Egypt | ||||
| 3Faculty of Applied Health Science, Borg Al Arab Technological University (BATU), Alexandria, Egypt Bioinformatics Department, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Egypt. | ||||
| Abstract | ||||
| Abstract : Chronic conditions such as diabetes, heart disease, and cancer are becoming major health crises worldwide, especially as populations age. Managing these long-term illnesses requires ongoing medical care, patient education, and innovative treatment approaches to reduce their impact on society. Recent advances in digital health and artificial intelligence have changed how we manage chronic diseases by improving diagnosis, creating personalized treatments, and enabling remote patient monitoring. Technologies such as telemedicine, biosensors, and mobile health apps now help patients take control of their health. Electronic medical records and AI-powered prediction tools also help doctors make faster, more accurate decisions. This review will explore how digital health innovations improve patient care, reduce costs, and promote preventive medicine. We also discuss how health literacy and community programs contribute to better disease management. While artificial intelligence implementation faces challenges, it shows great potential for creating more efficient, accessible, and patient-focused chronic disease care. | ||||
| Keywords | ||||
| Artificial intelligence; Chronic diseases; Digital health; Health literacy; Telemedicine | ||||
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