Leveraging AI for Chronic Disease Management: A New Horizon in Medical Research

Authors

  • Kawsher Rahman In-Charge and RMO, Beanibazar Cancer and General Hospital, Sylhet, Bangladesh
  • Prasanna Pasam Developer IV Specialized, Fannie Mae. 2000 Opportunity Wy, Reston, VA, USA
  • Srinivas Addimulam Senior Manager (Lead Data Engineer), CVS Health, 909 E Collins Blvd, Richardson, TX, 75081, USA
  • Vineel Mouli Natakam Sr. Engineer Supply Chain Execution, Cardinal Health, 7000 Cardinal Pl, Dublin, OH, USA

Keywords:

Artificial Intelligence, Chronic Disease, Disease Management, Predictive Analytics, Patient Monitoring, Personalized Medicine, Technology Integration

Abstract

This research examines how predictive analytics, tailored therapy, and resource optimization may change chronic illness management using AI. The primary goals are to examine AI-driven prediction models for early illness identification, tailored treatment regimens, and healthcare resource management. The research thoroughly reviews peer-reviewed literature and clinical trials using secondary data to consolidate AI applications in chronic illness management. Significant discoveries show AI can detect illness exacerbations, customize therapy, and increase resource efficiency, improving patient outcomes and lowering healthcare costs. The paper also notes data privacy, algorithmic bias, and system integration issues. Policy imperatives include comprehensive data security, uniform validation, and inclusive data practices. Policymakers, AI developers, and healthcare professionals must work together to solve these problems and use AI technology fairly and effectively. This thorough review shows that AI may transform chronic illness management but requires continual research and innovative policy creation.

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References

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Published

2022-10-15

Issue

Vol. 9 No. 2 (2022): July - December Issue

Section

Peer-reviewed Article

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How to Cite

Rahman, K., Pasam, P., Addimulam, S., & Natakam, V. M. (2022). Leveraging AI for Chronic Disease Management: A New Horizon in Medical Research. Malaysian Journal of Medical and Biological Research, 9(2), 81-90. https://mjmbr.my/index.php/mjmbr/article/view/691