Research Article Published: June 15, 2025 Volume 1, Issue 4

Transformative Potential of Machine Learning Algorithms in Clinical Decision Support Systems and Healthcare Delivery Optimization

Authors

Rajiv Patel*1

Affiliation: Centre for Medical Machine Learning, University College Hampshire, London WC1E 6BT, UK

Amina Khan1

Affiliation: Centre for Medical Machine Learning, University College Hampshire, London WC1E 6BT, UK

*Corresponding author: Rajiv Patel

Abstract

The medical field is seeing the profound effects of machine learning (ML) applications. Machine learning (ML) is an area of artificial intelligence that aims to streamline medical procedures for the benefit of patients. Countries that are facing healthcare system overloads due to a shortage of trained medical professionals may find some solace in artificial intelligence. Using healthcare data, we may achieve several aims, such as finding the perfect trial sample, gathering more data points, assessing ongoing data from trial participants, and removing data-based errors.

Machine learning techniques can aid in the early detection of epidemic or pandemic warning indicators. The algorithm uses satellite data, news and social media feeds, and video sources to predict when the sickness will spread too far. The healthcare business stands to gain a great deal from the implementation of ML. By eliminating mundane administrative duties like data entry and search, medical professionals will have more time to focus on providing direct care to patients.

This article delves into ML and its importance in healthcare, before moving on to talk about related aspects and the right ML pillars for healthcare infrastructure. Lastly, it highlighted the major uses of ML in healthcare and went over them. The healthcare organization stands to gain a great deal from implementing this technology into its operations. The application of ML-based technologies has several benefits in the healthcare industry, including the provision of personalized treatment plans, the enhancement of hospital and healthcare system efficiency, and the reduction of healthcare costs.

Both hospitals and doctors will soon feel the effects of ML. Medical diagnosis, individualized treatment plans, and clinical decision support systems will all rely on it to their fullest extent.

Keywords

Machine Learning Clinical Decision Support Systems Healthcare Delivery Optimization Artificial Intelligence Medical Diagnosis Healthcare Technology Predictive Analytics Electronic Health Records Medical Imaging Healthcare Data Analysis

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How to Cite

APA Style:

Patel, R., & Khan, A. (2025). Transformative Potential of Machine Learning Algorithms in Clinical Decision Support Systems and Healthcare Delivery Optimization. International Journal of Advanced Research in Engineering and Related Sciences, 1(4), 1.

IEEE Style:

R. Patel and A. Khan, "Transformative Potential of Machine Learning Algorithms in Clinical Decision Support Systems and Healthcare Delivery Optimization," International Journal of Advanced Research in Engineering and Related Sciences, vol. 1, no. 4, paper 1, 2025.

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