Clinical Health Assistant Application Using Agentic AI Machine Learning  Models

Pooja Rajiv Ranjan

Clinical Health Assistant Application Using Agentic AI Machine Learning Models

Authors

Pooja Rajiv Ranjan

Keywords:

Agentic AI, Clinical Decision Support, Electronic Health Records, Natural Language Processing, Machine Learning, Healthcare Technology, Predictive Analytics, HIPAA Compliance, Neural Networks, Generative AI

Abstract

Healthcare delivery faces persistent challenges in managing fragmented patient data, coordinatingcare across multiple providers, and supporting clinical decision-making with comprehensiveinformation. This article proposes an intelligent chatbot system utilizing agentic artificial intelligenceand machine learning technologies to assist healthcare providers in synthesizing patient histories, analyzing symptoms, and generating evidence-based recommendations.

References

Kornelia Batko, Andrzej Ślęzak, "The use of Big Data Analytics in healthcare" National Library of Medicine, PMC, J Big Data. 2022 Jan 6;9(1):3.

https://pmc.ncbi.nlm.nih.gov/articles/PMC8733917/

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Published

2025-12-31

How to Cite

Pooja Rajiv Ranjan. (2025). Clinical Health Assistant Application Using Agentic AI Machine Learning Models . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 958–967. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4687