Convergence of AI and Healthcare Administration: Transforming Patient Data Processing and Claims Management Through Intelligent Automation

Chandramohan, Pradeep (2025) Convergence of AI and Healthcare Administration: Transforming Patient Data Processing and Claims Management Through Intelligent Automation. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2540-2551. ISSN 2582-8266

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Abstract

This article examines the transformative impact of artificial intelligence and automation technologies on healthcare administrative workflows, focusing on patient data processing and claims management. Healthcare organizations face significant administrative inefficiencies that burden the system with excessive costs and divert clinical resources away from patient care. The article explores how AI-driven solutions are revolutionizing key administrative processes including patient application processing, hospital claims validation, regulatory compliance, and data security. Through article analysis of implementation data across multiple healthcare settings, the article demonstrates how these technologies substantially reduce processing times, minimize error rates, enhance fraud detection, strengthen compliance, and improve cybersecurity while simultaneously generating significant cost savings. The integration of AI into administrative workflows not only addresses immediate operational challenges but also enables healthcare professionals to redirect their focus toward patient care activities, ultimately leading to improved healthcare delivery and outcomes.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0780
Uncontrolled Keywords: Healthcare Automation; Artificial Intelligence; Claims Validation; Regulatory Compliance; Administrative Efficiency
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:38
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/4131