The Impact of AI-Generated Content on Customer and Patient Service Optimization with Clinical Decision Support

Abstract

Clinical Decision Support Systems (CDSS) are revolutionizing healthcare by providing real-time, evidence-based insights that support accurate and timely clinical decisions. This paper investigates the role of AI-generated content (AIGC) in enhancing patient care and customer service through its integration with CDSS. Leveraging AI technologies such as machine learning (ML), natural language processing (NLP), and deep learning (DL), CDSS can significantly improve clinical outcomes. However, challenges like alert fatigue, inefficient notifications, and the need for ongoing system optimization persist. This study explores the use of ChatGPT-based solutions to refine clinical alerts, offering a scalable, cost-effective method to improve their relevance, timing, and clarity. Rather than replacing clinicians, the goal is to support and enhance human decision-making. The paper also examines the broader role of AI in shaping clinical guidelines and improving patient communication, emphasizing its growing influence in modern healthcare.

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