Prompt Engineering in AI driven Indian Healthcare

Abstract

The phenomenal growth of artificial intelligence (AI) and machine learning (ML) in recent years has revolutionized various sectors, including healthcare. Particularly the large language models (LLMs) developed recently by various companies such as Google, Microsoft, Nvidia, OpenAI have demonstrated remarkable capabilities in understanding and generating contextualized text thus making them valuable tools that can be effectively utilized by healthcare industry and service providers. Prompt engineering plays a crucial role leveraging full potential of such LLMs. Prompt Engineering is the technique used to design and refine inputs to improve the performance of AI models and maximize the efficacy of AI applications. In India, with diverse population and varying healthcare needs and resource constraints specially in tier 3 cities, villages and remote areas. This paper highlights pivotal role that Prompt Engineering can play in supplementing solutions and initiatives to address healthcare needs. It explores applications in diagnostics, electronic health records (EHRs), virtual health assistants and the overall impact on patient care and administrative efficiency. Through case studies and theoretical analysis, this paper aims to demonstrate how prompt engineering can enhance diagnostic accuracy, streamline administrative tasks, and improve patient care. Keywords— AI, healthcare delivery, prompt engineering, LLM, EHRs, virtual health assistants, patient care