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Analysis Study Research Paper | Information Technology | United States of America | Volume 13 Issue 12, December 2024 | Rating: 7.2 / 10
Transforming Healthcare API Development with Generative AI: A Dynamic and Efficient Swagger Framework
Saritha Kondapally
Abstract: This article explores how Generative AI integrates with modern API standards to enhance Swagger specifications dynamically. Focusing on provider management APIs in healthcare, the AI-driven framework demonstrates significant efficiency, reducing manual effort and errors while maintaining OpenAPI compliance. The approach is cross-functional, with potential applications in industries like finance and retail. The study highlights methodologies, technical challenges, validation processes, and efficiency gains, emphasizing the transformative role of Generative AI in API development.
Keywords: Generative AI, Healthcare, Swagger Specification Automation, API Standardization, Swagger UI, AI in Software Engineering, AI-enhanced Documentation, Provider Management APIs, Stoplight Studio, Machine Learning in API Design, Postman for API Testing
Edition: Volume 13 Issue 12, December 2024,
Pages: 1175 - 1177