International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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United States of America | Information Technology | Volume 13 Issue 12, December 2024 | Pages: 1175 - 1177


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



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Suresh Rating: 10/10 😊
2024-12-20
This article effectively demonstrates how Generative AI enhances Swagger specifications, improving efficiency and accuracy across healthcare and other industries.
Sai Rakesh Mogillapalle Rating: 10/10 😊
2024-12-20
This article does a fantastic job of showcasing how Generative AI can revolutionize API development by making the process faster, more efficient, and highly standardized.
Manikanth Rating: 10/10 😊
2024-12-20
This is interesting. providing API for models will be helpful and this can approach can be extended for other use cases
Radharani Rating: 10/10 😊
2024-12-23
This is very interesting and API,generative AI Health care, swagger specification automation all are very helpful

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