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@article{183285,
        author = {Sachin Sudhir Shinde},
        title = {Developing Scalable RESTful APIs with Python Flask and Cloud Services for Processing of Health Report Files},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1570-1577},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183285},
        abstract = {The proliferation of electronic health records and digitized clinical workflows has created an urgent need for scalable, secure, and interoperable systems for managing health report files. RESTful APIs built with Python Flask have become a popular solution for enabling communication between disparate systems and processing medical data efficiently. When combined with modern cloud platforms such as AWS and GCP, these Flask-based APIs can achieve high availability, modularity, and performance at scale. This review investigates the current landscape of RESTful API development using Flask, focusing on health data processing in cloud-native environments. It synthesizes architectural models, experimental results, scalability considerations, and security practices. The paper also highlights current research gaps, including asynchronous data handling, performance benchmarking, and automated compliance auditing. Ultimately, the review offers guidance for healthcare technologists and developers aiming to build robust, future-proof systems for digital health.},
        keywords = {Flask, RESTful APIs, Health Report Processing, Cloud Computing, AWS, Serverless, HL7, FHIR, Python, Healthcare IT, Medical Data Security, API Performance, CI/CD, File Processing, Cloud Services.},
        month = {August},
        }