Sandbox Access

Learn how to get a sneak peak and test Journl Streamed

Journl Streamed offers a secure sandbox environment where you and your organization can explore and test our FHIR APIs using synthetic healthcare data. This provides a safe and controlled space to interact with the APIs and understand their capabilities.

Getting Started

Follow these steps get access to the secure Journl sandbox environment:

  1. Reach out to the Journl Streamed team to request access to the sandbox environment. You can contact us via [email protected] or through our contact form on the Journl website.

  2. When your request is processed, you will receive a base URL and a bearer token.

  3. Use the credentials to authenticate and interact with the FHIR API in the sandbox environment. The credentials are valid for one week.

  4. (Optional) - If needed, our team can provide you with a collection of APIs to test through a Postman collection. This collection includes various pre-configured requests to help you get started quickly and efficiently.

Benefits of the Sandbox Environment

When the sandbox environment is running, you are now able to:

  • Test FHIR API Functionalities: The sandbox allows you to test the full range of FHIR API functionalities without impacting real-world data or systems.

  • Simulate Real-World Scenarios: Interact with realistic, synthetic healthcare data that mimics real-world scenarios to understand how your solutions can integrate with operational data.

  • Hands-On Exploration: Fully explore the capabilities and potential applications of the FHIR APIs.

  • (Optional) Connecting Real-World Data (RWD) to Real-World Evidence (RWE):

    • Go beyond API testing by exploring how Real-World Data becomes Real-World Evidence through detailed simulations in the sandbox environment.

    • Use synthetic healthcare data to simulate how data linkage, statistical models, and AI-driven analytics are applied to transform raw data into actionable insights.

    • This environment is particularly useful for understanding how advanced analyses such as comparative effectiveness, patient demographics, and health economic outcomes are conducted.

    • Learn how these analyses can support outcome-based pricing agreements, regulatory submissions, and clinical decision-making.

  • Note: This environment requires a project agreement. Examples of analyses that can be simulated can be found here.

    The simulations will be outputted in a Jupyter Notebook, providing an interactive and detailed breakdown of the process from RWD to RWE.

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