Sandbox Access
Learn how to get a sneak peak and test Journl Streamed
Last updated
Learn how to get a sneak peak and test Journl Streamed
Last updated
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.
Follow these steps get access to the secure Journl sandbox environment:
Reach out to the Journl Streamed team to request access to the sandbox environment. You can contact us via or through our on the Journl website.
When your request is processed, you will receive a base URL and a bearer token.
Use the credentials to authenticate and interact with the FHIR API in the sandbox environment. The credentials are valid for one week.
(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.
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 .
The simulations will be outputted in a Jupyter Notebook, providing an interactive and detailed breakdown of the process from RWD to RWE.