Rad AI Reporting Deep-Linking: Accessing FHIR Resources
Launch Reporting App - Rad AI
Summary
Rad AI Reporting utilizes deep-linking via a custom protocol to directly access specific FHIR resources within the desktop application. This streamlines the report creation process linked to data such as ImagingStudy.
Details
This article provides technical documentation detailing the implementation of deep-linking using a custom protocol for Rad AI Reporting. Specifically, it outlines how to directly access and create new reports based on a FHIR resource, such as `ImagingStudy`. The system adheres to the FHIR search token specification format, allowing identification via various formats. Supported formats include not only general ID values but also those specifying an identifier with a particular system property or just the system property itself. This capability allows external systems to pass precise data context into the application. Furthermore, the documentation introduces support for setting the FHIRcast hub topic. By appending `&hub.topic={topic-id}` as a query parameter, users can set a specific FHIRcast hub topic simultaneously with creating a report. This is crucial for workflow integration and context management. Technically, this demonstrates an advanced interoperability pattern in healthcare IT, enhancing data referencing consistency and efficiency by leveraging multiple standards like FHIR.
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