Too many apps, too little harmony. Healthcare professionals spend hours every day not only with patients but also in front of software from different vendors. Scheduling, imaging, reporting, dictation and more each run in their own silo. The result is clutter, wasted clicks and constant context switching. Now imagine those apps playing in tune, always showing the same context in real time.
That is exactly what FHIRCast enables. FHIR (Fast Healthcare Interoperability Resources) is a modern HL7 standard that synchronizes applications by publishing workflow events through a hub. Any app that subscribes to the hub sees the same context at the same moment. Open an exam, update a report, or close a study. Every connected system follows along.
This is exactly what we needed for the healthcare platform we are building for one of our clients. Their solution combines scheduling, imaging, reporting, and AI-powered tools in a single workspace. FHIRCast became the connective tissue that lets third-party apps move in step with the core workflow. In the next chapters we will explain how we solved the challenge of synchronizing applications using FHIRCast.
Our client and platform at a glance
Our client is a technology company in the healthcare sector. They are creating a scalable platform that allows radiologists and other specialists to manage the entire diagnostic workflow in one place. The platform reduces the need to switch between disconnected systems and helps clinicians focus on the patient instead of juggling software. To make this possible, the platform relies on FHIRCast to keep all connected applications in sync.
FHIRCast is a standard for synchronizing healthcare applications in real time. It works by broadcasting workflow events through a hub so that every connected system shows the same clinical context to the user. Apps can subscribe to sessions and automatically follow the same context. Notifications carry FHIR payloads that describe the current state, such as which exam is open or which report was updated. Supported applications do not just connect technically. They operate in harmony within a single workflow.
RadAI dictation through FHIRCast
To illustrate how this works in real life let’s look at how we used FHIRCast to integrate our client’s platform with RadAI, an AI-powered dictation system. RadAI converts spoken findings into structured medical text and supports radiologists by speeding up reporting and reducing manual typing.
We built the integration around three components: our platform, the FHIRCast hub, and RadAI. Our platform connects to RadAI through the FHIRCast hub. The hub is the middleman. It does not analyze or permanently store medical data, it only manages context and distributes events to all subscribed applications. The diagram below shows how the flow works.
The platform drives the session, the hub distributes context events, and RadAI stays in sync with every action such as opening exams, updating report status, closing studies, and reporting activity. This way the platform always reflects the latest state, and radiologists can focus on the work instead of juggling apps.
Why this works smoothly
Technically the flow is simple: the platform and RadAI both publish and listen on the same topic, the hub makes sure messages go to the right subscribers, and the events carry standardized FHIR resources like Patient, ImagingStudy, and Practitioner (which identifies the clinician performing the action). Because everyone speaks the same format, there is no risk of misaligned identifiers or missing context.
This is the logic in action: the platform drives the workflow, the hub keeps communication consistent, and RadAI mirrors and reports activity in real time. The radiologist sees only one smooth process, but under the hood multiple systems are staying perfectly in sync.
Results
This integration delivered three key outcomes:
- Zero manual reentry. Radiologists no longer need to open or close studies in multiple apps.
- Consistent status. Report states and exam lifecycle are always aligned.
- Vendor neutrality. Any application that supports FHIRCast can join the workflow with minimal custom work, and RadAI is a good example of how quickly such integrations can be implemented.
Wrapping it all up
We enjoyed building this piece because it shows what modern healthcare IT should feel like. Apps that talk to each other, context that just flows, and users who can finally focus on the work that matters.
If your organization is looking for that kind of harmony, we would be glad to help make it happen.
