Overview
RTLS observations can support healthcare workflows when applications receive useful context rather than raw integration details.
I designed shared RTLS processing and reporting services that provided that boundary in an event-driven environment.
The problem
Raw RTLS events did not directly provide the workflow context that downstream systems needed, including the next expected workflow step.
The events were asynchronous and could arrive out of order, so consumers could not depend on one ideal arrival sequence.
My role
I designed and implemented the shared RTLS processing and related event-driven reporting services.
Processing approach
The processing services established a shared boundary between incoming RTLS events and the applications that used them. The approach emphasized:
- Event-driven input handling
- Shared workflow context
- Consistent outputs for application consumers
- Clear separation between processing and reporting responsibilities
The implementation served as a reusable platform capability for healthcare workflow needs.
Reporting integration
Related reporting services used the same shared platform boundary instead of duplicating integration behavior in each consumer.
Operational effect
The shared services gave applications and reporting consumers a consistent way to use RTLS workflow context without each consumer implementing the same integration concerns.
What this demonstrates
- Event-driven healthcare systems
- Shared platform architecture
- RTLS processing
- Workflow and reporting integration
- Reliability under asynchronous event delivery