Interoperability & Data Aggregation
Integrating data across EHRs, claims systems, ADT feeds, and care management sources to create a shared operational context.
Care coordination is not limited by intent or clinical expertise — it is limited by fragmented data and disconnected workflows.
In real-world healthcare environments, teams often struggle because:
As a result, care coordination workflows become reactive, inconsistent, and difficult to scale.
Enabling care coordination workflows requires aligning data, analytics, and automation — not just integrating systems.
This use case typically involves the ability to:
When done well, care coordination workflows become data-driven and operationally reliable.
We approach care coordination as a workflow enablement challenge powered by interoperable data, rather than a pre-defined application or platform.
Our typical approach includes:
Integrating data across EHRs, claims systems, ADT feeds, and care management sources to create a shared operational context.
Designing analytics and dashboards that highlight care coordination priorities, gaps, and transitions in a way that supports daily workflows.
Enabling automated triggers, task routing, and follow-ups based on real-time or near-real-time data availability.
Ensuring workflows align with real care team roles, processes, and system constraints.
This approach allows care coordination workflows to be tailored, scalable, and grounded in real-world operations.
In the walkthrough, you’ll see a simulated visual demonstration of how care coordination workflow enablement typically comes together, including. The walkthrough focuses on how components work together, not on showcasing a finished product.
Get a short walkthrough showing how care gap management and care plan workflows can be enabled using interoperable data, analytics, and automation.