Interoperability & Data Alignment
Integrating clinical, claims, and quality-related data sources to ensure care gap logic is based on complete and current information.
Care gap management and care planning are foundational to Value-Based Care.
Yet in practice, these workflows often struggle to deliver consistent results.
Common challenges include:
As a result, care teams spend significant effort reconciling information instead of acting on it.
Enabling care gap management and care plan workflows requires aligning data, logic, and operational execution.
This use case typically involves the ability to:
When enabled correctly, care gaps and care plans become living, actionable constructs, not static artifacts.
We approach this use case as a workflow and logic enablement challenge, not as a predefined care management system.
Our typical approach includes:
Integrating clinical, claims, and quality-related data sources to ensure care gap logic is based on complete and current information.
Operationalizing quality and gap rules to consistently identify, update, and track care gaps over time.
Linking care gaps to structured care plan components that can drive tasks, follow-ups, and interventions.
Enabling automated updates, status changes, and alerts as gaps are addressed or patient conditions change.
This approach ensures care gap and care plan workflows are scalable, traceable, and operationally usable.
In the walkthrough, you’ll see a simulated visual demonstration of how care gap management and care plan enablement typically works. The walkthrough focuses on enablement patterns and workflow design, not 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.