Bulk Clinical Data Ingestion from EMR into Data Cloud
Use Cases
Use Case 1: Patient Segmentation
Scenario:
In a healthcare landscape with diverse EMR systems, the challenge lies in unifying patient data for effective segmentation. Patient characteristics, treatment plans, and medical histories are scattered across systems, hindering personalized interventions.
Solution:
This integration effortlessly extracts and consolidates patient data from various EMRs using the FHIR Bulk API. After the data is transformed, it integrates seamlessly into Salesforce Data Cloud. This unified dataset enables dynamic patient segmentation based on demographics, medical history, and treatment plans.
Benefits:
- Targeted Interventions: Precise identification of at-risk populations for proactive interventions.
- Patient Outreach: Improve Patient outreach activities through personalized campaigns
Use Case 2: Population Health Management
Scenario:
Managing the health of a diverse population requires a consolidated and real-time view of health data. Multiple EMRs generate data in different formats, making it challenging to holistically address population health.
Solution:
The integration collects and integrates FHIR Bulk API-compliant data from various EMRs into Salesforce Data Cloud. It harmonizes diverse datasets through transformation and mapping, providing a centralized hub for population health management.
Benefits:
- Comprehensive Analytics: Enables in-depth analysis and identification of health trends.
- Proactive Health Strategies: Facilitates preventive care initiatives based on population health insights.
- Optimized Resource Allocation: Informed decision-making for resource allocation in chronic disease management.