How to Automatically Sync Patient Records from a Database to openEHR
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| Workflow Name: |
EHR Integration: Database β OpenEHR Patient Sync |
|---|---|
| Purpose: |
Sync patient records from database to OpenEHR |
| Benefit: |
Accurate and consistent patient data |
| Who Uses It: |
Clinical IT; Healthcare Ops |
| System Type: |
Healthcare Integration Workflow |
| On-Premise Supported: |
Yes |
| Industry: |
Healthcare |
| Outcome: |
Updated patient records in OpenEHR |
Table of Contents
Description
| Problem Before: |
Manual patient data entry |
|---|---|
| Solution Overview: |
Extract patient data and push to OpenEHR |
| Key Features: |
Data mapping; validation; audit logs |
| Business Impact: |
Improved clinical data quality |
| Productivity Gain: |
Reduces manual entry |
| Cost Savings: |
Lowers admin effort |
| Security & Compliance: |
HIPAA compliant |
EHR Integration β Database to OpenEHR (Patient)
This workflow enables OpenEHR patient data integration by automatically syncing patient records from databases into OpenEHR. It ensures that clinical systems have accurate, consistent, and up-to-date patient information without manual entry.
Automated Patient Data Sync for Accurate Healthcare Records
The system retrieves patient data, validates it, and updates OpenEHR in real time. This workflow helps clinical IT and healthcare operations teams maintain precise patient records, reduce errors, and improve overall care management.
Watch Demo
| Video Title: |
Integrate EHR Patient Details with any Database using the FHIR Model |
|---|---|
| Duration: |
10:49 |
Outcome & Benefits
| Time Savings: |
High |
|---|---|
| Cost Reduction: |
Moderate |
| Accuracy: |
High |
| Productivity: |
Faster updates |
Industry & Function
| Function: |
Patient data sync |
|---|---|
| System Type: |
Healthcare Integration Workflow |
| Industry: |
Healthcare |
Functional Details
| Use Case Type: |
Clinical Data Integration |
|---|---|
| Source Object: |
Patient |
| Target Object: |
Patient |
| Scheduling: |
Near real-time |
| Primary Users: |
Healthcare IT |
| KPI Improved: |
Data Accuracy |
| AI/ML Step: |
Not required |
| Scalability Tier: |
Enterprise |
Technical Details
| Source Type: |
Database |
|---|---|
| Source Name: |
Patient Tables |
| API Endpoint URL: |
OpenEHR REST API |
| HTTP Method: |
POST |
| Auth Type: |
OAuth 2.0 |
| Rate Limit: |
API based |
| Pagination: |
Supported |
| Schema/Objects: |
Patient demographics |
| Transformation Ops: |
Schema mapping |
| Error Handling: |
Log and retry |
| Orchestration Trigger: |
Scheduled/Real-time |
| Batch Size: |
Configurable |
| Parallelism: |
Supported |
| Target Type: |
EHR System |
| Target Name: |
OpenEHR |
| Target Method: |
REST API |
| Ack Handling: |
Response logged |
| Throughput: |
Thousands of records |
| Latency: |
Seconds |
| Logging/Monitoring: |
Sync logs |
Connectivity & Deployment
| On-Premise Supported: |
Yes |
|---|---|
| Supported Protocols: |
HTTPS |
| Cloud Support: |
Hybrid |
| Security & Compliance: |
HIPAA compliant |
FAQ
1. What is the Database to OpenEHR Patient integration workflow?
It is an automated healthcare integration workflow that synchronizes patient records from a database into OpenEHR to ensure accurate and consistent patient information.
2. What patient data is synced to OpenEHR?
The workflow syncs patient demographics, identifiers, contact details, medical history, and other relevant patient records.
3. How does the patient data sync process work?
The workflow extracts patient records from the database, maps them to OpenEHR patient templates, validates the data, and updates OpenEHR automatically.
4. How frequently can patient data be synchronized?
Patient data can be synced in real-time, near real-time, or on a scheduled basis depending on clinical and IT requirements.
5. What happens if a patient record fails to sync?
The workflow logs errors, retries automatically, and notifies health IT teams for manual intervention if required.
6. Who uses this workflow?
Clinical IT teams and healthcare operations staff use this workflow to maintain accurate and consistent patient records in OpenEHR.
7. What are the benefits of automating patient data sync?
Automation ensures accurate patient records, reduces manual entry errors, maintains data consistency, and supports better clinical decision-making.
8. What system type does this workflow belong to?
This is a healthcare integration workflow designed to synchronize patient records from databases to OpenEHR automatically.
Case Study
| Customer Name: |
Healthcare Providers |
|---|---|
| Problem: |
Data silos |
| Solution: |
Automated EHR integration |
| ROI: |
Better care efficiency |
| Industry: |
Healthcare |
| Outcome: |
Updated patient records in OpenEHR |


