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

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 – 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