How to Automatically Build a Patient 360 View from openEHR into a Database

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Workflow Name:

EHR Integration: OpenEHR → Database Patient 360 Sync
Purpose:

Build patient 360 in database
Benefit:

Unified patient view
Who Uses It:

Clinicians; Analytics Teams
System Type:

EHR Integration Workflow
On-Premise Supported:

Yes
Industry:

Healthcare
Outcome:

Unified patient view
Category:

Description

Problem Before:

Patient data spread across systems
Solution Overview:

Consolidate patient data from OpenEHR
Key Features:

Data aggregation; mapping
Business Impact:

Better clinical decisions
Productivity Gain:

Faster insights
Cost Savings:

Less manual analysis
Security & Compliance:

HIPAA compliant

EHR Integration – OpenEHR to Database (Patient 360)

This workflow enables OpenEHR Patient 360 by consolidating patient data from OpenEHR into a centralized database. It creates a unified and comprehensive patient view that supports clinical insights and data-driven decision-making.

Automated Patient 360 Data Sync for Unified Care Visibility

The system retrieves patient demographics, clinical records, and related data from OpenEHR, validates them, and builds a complete patient profile in the database. This workflow helps clinicians and analytics teams gain a holistic view of patients, reduce data silos, and improve care coordination.

Watch Demo

Video Title:

Integrating eMDs EHR Patient Immunization details to Database
Duration:

07:16

Outcome & Benefits

Time Savings:

Faster reporting
Cost Reduction:

Lower analysis effort
Accuracy:

High
Productivity:

Improved insights

Industry & Function

Function:

Data Consolidation
System Type:

EHR Integration Workflow
Industry:

Healthcare

Functional Details

Use Case Type:

EHR Integration
Source Object:

Patient 360 Data
Target Object:

Patient 360 Tables
Scheduling:

Batch
Primary Users:

Analytics Teams
KPI Improved:

Data completeness
AI/ML Step:

Optional analytics
Scalability Tier:

Enterprise

Technical Details

Source Type:

EHR
Source Name:

OpenEHR
API Endpoint URL:

OpenEHR REST API
HTTP Method:

GET
Auth Type:

OAuth 2.0
Rate Limit:

Configured
Pagination:

Supported
Schema/Objects:

Patient; visits; insurance
Transformation Ops:

Normalization and mapping
Error Handling:

Log and retry
Orchestration Trigger:

Scheduled sync
Batch Size:

Configurable
Parallelism:

Supported
Target Type:

Database
Target Name:

Patient 360 Database
Target Method:

DB insert/update
Ack Handling:

DB response logged
Throughput:

High volume
Latency:

Seconds
Logging/Monitoring:

Audit logs

Connectivity & Deployment

On-Premise Supported:

Yes
Supported Protocols:

HTTPS
Cloud Support:

Hybrid
Security & Compliance:

HIPAA compliant

FAQ

1. What is the OpenEHR to Database Patient 360 integration workflow?

It is an automated EHR integration workflow that consolidates patient data from OpenEHR into a database to build a comprehensive Patient 360 view.

2. What does Patient 360 mean in this workflow?

Patient 360 provides a unified view of patient information by combining demographics, clinical data, encounters, observations, and related records into a single database.

3. What types of data are included in the Patient 360 build?

The workflow includes patient demographics, clinical observations, encounters, diagnoses, care plans, and other relevant EHR data available in OpenEHR.

4. How does the Patient 360 data sync work?

The workflow extracts patient-related data from OpenEHR, applies data mapping and transformation, and loads it into a database to maintain a unified patient profile.

5. How often is Patient 360 data updated?

Patient 360 data can be updated in real time, near real time, or on a scheduled basis depending on analytics and clinical requirements.

6. Who uses the Patient 360 data?

Clinicians use it for better care context, while analytics teams use it for reporting, population health insights, and advanced analytics.

7. What are the benefits of building Patient 360 in a database?

It enables a unified patient view, improves data accessibility, supports analytics and reporting, and enhances clinical and operational decision-making.

8. What system type does this workflow belong to?

This workflow is part of an EHR integration workflow designed to centralize OpenEHR patient data into a database.

Case Study

Customer Name:

Healthcare Provider
Problem:

Fragmented patient data
Solution:

Patient 360 automation
ROI:

Better care outcomes
Industry:

Healthcare
Outcome:

Unified patient view

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