EMR Integration Sandbox Overview

The EMR Integration Sandbox provides a production-like environment that simulates the Next Generation Electronic Medical Record (NGEMR) — Singapore’s national Electronic Medical Record platform built on the Epic EMR system and used across public healthcare institutions of Singapore. NGEMR serves as the backbone for safe, seamless, and coordinated patient care.

The sandbox enables innovators to explore, test, and validate integrations safely before connecting to the live NGEMR environment. It allows innovators to:
• Experiment and test integrations without risk to live operations.
• Validate and refine solutions early using test/synthetic data and realistic clinical workflows.
• Accelerate readiness for NGEMR integration, reducing rework and delays.

By bridging the gap between innovation and adoption, the EMR Integration Sandbox helps ideas move faster, safer, and more effectively into Singapore’s healthcare ecosystem.

Please note that while the sandbox simulates NGEMR for realistic testing, it does not guarantee production readiness, as integration with NGEMR in production may still require further reviews and alignment with operational and compliance standards.

Purpose

The EMR Integration Sandbox is designed to:
• Provide an overview of NGEMR and the pathway to integrate with it.
• Offer a realistic EMR environment that simulates NGEMR for safe integration testing.
• Enable innovators to trial solutions with production-like interfaces, building confidence before engaging the live system.

Playbook on EMR integration

This playbook serves as a practical guide for innovators, outlining the steps to move from idea to production:
1. Introduction to NGEMR – Understanding the national EMR system and its importance.
2. Testing integration in Sandbox – Hands-on testing with preloaded data and standardized protocols (HL7, FHIR).
3. Integration using Epic APIs – Practical pathways using both open and vendor-supported services.
4. Integration with NGEMR in Production – Considerations, processes, and case studies for scaling into the real EMR environment.