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Related Experiment Video

Updated: Jul 7, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

International developments in openEHR archetypes and templates.

Heather Leslie¹

¹Ocean Informatics Pty Ltd, 214 Victoria Avenue, Chatswood NSW 2067, AUSTRALIA. heather.leslie@oceaninformatics.com

Health Information Management : Journal of the Health Information Management Association of Australia

|February 5, 2008

Summary

This study explored using openEHR archetypes and templates to create adaptable Electronic Health Records (EHRs). The approach demonstrated potential for a logical clinical record architecture and shareable EHRs.

Related Experiment Videos

Last Updated: Jul 7, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

Health Informatics
Clinical Informatics
Healthcare Technology

Background:

Electronic Health Records (EHRs) present challenges in managing evolving health knowledge and interoperability.
Existing EHR systems struggle with adaptability and data sharing across different clinical contexts.

Purpose of the Study:

To test the applicability of the CEN 13606 standard for EHRs using openEHR archetypes.
To define a logical clinical record architecture for the National Health Service (NHS).
To explore the potential for creating shareable EHRs through a standardized archetype-based approach.

Main Methods:

Utilized openEHR archetypes and tools to develop 650 clinical content specifications.
Aggregated archetypes into templates to support specific clinical information gathering and viewing tasks.
Created over 60 templates for diverse clinical scenarios including emergency, antenatal care, and pediatric assessments.

Main Results:

Successfully created and reused 650 archetypes across various clinical specialties and contexts.
Developed over 60 templates demonstrating the flexibility of the archetype model.
Showcased the feasibility of using archetypes as a foundation for a logical clinical record architecture.

Conclusions:

The openEHR archetype and template approach shows promise for developing adaptable and potentially shareable Electronic Health Records.
This methodology can support the creation of a unified clinical record architecture for the NHS.
Ongoing development and evaluation are crucial for realizing the full potential of this EHR standard.