Plug-and-play Integration of dual-model based Knowledge Artefacts into an Open Source Ehr System

Area of Science:

• Health Informatics
• Electronic Health Records (EHR)

Background:

• OpenMRS is a widely used open-source EHR system.
• Archetype-based data management in EHRs presents challenges, particularly with optionality.
• Standardized data export is crucial for interoperability.

Purpose of the Study:

• To extend an existing approach for archetype-compliant data collection and export in OpenMRS.
• To leverage openEHR specifications and templates for improved EHR data management.
• To address limitations of previous archetype-based methods in OpenMRS.

Main Methods:

• Extending an existing data management approach within OpenMRS.
• Implementing openEHR specifications for data archetypes and templates.
• Utilizing automatically generated forms from openEHR templates for data entry.
• Exporting entered data as standardized EHR extracts.

Main Results:

• Successful extension of an archetype-compliant data collection and export system.
• Automatic generation of forms from openEHR templates.
• Standardized EHR data extracts generated from form entries.
• Resolution of data management issues caused by high optionality in archetypes.

Conclusions:

• The extended approach effectively supports archetype-compliant data management in OpenMRS.
• openEHR templates offer a viable solution to challenges posed by archetype optionality.
• The system facilitates standardized EHR data export, enhancing interoperability.