First openEHR Archetype Published by Hearing4all.connects Members
We are pleased to announce the publication of the first openEHR archetype developed by members of Hearing4all.connects: “Categorical Loudness Scaling,” now available in the international Clinical Knowledge Manager (CKM).
The archetype was modelled within the framework of the EFAS working group “Data Formats for Big Data Audiology” and led by Dr. Lena Schell-Majoor from the University of Oldenburg. It represents the first standardized data model for an audiological test in the openEHR framework and provides a foundation for improved documentation, interoperability, and data reuse.
Lena Schell-Majoor is a postdoctoral researcher and science manager in the Cluster of Excellence Hearing4all. Her research focuses on web-based psychoacoustics, mobile hearing health, and data-driven audiology.
OpenEHR archetypes describe clinical concepts in a structured and comprehensive way, including all relevant data and metadata required for research and clinical use. By enabling harmonized data formats, they support cross-institutional collaboration and facilitate large-scale data analysis in audiology.
The development process involved collaboration among researchers from several European institutions and an extensive community review, ensuring broad expertise and international perspectives.
Following this first publication, two additional archetypes are currently close to community review. In parallel, Hearing4all.connects is working on a complete data transformation pipeline and the development of an open data space for audiology as part of its third funding phase.
This milestone marks an important step toward sustainable, standardized, and shareable audiological data for research and clinical practice.
