Abstract
Background and Objectives. The Assistance Publique Hopitaux de Paris (Public hospital of Paris and its suburbs; APHP) developed a biology dictionary independent from laboratory management systems (LMS). This dictionary is interfaced with the international nomenclature Logical Observation Identifiers Names and Codes (LOINC), and developed in collaboration with experts from all biological disciplines. We aim to establish a platform for publishing and maintaining the APHP laboratory data dictionary, which can satisfy both the requirements concerning the controlled vocabulary and those related to maintenance processes and distribution. Material and Methods. Data complexity and data volume show the need to establish a platform dedicated to the terminology management. This replaces the use of a spreadsheet tool that might show weaknesses. After describing the dictionary, we identify requirements for the nomenclature management, and the inadequacy of existing software. Our method is based on the design of a OWL hub meta-model supervising organization systems. Results. We describe how the modeling, data migration and integration/verification steps in the new tool were used to meet these requirements. The core of our work is based on the modeling effort which integrates multiple dimensions: (i) interoperability regarding data exchange standards, and (ii) dictionary evolution. This model has been implemented in the APHP context. Structuring data representation has led to a significant data quality improvement.
| Original language | English |
|---|---|
| Pages (from-to) | 276-278 |
| Number of pages | 3 |
| Journal | CEUR Workshop Proceedings |
| Volume | 833 |
| State | Published - 2011 |
| Externally published | Yes |
| Event | 2nd International Conference on Biomedical Ontology, ICBO 2011 - Buffalo, NY, United States Duration: Jul 26 2011 → Jul 30 2011 |