Enrichment of archetypes with domain knowledge to enhance the consistency of electronic health records
- Autores: Vicente Miguel Giménez Solano
- Directores de la Tesis: José Alberto Maldonado Segura (dir. tes.), Vicente Traver Salcedo (dir. tes.), M. Robles (dir. tes.)
- Lectura: En la Universitat Politècnica de València ( España ) en 2021
- Idioma: español
- Tribunal Calificador de la Tesis: Xavier Pastor Durán (presid.), Alberto Moreno Conde (secret.), R. Lozano Rubi (voc.)
- Programa de doctorado: Programa de Doctorado en Tecnologías para la Salud y el Bienestar por la Universitat Politècnica de València
- Materias:
- Enlaces
- Tesis en acceso abierto en: RiuNet
- Resumen
Consistency of EHR data, as a dimension of quality, is considered an essential requirement to the improvement of healthcare delivery, clinical decision-making processes, and the promotion of clinical research. In this context, cooperation between information and domain models has been considered essential in the literature, but it has not been adequately addressed by the scientific community to date.
The main contribution of this thesis is the development of methods and tools for the inclusion of terminology binding expressions in consistency rules. Specific contributions are: - Definition of a method to execute ECs over a SNOMED CT graph-oriented database.
- Definition of methods to simplify ECs before and after its execution and semantic validation according to the SNOMED CT Machine Readable Concept Model (MRCM).
- Definition of a method to visualize, dynamically explore, understand and validate SNOMED CT subsets.
- Development of SNQuery, an execution platform that executes, simplifies and validates ECs, and visualizes the resulting subsets.
- Definition of EHRules, an expression language based on the openEHR Expression Language for the specification of consistency expressions in archetypes, including value set bindings, in order to enrich archetypes with domain knowledge.
- Definition of a method to execute EHRules expressions in order to validate the consistency of EHR data by executing such rules over patient data instances.
Our objective is that these contributions help to enhance the quality of EHR, as they provide methods and tools for the validation and enhancement of the EHR data consistency. We also intend, by defining value set bindings between information models and clinical terminologies, to raise the level of semantic interoperability, for which the definition of terminological bindings is crucial.
