Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters

Database
Language
Affiliation country
Publication year range
1.
Article in English | MEDLINE | ID: mdl-25954572

ABSTRACT

Integration profiles collaboratively developed by CDISC and IHE for integrating data from Electronic Health Records (EHRs) with clinical research and pharmacovigilance are limited to resolving lexical/syntactic data integration issues and do not address semantic barriers. This paper describes the collaboration between two European projects - EHR4CR and SALUS - in implementing ISO/IEC 11179-based metadata registries (MDRs) and semantically integrated cross-platform data access. A common "semantic MDR" provides a framework for bidirectional/cross-MDR mapping and federated queries are enabled using the newly-defined IHE Data Exchange (DEX) profile. In the pilot implementation, mappings for 178 EHR4CR and 199 SALUS metadata elements were persisted in the semantic MDR. The DEX profile was then used to access semantically equivalent data elements in SALUS or EHR4CR participating EHR systems. ISO/IEC 11179-based MDRs and DEX integration profile address the goal of developing pan-EU computable semantic integration of data from clinical care, clinical research, and patient safety platforms.

2.
Stud Health Technol Inform ; 205: 594-8, 2014.
Article in English | MEDLINE | ID: mdl-25160255

ABSTRACT

Use of medical terminologies and mappings across them are considered to be crucial pre-requisites for achieving interoperable eHealth applications. Built upon the outcomes of several research projects, we introduce a framework for evaluating and utilizing terminology mappings that offers a platform for i) performing various mappings strategies, ii) representing terminology mappings together with their provenance information, and iii) enabling terminology reasoning for inferring both new and erroneous mappings. We present the results of the introduced framework from SALUS project where we evaluated the quality of both existing and inferred terminology mappings among standard terminologies.


Subject(s)
Algorithms , Documentation/standards , Guidelines as Topic , Natural Language Processing , Quality Assurance, Health Care/methods , Terminology as Topic , Vocabulary, Controlled , Quality Assurance, Health Care/standards , Semantics
SELECTION OF CITATIONS
SEARCH DETAIL