2013
DOI: 10.1186/2047-2501-1-9
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Enabling flexible integration of healthcare information using the entity-attribute-value storage model

Abstract: BackgroundFor an optimal care of patients in home healthcare, it is essential to exchange healthcare-related information with other stakeholders. Unfortunately, paper-based documentation procedures as well as the heterogeneity between information systems inhibit a well-regulated communication. Therefore, a digital patient care record is introduced to establish the foundation for integrating healthcare-related information.MethodsFor the digital patient care record, suitable integration techniques are required t… Show more

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Cited by 11 publications
(9 citation statements)
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“…D'un point de vue logique, les modèles de données, qu'ils soient relationnels ou objet, peuvent être traduits dans le modèle EAV. Il est considéré comme suffisamment flexible pour modéliser des données biomédicales (Nadkarni et al, 1999 ;Löper et al, 2013 ;Khan et al, 2014). Nous avons donc structuré l'ontologie au travers du prisme du modèle EAV et nous avons choisi de représenter explicitement sous forme de classes/concepts les trois éléments du modèle EAV, les entités, les attributs et les valeurs.…”
Section: Représentation Ontologique Du Modèle De Données Eavunclassified
“…D'un point de vue logique, les modèles de données, qu'ils soient relationnels ou objet, peuvent être traduits dans le modèle EAV. Il est considéré comme suffisamment flexible pour modéliser des données biomédicales (Nadkarni et al, 1999 ;Löper et al, 2013 ;Khan et al, 2014). Nous avons donc structuré l'ontologie au travers du prisme du modèle EAV et nous avons choisi de représenter explicitement sous forme de classes/concepts les trois éléments du modèle EAV, les entités, les attributs et les valeurs.…”
Section: Représentation Ontologique Du Modèle De Données Eavunclassified
“…With a few exceptions [29,44,45], the database performance (i.e. query speed, accuracy and throughput) and data usability (i.e.…”
Section: Unsolved Database System Performance and Data Usability Issuesmentioning
confidence: 99%
“…In biomedical data capture and archiving practice, both RDBMS and NoSQL DBMS have been used to build database tools [28,34,38,[60][61][62]. In the RDBMS environment, a particular data structure, EAV, has been a popular strategy to 'boost' database flexibility [24,28,29,45,61]. However, researchers and users soon noticed system performance and data usability problems [29,[63][64][65].…”
Section: The Impact and The Root Cause Of Data Pain Pointsmentioning
confidence: 99%
“…By deploying applications with these tools, small laboratories could maintain and process the large-scale datasets within affordable costs, which is increasingly thorny even for large institutes. For example, BioVLab infrastructure [ 28 , 36 ] built on the cloud is developed for genome analysis by utilizing the virtual collaborative lab , a suite of tools that allow scientists to orchestrate a sequence of data analysis tasks using remote computing resources and data storage facilities on demand from local devices. Furthermore, the Crossbow [ 21 ] genotyping program applies the MapReduce workflow on Hadoop to launch many copies of the short-read aligner Bowtie [ 20 ] in parallel.…”
Section: Translational Biomedical Science In the Cloudmentioning
confidence: 99%