FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080454474> ?p ?o ?g. }

• W2080454474 endingPage "226" @default.
• W2080454474 startingPage "205" @default.
• W2080454474 abstract "The purpose of this study is to investigate the feasibility of applying the openEHR archetype approach to modelling the data in the database of an existing proprietary biobank information management system. A biobank information management system stores the clinical/phenotypic data of the sample donor and sample related information. The clinical/phenotypic data is potentially sourced from the donor's electronic health record (EHR). The study evaluates the reuse of openEHR archetypes that have been developed for the creation of an interoperable EHR in the context of biobanking, and proposes a new set of archetypes specifically for biobanks. The ultimate goal of the research is the development of an interoperable electronic biomedical research record (eBMRR) to support biomedical knowledge discovery. The database of the prostate cancer biobank of the Irish Prostate Cancer Research Consortium (PCRC), which supports the identification of novel biomarkers for prostate cancer, was taken as the basis for the modelling effort. First the database schema of the biobank was analyzed and reorganized into archetype-friendly concepts. Then, archetype repositories were searched for matching archetypes. Some existing archetypes were reused without change, some were modified or specialized, and new archetypes were developed where needed. The fields of the biobank database schema were then mapped to the elements in the archetypes. Finally, the archetypes were arranged into templates specifically to meet the requirements of the PCRC biobank. A set of 47 archetypes was found to cover all the concepts used in the biobank. Of these, 29 (62%) were reused without change, 6 were modified and/or extended, 1 was specialized, and 11 were newly defined. These archetypes were arranged into 8 templates specifically required for this biobank. A number of issues were encountered in this research. Some arose from the immaturity of the archetype approach, such as immature modelling support tools, difficulties in defining high-quality archetypes and the problem of overlapping archetypes. In addition, the identification of suitable existing archetypes was time-consuming and many semantic conflicts were encountered during the process of mapping the PCRC BIMS database to existing archetypes. These include differences in the granularity of documentation, in metadata-level versus data-level modelling, in terminologies and vocabularies used, and in the amount of structure imposed on the information to be recorded. Furthermore, the current way of modelling the sample entity was found to be cumbersome in the sample-centric activity of biobanking. The archetype approach is a promising approach to create a shareable eBMRR based on the study participant/donor for biobanks. Many archetypes originally developed for the EHR domain can be reused to model the clinical/phenotypic and sample information in the biobank context, which validates the genericity of these archetypes and their potential for reuse in the context of biomedical research. However, finding suitable archetypes in the repositories and establishing an exact mapping between the fields in the PCRC BIMS database and the elements of existing archetypes that have been designed for clinical practice can be challenging and time-consuming and involves resolving many common system integration conflicts. These may be attributable to differences in the requirements for information documentation between clinical practice and biobanking. This research also recognized the need for better support tools, modelling guidelines and best practice rules and reconfirmed the need for better domain knowledge governance. Furthermore, the authors propose that the establishment of an independent sample record with the sample as record subject should be investigated. The research presented in this paper is limited by the fact that the new archetypes developed during this research are based on a single biobank instance. These new archetypes may not be complete, representing only those subsets of items required by this particular database. Nevertheless, this exercise exposes some of the gaps that exist in the archetype modelling landscape and highlights the concepts that need to be modelled with archetypes to enable the development of an eBMRR." @default.
• W2080454474 created "2016-06-24" @default.
• W2080454474 creator A5038968698 @default.
• W2080454474 creator A5082032132 @default.
• W2080454474 date "2011-03-01" @default.
• W2080454474 modified "2023-10-17" @default.
• W2080454474 title "Applying the archetype approach to the database of a biobank information management system" @default.
• W2080454474 cites W1582774629 @default.
• W2080454474 cites W1587800983 @default.
• W2080454474 cites W1634430879 @default.
• W2080454474 cites W177117832 @default.
• W2080454474 cites W1964467288 @default.
• W2080454474 cites W1970010470 @default.
• W2080454474 cites W1971087821 @default.
• W2080454474 cites W1975679057 @default.
• W2080454474 cites W1975843337 @default.
• W2080454474 cites W1976038582 @default.
• W2080454474 cites W1985573737 @default.
• W2080454474 cites W1991007515 @default.
• W2080454474 cites W1994723621 @default.
• W2080454474 cites W1995618284 @default.
• W2080454474 cites W1995645942 @default.
• W2080454474 cites W200620427 @default.
• W2080454474 cites W2023886918 @default.
• W2080454474 cites W2027838229 @default.
• W2080454474 cites W2030785223 @default.
• W2080454474 cites W2047363478 @default.
• W2080454474 cites W2053031324 @default.
• W2080454474 cites W2053498449 @default.
• W2080454474 cites W2082180354 @default.
• W2080454474 cites W2087363033 @default.
• W2080454474 cites W2098524941 @default.
• W2080454474 cites W2106779926 @default.
• W2080454474 cites W2121745450 @default.
• W2080454474 cites W2125260686 @default.
• W2080454474 cites W2135006741 @default.
• W2080454474 cites W2135259419 @default.
• W2080454474 cites W2141690712 @default.
• W2080454474 cites W2146089916 @default.
• W2080454474 cites W2168300089 @default.
• W2080454474 cites W2171141158 @default.
• W2080454474 cites W2917830342 @default.
• W2080454474 cites W4244922834 @default.
• W2080454474 cites W7126071 @default.
• W2080454474 doi "https://doi.org/10.1016/j.ijmedinf.2010.11.002" @default.
• W2080454474 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21131230" @default.
• W2080454474 hasPublicationYear "2011" @default.
• W2080454474 type Work @default.
• W2080454474 sameAs 2080454474 @default.
• W2080454474 citedByCount "46" @default.
• W2080454474 countsByYear W20804544742012 @default.
• W2080454474 countsByYear W20804544742013 @default.
• W2080454474 countsByYear W20804544742014 @default.
• W2080454474 countsByYear W20804544742015 @default.
• W2080454474 countsByYear W20804544742016 @default.
• W2080454474 countsByYear W20804544742017 @default.
• W2080454474 countsByYear W20804544742018 @default.
• W2080454474 countsByYear W20804544742019 @default.
• W2080454474 countsByYear W20804544742020 @default.
• W2080454474 countsByYear W20804544742022 @default.
• W2080454474 countsByYear W20804544742023 @default.
• W2080454474 crossrefType "journal-article" @default.
• W2080454474 hasAuthorship W2080454474A5038968698 @default.
• W2080454474 hasAuthorship W2080454474A5082032132 @default.
• W2080454474 hasConcept C116567970 @default.
• W2080454474 hasConcept C124952713 @default.
• W2080454474 hasConcept C136764020 @default.
• W2080454474 hasConcept C142362112 @default.
• W2080454474 hasConcept C192800085 @default.
• W2080454474 hasConcept C20136886 @default.
• W2080454474 hasConcept C2522767166 @default.
• W2080454474 hasConcept C41008148 @default.
• W2080454474 hasConcept C49848784 @default.
• W2080454474 hasConcept C56739046 @default.
• W2080454474 hasConcept C60644358 @default.
• W2080454474 hasConcept C77088390 @default.
• W2080454474 hasConcept C86803240 @default.
• W2080454474 hasConceptScore W2080454474C116567970 @default.
• W2080454474 hasConceptScore W2080454474C124952713 @default.
• W2080454474 hasConceptScore W2080454474C136764020 @default.
• W2080454474 hasConceptScore W2080454474C142362112 @default.
• W2080454474 hasConceptScore W2080454474C192800085 @default.
• W2080454474 hasConceptScore W2080454474C20136886 @default.
• W2080454474 hasConceptScore W2080454474C2522767166 @default.
• W2080454474 hasConceptScore W2080454474C41008148 @default.
• W2080454474 hasConceptScore W2080454474C49848784 @default.
• W2080454474 hasConceptScore W2080454474C56739046 @default.
• W2080454474 hasConceptScore W2080454474C60644358 @default.
• W2080454474 hasConceptScore W2080454474C77088390 @default.
• W2080454474 hasConceptScore W2080454474C86803240 @default.
• W2080454474 hasIssue "3" @default.
• W2080454474 hasLocation W20804544741 @default.
• W2080454474 hasLocation W20804544742 @default.
• W2080454474 hasOpenAccess W2080454474 @default.
• W2080454474 hasPrimaryLocation W20804544741 @default.
• W2080454474 hasRelatedWork W2157800466 @default.
• W2080454474 hasRelatedWork W2355850745 @default.
• W2080454474 hasRelatedWork W2388051831 @default.

• next