FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2153346721> ?p ?o ?g. }

• W2153346721 endingPage "187" @default.
• W2153346721 startingPage "174" @default.
• W2153346721 abstract "This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastructure. OpenEHR is a dual model approach developed for the modelling of Hospital Information Systems enabling semantic interoperability. A holistic solution to this represents the use of dual model based Electronic Healthcare Record systems. Modelling data in the field of obstetrics is a challenge, since different regions demand locally specific information for the process of treatment. Smaller health units in developing countries like Brazil or Malaysia, which until recently handled automatable processes like the storage of sensitive patient data in paper form, start organizational reconstruction processes. This archetype proof-of-concept investigation has tried out some elements of the openEHR methodology in cooperation with a health unit in Colombo, Brazil. Two legal forms provided by the Brazilian Ministry of Health have been analyzed and classified into demographic and clinical data. LinkEHR-Ed editor was used to read, edit and create archetypes. Results show that 33 clinical and demographic concepts, which are necessary to cover data demanded by the Unified National Health System, were identified. Out of the concepts 61% were reused and 39% modified to cover domain requirements. The detailed process of reuse, modification and creation of archetypes is shown. We conclude that, although a major part of demographic and clinical patient data were already represented by existing archetypes, a significant part required major modifications. In this study openEHR proved to be a highly suitable tool in the modelling of complex health data. In combination with LinkEHR-Ed software it offers user-friendly and highly applicable tools, although the complexity built by the vast specifications requires expert networks to define generally excepted clinical models. Finally, this project has pointed out main benefits enclosing high coverage of obstetrics data on the Clinical Knowledge Manager, simple modelling, and wide network and support using openEHR. Moreover, barriers described are enclosing the allocation of clinical content to respective archetypes, as well as stagnant adaption of changes on the Clinical Knowledge Manager leading to redundant efforts in data contribution that need to be addressed in future works." @default.
• W2153346721 created "2016-06-24" @default.
• W2153346721 creator A5001786914 @default.
• W2153346721 creator A5007206239 @default.
• W2153346721 creator A5010293537 @default.
• W2153346721 creator A5015233908 @default.
• W2153346721 creator A5033537134 @default.
• W2153346721 creator A5061575540 @default.
• W2153346721 creator A5076763828 @default.
• W2153346721 creator A5077738785 @default.
• W2153346721 date "2015-06-01" @default.
• W2153346721 modified "2023-10-03" @default.
• W2153346721 title "Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics" @default.
• W2153346721 cites W100602210 @default.
• W2153346721 cites W1526809015 @default.
• W2153346721 cites W1970133976 @default.
• W2153346721 cites W1974308864 @default.
• W2153346721 cites W1980928239 @default.
• W2153346721 cites W1981732549 @default.
• W2153346721 cites W1987534653 @default.
• W2153346721 cites W1991798042 @default.
• W2153346721 cites W1994677645 @default.
• W2153346721 cites W2004965914 @default.
• W2153346721 cites W2022409290 @default.
• W2153346721 cites W2034191625 @default.
• W2153346721 cites W2035559851 @default.
• W2153346721 cites W2036448803 @default.
• W2153346721 cites W2036623671 @default.
• W2153346721 cites W2040593676 @default.
• W2153346721 cites W2047363478 @default.
• W2153346721 cites W2051206026 @default.
• W2153346721 cites W2058924226 @default.
• W2153346721 cites W2073924861 @default.
• W2153346721 cites W2075688282 @default.
• W2153346721 cites W2077731799 @default.
• W2153346721 cites W2085500253 @default.
• W2153346721 cites W2086619351 @default.
• W2153346721 cites W2095047228 @default.
• W2153346721 cites W2097888328 @default.
• W2153346721 cites W2100320843 @default.
• W2153346721 cites W2102333765 @default.
• W2153346721 cites W2103818396 @default.
• W2153346721 cites W2106402168 @default.
• W2153346721 cites W2116357674 @default.
• W2153346721 cites W2118014460 @default.
• W2153346721 cites W2123623348 @default.
• W2153346721 cites W2126880204 @default.
• W2153346721 cites W2142433840 @default.
• W2153346721 cites W2150217040 @default.
• W2153346721 cites W2159379580 @default.
• W2153346721 cites W2160722021 @default.
• W2153346721 cites W2161015626 @default.
• W2153346721 cites W2161738429 @default.
• W2153346721 cites W2162083293 @default.
• W2153346721 cites W2162949830 @default.
• W2153346721 cites W2164871769 @default.
• W2153346721 cites W2166418327 @default.
• W2153346721 cites W2481606194 @default.
• W2153346721 cites W86791416 @default.
• W2153346721 doi "https://doi.org/10.1016/j.jbi.2015.04.004" @default.
• W2153346721 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25900270" @default.
• W2153346721 hasPublicationYear "2015" @default.
• W2153346721 type Work @default.
• W2153346721 sameAs 2153346721 @default.
• W2153346721 citedByCount "43" @default.
• W2153346721 countsByYear W21533467212015 @default.
• W2153346721 countsByYear W21533467212016 @default.
• W2153346721 countsByYear W21533467212017 @default.
• W2153346721 countsByYear W21533467212018 @default.
• W2153346721 countsByYear W21533467212019 @default.
• W2153346721 countsByYear W21533467212020 @default.
• W2153346721 countsByYear W21533467212021 @default.
• W2153346721 countsByYear W21533467212022 @default.
• W2153346721 countsByYear W21533467212023 @default.
• W2153346721 crossrefType "journal-article" @default.
• W2153346721 hasAuthorship W2153346721A5001786914 @default.
• W2153346721 hasAuthorship W2153346721A5007206239 @default.
• W2153346721 hasAuthorship W2153346721A5010293537 @default.
• W2153346721 hasAuthorship W2153346721A5015233908 @default.
• W2153346721 hasAuthorship W2153346721A5033537134 @default.
• W2153346721 hasAuthorship W2153346721A5061575540 @default.
• W2153346721 hasAuthorship W2153346721A5076763828 @default.
• W2153346721 hasAuthorship W2153346721A5077738785 @default.
• W2153346721 hasBestOaLocation W21533467211 @default.
• W2153346721 hasConcept C100463513 @default.
• W2153346721 hasConcept C111919701 @default.
• W2153346721 hasConcept C124952713 @default.
• W2153346721 hasConcept C136764020 @default.
• W2153346721 hasConcept C142362112 @default.
• W2153346721 hasConcept C154945302 @default.
• W2153346721 hasConcept C192800085 @default.
• W2153346721 hasConcept C20136886 @default.
• W2153346721 hasConcept C2522767166 @default.
• W2153346721 hasConcept C41008148 @default.
• W2153346721 hasConcept C49848784 @default.
• W2153346721 hasConcept C56739046 @default.
• W2153346721 hasConcept C98045186 @default.
• W2153346721 hasConceptScore W2153346721C100463513 @default.

• next