Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019915143> ?p ?o ?g. }
- W2019915143 endingPage "e16" @default.
- W2019915143 startingPage "e16" @default.
- W2019915143 abstract "Virtual patients are interactive computer simulations that are increasingly used as learning activities in modern health care education, especially in teaching clinical decision making. A key challenge is how to retrieve and repurpose virtual patients as unique types of educational resources between different platforms because of the lack of standardized content-retrieving and repurposing mechanisms. Semantic Web technologies provide the capability, through structured information, for easy retrieval, reuse, repurposing, and exchange of virtual patients between different systems.An attempt to address this challenge has been made through the mEducator Best Practice Network, which provisioned frameworks for the discovery, retrieval, sharing, and reuse of medical educational resources. We have extended the OpenLabyrinth virtual patient authoring and deployment platform to facilitate the repurposing and retrieval of existing virtual patient material.A standalone Web distribution and Web interface, which contains an extension for the OpenLabyrinth virtual patient authoring system, was implemented. This extension was designed to semantically annotate virtual patients to facilitate intelligent searches, complex queries, and easy exchange between institutions. The OpenLabyrinth extension enables OpenLabyrinth authors to integrate and share virtual patient case metadata within the mEducator3.0 network. Evaluation included 3 successive steps: (1) expert reviews; (2) evaluation of the ability of health care professionals and medical students to create, share, and exchange virtual patients through specific scenarios in extended OpenLabyrinth (OLabX); and (3) evaluation of the repurposed learning objects that emerged from the procedure.We evaluated 30 repurposed virtual patient cases. The evaluation, with a total of 98 participants, demonstrated the system's main strength: the core repurposing capacity. The extensive metadata schema presentation facilitated user exploration and filtering of resources. Usability weaknesses were primarily related to standard computer applications' ease of use provisions. Most evaluators provided positive feedback regarding educational experiences on both content and system usability. Evaluation results replicated across several independent evaluation events.The OpenLabyrinth extension, as part of the semantic mEducator3.0 approach, is a virtual patient sharing approach that builds on a collection of Semantic Web services and federates existing sources of clinical and educational data. It is an effective sharing tool for virtual patients and has been merged into the next version of the app (OpenLabyrinth 3.3). Such tool extensions may enhance the medical education arsenal with capacities of creating simulation/game-based learning episodes, massive open online courses, curricular transformations, and a future robust infrastructure for enabling mobile learning." @default.
- W2019915143 created "2016-06-24" @default.
- W2019915143 creator A5001518232 @default.
- W2019915143 creator A5028058284 @default.
- W2019915143 creator A5044079971 @default.
- W2019915143 creator A5058926112 @default.
- W2019915143 creator A5061465302 @default.
- W2019915143 creator A5077096184 @default.
- W2019915143 date "2015-01-22" @default.
- W2019915143 modified "2023-09-29" @default.
- W2019915143 title "Virtual Patients on the Semantic Web: A Proof-of-Application Study" @default.
- W2019915143 cites W102708294 @default.
- W2019915143 cites W1498889737 @default.
- W2019915143 cites W1546103008 @default.
- W2019915143 cites W1626926786 @default.
- W2019915143 cites W1965964177 @default.
- W2019915143 cites W1973801593 @default.
- W2019915143 cites W1976952679 @default.
- W2019915143 cites W1979397583 @default.
- W2019915143 cites W1994228779 @default.
- W2019915143 cites W1997975932 @default.
- W2019915143 cites W2009683697 @default.
- W2019915143 cites W2027596339 @default.
- W2019915143 cites W2033555373 @default.
- W2019915143 cites W2035425765 @default.
- W2019915143 cites W2036488299 @default.
- W2019915143 cites W2039719371 @default.
- W2019915143 cites W2049183132 @default.
- W2019915143 cites W2066231095 @default.
- W2019915143 cites W2069036285 @default.
- W2019915143 cites W2070821140 @default.
- W2019915143 cites W2104499032 @default.
- W2019915143 cites W2104959792 @default.
- W2019915143 cites W2108754781 @default.
- W2019915143 cites W2114153603 @default.
- W2019915143 cites W2126260337 @default.
- W2019915143 cites W2127482549 @default.
- W2019915143 cites W2129889309 @default.
- W2019915143 cites W2136304041 @default.
- W2019915143 cites W2150451032 @default.
- W2019915143 cites W2296506056 @default.
- W2019915143 cites W4239696231 @default.
- W2019915143 cites W55056346 @default.
- W2019915143 cites W79654536 @default.
- W2019915143 doi "https://doi.org/10.2196/jmir.3933" @default.
- W2019915143 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4319094" @default.
- W2019915143 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25616272" @default.
- W2019915143 hasPublicationYear "2015" @default.
- W2019915143 type Work @default.
- W2019915143 sameAs 2019915143 @default.
- W2019915143 citedByCount "25" @default.
- W2019915143 countsByYear W20199151432015 @default.
- W2019915143 countsByYear W20199151432016 @default.
- W2019915143 countsByYear W20199151432017 @default.
- W2019915143 countsByYear W20199151432019 @default.
- W2019915143 countsByYear W20199151432020 @default.
- W2019915143 countsByYear W20199151432021 @default.
- W2019915143 countsByYear W20199151432022 @default.
- W2019915143 countsByYear W20199151432023 @default.
- W2019915143 crossrefType "journal-article" @default.
- W2019915143 hasAuthorship W2019915143A5001518232 @default.
- W2019915143 hasAuthorship W2019915143A5028058284 @default.
- W2019915143 hasAuthorship W2019915143A5044079971 @default.
- W2019915143 hasAuthorship W2019915143A5058926112 @default.
- W2019915143 hasAuthorship W2019915143A5061465302 @default.
- W2019915143 hasAuthorship W2019915143A5077096184 @default.
- W2019915143 hasBestOaLocation W20199151431 @default.
- W2019915143 hasConcept C105339364 @default.
- W2019915143 hasConcept C115903868 @default.
- W2019915143 hasConcept C136764020 @default.
- W2019915143 hasConcept C18903297 @default.
- W2019915143 hasConcept C41008148 @default.
- W2019915143 hasConcept C49774154 @default.
- W2019915143 hasConcept C519536355 @default.
- W2019915143 hasConcept C86803240 @default.
- W2019915143 hasConcept C93518851 @default.
- W2019915143 hasConceptScore W2019915143C105339364 @default.
- W2019915143 hasConceptScore W2019915143C115903868 @default.
- W2019915143 hasConceptScore W2019915143C136764020 @default.
- W2019915143 hasConceptScore W2019915143C18903297 @default.
- W2019915143 hasConceptScore W2019915143C41008148 @default.
- W2019915143 hasConceptScore W2019915143C49774154 @default.
- W2019915143 hasConceptScore W2019915143C519536355 @default.
- W2019915143 hasConceptScore W2019915143C86803240 @default.
- W2019915143 hasConceptScore W2019915143C93518851 @default.
- W2019915143 hasIssue "1" @default.
- W2019915143 hasLocation W20199151431 @default.
- W2019915143 hasLocation W20199151432 @default.
- W2019915143 hasLocation W20199151433 @default.
- W2019915143 hasLocation W20199151434 @default.
- W2019915143 hasOpenAccess W2019915143 @default.
- W2019915143 hasPrimaryLocation W20199151431 @default.
- W2019915143 hasRelatedWork W1515308544 @default.
- W2019915143 hasRelatedWork W2062427795 @default.
- W2019915143 hasRelatedWork W2313595856 @default.
- W2019915143 hasRelatedWork W2324261804 @default.
- W2019915143 hasRelatedWork W2354642172 @default.
- W2019915143 hasRelatedWork W2360553097 @default.