{"title":"Ontology driven meta-modelling of clinical documents","authors":"Shreya M. Banerjee, A. Sarkar","doi":"10.1504/IJHTM.2017.10009750","DOIUrl":null,"url":null,"abstract":"In recent days, distinct healthcare information systems use and exchange electronic clinical documents enormously. Further, modern technologies, such as connected home monitoring devices, incorporate contextual awareness into clinical documents. Besides this, today's healthcare domain is driven by emergence of new roles played by related stakeholders. Consequently, there is a need in healthcare information systems to achieve common semantic interpretation of clinical documents so that, 1) those can be exchanged among healthcare information systems meaningfully; 2) personalised document view in a specific context can be achieved effectively. To address these issues in this paper, an ontology driven meta-model for clinical documents is proposed. The proposed conceptualisation is implemented in an ontology editorial tool Protege and illustrated using a case study based on e-prescription. Further, the specification is transformed towards JSON (Java Script Object Notation Schema) schema for demonstration of its practical utility.","PeriodicalId":51933,"journal":{"name":"International Journal of Healthcare Technology and Management","volume":"16 1","pages":"271"},"PeriodicalIF":0.4000,"publicationDate":"2017-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Healthcare Technology and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJHTM.2017.10009750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
In recent days, distinct healthcare information systems use and exchange electronic clinical documents enormously. Further, modern technologies, such as connected home monitoring devices, incorporate contextual awareness into clinical documents. Besides this, today's healthcare domain is driven by emergence of new roles played by related stakeholders. Consequently, there is a need in healthcare information systems to achieve common semantic interpretation of clinical documents so that, 1) those can be exchanged among healthcare information systems meaningfully; 2) personalised document view in a specific context can be achieved effectively. To address these issues in this paper, an ontology driven meta-model for clinical documents is proposed. The proposed conceptualisation is implemented in an ontology editorial tool Protege and illustrated using a case study based on e-prescription. Further, the specification is transformed towards JSON (Java Script Object Notation Schema) schema for demonstration of its practical utility.
期刊介绍:
IJHTM is a new series emerging from the International Journal of Technology Management. It provides an international forum and refereed authoritative sources of information in the fields of management, economics and the management of technology in healthcare.