Timo Sigwarth, K. Loewe, Eberhard Beck, Lutz Pelchen, T. Schrader
{"title":"医学环境中前瞻性风险分析的概念本体- opt模型本体","authors":"Timo Sigwarth, K. Loewe, Eberhard Beck, Lutz Pelchen, T. Schrader","doi":"10.1109/INTELCIS.2015.7397202","DOIUrl":null,"url":null,"abstract":"Clinical processes tend to be highly complex which results in 5%-10% erroneous procedures. A process risk analysis through the medical risk management is mostly retrospectively, therefore it's commonly not suited to prevent errors before occurring. In technical domains prospective analysis methods, like Hazards & Operability study (HAZOP study), are widely used, but the adaption of these methods for medical processes is rather difficult.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"23 1","pages":"88-93"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Conceptual ontology of prospective risk analysis in medical environments - the OPT-Model-Ontology\",\"authors\":\"Timo Sigwarth, K. Loewe, Eberhard Beck, Lutz Pelchen, T. Schrader\",\"doi\":\"10.1109/INTELCIS.2015.7397202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Clinical processes tend to be highly complex which results in 5%-10% erroneous procedures. A process risk analysis through the medical risk management is mostly retrospectively, therefore it's commonly not suited to prevent errors before occurring. In technical domains prospective analysis methods, like Hazards & Operability study (HAZOP study), are widely used, but the adaption of these methods for medical processes is rather difficult.\",\"PeriodicalId\":6478,\"journal\":{\"name\":\"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)\",\"volume\":\"23 1\",\"pages\":\"88-93\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTELCIS.2015.7397202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTELCIS.2015.7397202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conceptual ontology of prospective risk analysis in medical environments - the OPT-Model-Ontology
Clinical processes tend to be highly complex which results in 5%-10% erroneous procedures. A process risk analysis through the medical risk management is mostly retrospectively, therefore it's commonly not suited to prevent errors before occurring. In technical domains prospective analysis methods, like Hazards & Operability study (HAZOP study), are widely used, but the adaption of these methods for medical processes is rather difficult.