Heather M Conboy, George S Avrunin, Lori A Clarke, Leon J Osterweil, Stefan C Christov, Julian M Goldman, Steven J Yule, Marco A Zenati
{"title":"心血管外科高后果期护理中的认知支持。","authors":"Heather M Conboy, George S Avrunin, Lori A Clarke, Leon J Osterweil, Stefan C Christov, Julian M Goldman, Steven J Yule, Marco A Zenati","doi":"10.1109/COGSIMA.2017.7929610","DOIUrl":null,"url":null,"abstract":"<p><p>Despite significant efforts to reduce preventable adverse events in medical processes, such events continue to occur at unacceptable rates. This paper describes a computer science approach that uses formal process modeling to provide situationally aware monitoring and management support to medical professionals performing complex processes. These process models represent both normative and non-normative situations, and are validated by rigorous automated techniques such as model checking and fault tree analysis, in addition to careful review by experts. Context-aware Smart Checklists are then generated from the models, providing cognitive support during high-consequence surgical episodes. The approach is illustrated with a case study in cardiovascular surgery.</p>","PeriodicalId":91827,"journal":{"name":"... IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/COGSIMA.2017.7929610","citationCount":"7","resultStr":"{\"title\":\"Cognitive Support During High-Consequence Episodes of Care in Cardiovascular Surgery.\",\"authors\":\"Heather M Conboy, George S Avrunin, Lori A Clarke, Leon J Osterweil, Stefan C Christov, Julian M Goldman, Steven J Yule, Marco A Zenati\",\"doi\":\"10.1109/COGSIMA.2017.7929610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Despite significant efforts to reduce preventable adverse events in medical processes, such events continue to occur at unacceptable rates. This paper describes a computer science approach that uses formal process modeling to provide situationally aware monitoring and management support to medical professionals performing complex processes. These process models represent both normative and non-normative situations, and are validated by rigorous automated techniques such as model checking and fault tree analysis, in addition to careful review by experts. Context-aware Smart Checklists are then generated from the models, providing cognitive support during high-consequence surgical episodes. The approach is illustrated with a case study in cardiovascular surgery.</p>\",\"PeriodicalId\":91827,\"journal\":{\"name\":\"... IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/COGSIMA.2017.7929610\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"... IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGSIMA.2017.7929610\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2017/5/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"... IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2017.7929610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/5/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Cognitive Support During High-Consequence Episodes of Care in Cardiovascular Surgery.
Despite significant efforts to reduce preventable adverse events in medical processes, such events continue to occur at unacceptable rates. This paper describes a computer science approach that uses formal process modeling to provide situationally aware monitoring and management support to medical professionals performing complex processes. These process models represent both normative and non-normative situations, and are validated by rigorous automated techniques such as model checking and fault tree analysis, in addition to careful review by experts. Context-aware Smart Checklists are then generated from the models, providing cognitive support during high-consequence surgical episodes. The approach is illustrated with a case study in cardiovascular surgery.