Christopher G Scully, Pras Pathmanathan, Chathuri Daluwatte, Farid Yaghouby, Richard A Gray, Sandy Weininger, Tina M Morrison, Bahram Parvinian
{"title":"计算模型可信度框架在生理闭环控制医疗器械检测中的应用","authors":"Christopher G Scully, Pras Pathmanathan, Chathuri Daluwatte, Farid Yaghouby, Richard A Gray, Sandy Weininger, Tina M Morrison, Bahram Parvinian","doi":"10.1109/lsc.2018.8572270","DOIUrl":null,"url":null,"abstract":"<p><p>Physiological closed-loop controlled medical devices are safety-critical systems that combine patient monitors with therapy delivery devices to automatically titrate therapy to meet a patient's current need. Computational models of physiological systems can be used to test these devices and generate pre-clinical evidence of safety and performance before using the devices on patients. The credibility, utility, and acceptability of such model-based test results will depend on, among other factors, the computational model used. We examine how a recently developed risk-informed framework for establishing the credibility of computational models in medical device applications can be applied in the evaluation of physiological closed-loop controlled devices.</p>","PeriodicalId":92787,"journal":{"name":"IEEE Life Sciences Conference. Life Sciences Conference","volume":"2018 ","pages":"130-133"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/lsc.2018.8572270","citationCount":"2","resultStr":"{\"title\":\"Applying a Computational Model Credibility Framework to Physiological Closed-loop Controlled Medical Device Testing.\",\"authors\":\"Christopher G Scully, Pras Pathmanathan, Chathuri Daluwatte, Farid Yaghouby, Richard A Gray, Sandy Weininger, Tina M Morrison, Bahram Parvinian\",\"doi\":\"10.1109/lsc.2018.8572270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Physiological closed-loop controlled medical devices are safety-critical systems that combine patient monitors with therapy delivery devices to automatically titrate therapy to meet a patient's current need. Computational models of physiological systems can be used to test these devices and generate pre-clinical evidence of safety and performance before using the devices on patients. The credibility, utility, and acceptability of such model-based test results will depend on, among other factors, the computational model used. We examine how a recently developed risk-informed framework for establishing the credibility of computational models in medical device applications can be applied in the evaluation of physiological closed-loop controlled devices.</p>\",\"PeriodicalId\":92787,\"journal\":{\"name\":\"IEEE Life Sciences Conference. Life Sciences Conference\",\"volume\":\"2018 \",\"pages\":\"130-133\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/lsc.2018.8572270\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Life Sciences Conference. Life Sciences Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/lsc.2018.8572270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/12/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Life Sciences Conference. Life Sciences Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/lsc.2018.8572270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/12/13 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Applying a Computational Model Credibility Framework to Physiological Closed-loop Controlled Medical Device Testing.
Physiological closed-loop controlled medical devices are safety-critical systems that combine patient monitors with therapy delivery devices to automatically titrate therapy to meet a patient's current need. Computational models of physiological systems can be used to test these devices and generate pre-clinical evidence of safety and performance before using the devices on patients. The credibility, utility, and acceptability of such model-based test results will depend on, among other factors, the computational model used. We examine how a recently developed risk-informed framework for establishing the credibility of computational models in medical device applications can be applied in the evaluation of physiological closed-loop controlled devices.