M. Rantz, M. Skubic, R. Koopman, L. Phillips, G. Alexander, Steven J. Miller, R. D. Guevara
{"title":"利用传感器网络检测老年人尿路感染","authors":"M. Rantz, M. Skubic, R. Koopman, L. Phillips, G. Alexander, Steven J. Miller, R. D. Guevara","doi":"10.1109/HEALTH.2011.6026731","DOIUrl":null,"url":null,"abstract":"Integrated sensor networks have been installed in apartments of volunteer residents at TigerPlace, an aging in place retirement community that allows residents to remain in their apartments even if their health deteriorates. The sensor networks supplement registered nurse (RN) care coordination provided by Sinclair Home Care by alerting the RN care coordinator about changes in the normal sensor patterns. In several cases, the alerts have prompted the care coordinator to have the resident tested for urinary tract infections. Importantly, the sensor network detected signs of illness earlier than traditional health care assessment.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":"{\"title\":\"Using sensor networks to detect urinary tract infections in older adults\",\"authors\":\"M. Rantz, M. Skubic, R. Koopman, L. Phillips, G. Alexander, Steven J. Miller, R. D. Guevara\",\"doi\":\"10.1109/HEALTH.2011.6026731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integrated sensor networks have been installed in apartments of volunteer residents at TigerPlace, an aging in place retirement community that allows residents to remain in their apartments even if their health deteriorates. The sensor networks supplement registered nurse (RN) care coordination provided by Sinclair Home Care by alerting the RN care coordinator about changes in the normal sensor patterns. In several cases, the alerts have prompted the care coordinator to have the resident tested for urinary tract infections. Importantly, the sensor network detected signs of illness earlier than traditional health care assessment.\",\"PeriodicalId\":187103,\"journal\":{\"name\":\"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"72\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HEALTH.2011.6026731\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HEALTH.2011.6026731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using sensor networks to detect urinary tract infections in older adults
Integrated sensor networks have been installed in apartments of volunteer residents at TigerPlace, an aging in place retirement community that allows residents to remain in their apartments even if their health deteriorates. The sensor networks supplement registered nurse (RN) care coordination provided by Sinclair Home Care by alerting the RN care coordinator about changes in the normal sensor patterns. In several cases, the alerts have prompted the care coordinator to have the resident tested for urinary tract infections. Importantly, the sensor network detected signs of illness earlier than traditional health care assessment.