K. Gary, M. Cole, Dipak Purbey, M. Lin, M. Berl, Chintan Jarawala, Sheetal Sohoni
{"title":"脑追踪器:移动健康应用程序远程评估儿童癫痫和合并症","authors":"K. Gary, M. Cole, Dipak Purbey, M. Lin, M. Berl, Chintan Jarawala, Sheetal Sohoni","doi":"10.1109/SeGAH49190.2020.9201850","DOIUrl":null,"url":null,"abstract":"Children with chronic pediatric disorders are at increased risk for cognitive and psychosocial problems, but screening and monitoring for them is challenged by access to care and availability of sensitive psychosocial measures. We have developed a mobile health application (mHealth app) with tasks and surveys that target areas of functioning that are commonly at risk in children across medical disorders including attention, processing speed, socialization, anxiety, and depression. The design and implementation of this mHealth solution addresses several technical challenges in providing a usable platform for patients, parents and care providers. The end product is a point-of-care instrument that can quickly, easily, and reliably identify children that require additional assessment and/or intervention for the cognitive and psychosocial symptoms that they are at risk for, and rigorously quantify the diagnostic efficiency of mobile technology compared to standard clinical evaluation.","PeriodicalId":114954,"journal":{"name":"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BrainTracker: mHealth app for Remote Assessment of Pediatric Epilepsy and Comorbidities\",\"authors\":\"K. Gary, M. Cole, Dipak Purbey, M. Lin, M. Berl, Chintan Jarawala, Sheetal Sohoni\",\"doi\":\"10.1109/SeGAH49190.2020.9201850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Children with chronic pediatric disorders are at increased risk for cognitive and psychosocial problems, but screening and monitoring for them is challenged by access to care and availability of sensitive psychosocial measures. We have developed a mobile health application (mHealth app) with tasks and surveys that target areas of functioning that are commonly at risk in children across medical disorders including attention, processing speed, socialization, anxiety, and depression. The design and implementation of this mHealth solution addresses several technical challenges in providing a usable platform for patients, parents and care providers. The end product is a point-of-care instrument that can quickly, easily, and reliably identify children that require additional assessment and/or intervention for the cognitive and psychosocial symptoms that they are at risk for, and rigorously quantify the diagnostic efficiency of mobile technology compared to standard clinical evaluation.\",\"PeriodicalId\":114954,\"journal\":{\"name\":\"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SeGAH49190.2020.9201850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SeGAH49190.2020.9201850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BrainTracker: mHealth app for Remote Assessment of Pediatric Epilepsy and Comorbidities
Children with chronic pediatric disorders are at increased risk for cognitive and psychosocial problems, but screening and monitoring for them is challenged by access to care and availability of sensitive psychosocial measures. We have developed a mobile health application (mHealth app) with tasks and surveys that target areas of functioning that are commonly at risk in children across medical disorders including attention, processing speed, socialization, anxiety, and depression. The design and implementation of this mHealth solution addresses several technical challenges in providing a usable platform for patients, parents and care providers. The end product is a point-of-care instrument that can quickly, easily, and reliably identify children that require additional assessment and/or intervention for the cognitive and psychosocial symptoms that they are at risk for, and rigorously quantify the diagnostic efficiency of mobile technology compared to standard clinical evaluation.