{"title":"SCAUT:使用患者生成的数据来改善对心脏装置患者的远程监测","authors":"T. Andersen, J. Moll","doi":"10.1145/3154862.3154922","DOIUrl":null,"url":null,"abstract":"The main problem with remote monitoring of cardiac device patients relates to inefficient communication. This is because patients and clinicians are separated in space and time. In the SCAUT project (2014--2018) we experiment with asynchronous interaction and explore how different types of patient-generated data can improve collaboration. The types of data that patients generate using the SCAUT patient app includes symptom experiences (categories/audio/numeric values), context (activity level/audio), medication list and travel information. We find that it is very important to consider how the data that patients enter can become useful for patients and clinicians simultaneously.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients\",\"authors\":\"T. Andersen, J. Moll\",\"doi\":\"10.1145/3154862.3154922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main problem with remote monitoring of cardiac device patients relates to inefficient communication. This is because patients and clinicians are separated in space and time. In the SCAUT project (2014--2018) we experiment with asynchronous interaction and explore how different types of patient-generated data can improve collaboration. The types of data that patients generate using the SCAUT patient app includes symptom experiences (categories/audio/numeric values), context (activity level/audio), medication list and travel information. We find that it is very important to consider how the data that patients enter can become useful for patients and clinicians simultaneously.\",\"PeriodicalId\":200810,\"journal\":{\"name\":\"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3154862.3154922\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3154862.3154922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients
The main problem with remote monitoring of cardiac device patients relates to inefficient communication. This is because patients and clinicians are separated in space and time. In the SCAUT project (2014--2018) we experiment with asynchronous interaction and explore how different types of patient-generated data can improve collaboration. The types of data that patients generate using the SCAUT patient app includes symptom experiences (categories/audio/numeric values), context (activity level/audio), medication list and travel information. We find that it is very important to consider how the data that patients enter can become useful for patients and clinicians simultaneously.