{"title":"依赖交互的电子健康中心——适应基于云的电子健康记录的软件","authors":"A. Adamkó, Abel Garai, István Péntek","doi":"10.1109/COGINFOCOM.2017.8268267","DOIUrl":null,"url":null,"abstract":"The recent decade brought a significant breakthrough in the healthcare interoperability. Among other things the patient-information has been thoroughly digitalized and shared between the involved organizational units. The healthcare data is stored in electronic health records (EHR). These records mostly remained in stand-alone servers. However, the cloud-technology penetrated also the healthcare industry. As people move and travel more frequently, they are more likely to receive treatment in foreign healthcare institutions. Therefore, they leave their electronic medical footprint in different countries. The industrial cloud-providers offer regional, international or global solutions. This trend eliminates the former technological barriers of cross-border data exchange. This article summarizes the results of the team's research, and focuses on the findings of the latest stage of the three-year exploratory program. From technical point of view, this research phase focuses on three objectives: capture of the bio-sensory raw data from the dedicated e-Health device, aggregation and evaluation of the data-flow by the hub-software, and collection into EHR. This research also simulates the proposed adaptive, event-based and interoperable healthcare ecosystem. According to the cloud architecture's elasticity, the findings of this pilot project can be later disseminated to international extent and the hub software's system dimensions can be scaled up to serve also complex healthcare ecosystems.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Interaction-dependent e-health hub-software adaptation to cloud-based electronic health records\",\"authors\":\"A. Adamkó, Abel Garai, István Péntek\",\"doi\":\"10.1109/COGINFOCOM.2017.8268267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recent decade brought a significant breakthrough in the healthcare interoperability. Among other things the patient-information has been thoroughly digitalized and shared between the involved organizational units. The healthcare data is stored in electronic health records (EHR). These records mostly remained in stand-alone servers. However, the cloud-technology penetrated also the healthcare industry. As people move and travel more frequently, they are more likely to receive treatment in foreign healthcare institutions. Therefore, they leave their electronic medical footprint in different countries. The industrial cloud-providers offer regional, international or global solutions. This trend eliminates the former technological barriers of cross-border data exchange. This article summarizes the results of the team's research, and focuses on the findings of the latest stage of the three-year exploratory program. From technical point of view, this research phase focuses on three objectives: capture of the bio-sensory raw data from the dedicated e-Health device, aggregation and evaluation of the data-flow by the hub-software, and collection into EHR. This research also simulates the proposed adaptive, event-based and interoperable healthcare ecosystem. According to the cloud architecture's elasticity, the findings of this pilot project can be later disseminated to international extent and the hub software's system dimensions can be scaled up to serve also complex healthcare ecosystems.\",\"PeriodicalId\":212559,\"journal\":{\"name\":\"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGINFOCOM.2017.8268267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2017.8268267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interaction-dependent e-health hub-software adaptation to cloud-based electronic health records
The recent decade brought a significant breakthrough in the healthcare interoperability. Among other things the patient-information has been thoroughly digitalized and shared between the involved organizational units. The healthcare data is stored in electronic health records (EHR). These records mostly remained in stand-alone servers. However, the cloud-technology penetrated also the healthcare industry. As people move and travel more frequently, they are more likely to receive treatment in foreign healthcare institutions. Therefore, they leave their electronic medical footprint in different countries. The industrial cloud-providers offer regional, international or global solutions. This trend eliminates the former technological barriers of cross-border data exchange. This article summarizes the results of the team's research, and focuses on the findings of the latest stage of the three-year exploratory program. From technical point of view, this research phase focuses on three objectives: capture of the bio-sensory raw data from the dedicated e-Health device, aggregation and evaluation of the data-flow by the hub-software, and collection into EHR. This research also simulates the proposed adaptive, event-based and interoperable healthcare ecosystem. According to the cloud architecture's elasticity, the findings of this pilot project can be later disseminated to international extent and the hub software's system dimensions can be scaled up to serve also complex healthcare ecosystems.