Panagiotis Vartholomaios, N. Ramdani, C. Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai, A. Panayides, C. Pattichis, Michail Sarafidis, Vassilia Costarides, E. Vellidou, D. Koutsouris
{"title":"背书概念","authors":"Panagiotis Vartholomaios, N. Ramdani, C. Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai, A. Panayides, C. Pattichis, Michail Sarafidis, Vassilia Costarides, E. Vellidou, D. Koutsouris","doi":"10.4018/IJRQEH.2019070104","DOIUrl":null,"url":null,"abstract":"Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/IJRQEH.2019070104","citationCount":"2","resultStr":"{\"title\":\"ENDORSE Concept\",\"authors\":\"Panagiotis Vartholomaios, N. Ramdani, C. Christophorou, Dimosthenis Georgiadis, Thomas Guilcher, Myriam Blouin, Mohamed Rebiai, A. Panayides, C. Pattichis, Michail Sarafidis, Vassilia Costarides, E. Vellidou, D. Koutsouris\",\"doi\":\"10.4018/IJRQEH.2019070104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.\",\"PeriodicalId\":36298,\"journal\":{\"name\":\"International Journal of Reliable and Quality E-Healthcare\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4018/IJRQEH.2019070104\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Reliable and Quality E-Healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJRQEH.2019070104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Reliable and Quality E-Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJRQEH.2019070104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Nursing","Score":null,"Total":0}
Hospitals are considered a field of logistic robotics of high commercial potential and therefore a handful of mobile robot solutions exist. However, they have failed to trigger widespread acceptance by the market. The ENDORSE system will pursue 4 innovation pillars: an infrastructure-less multi-robot navigation, i.e. minimum installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; the deployment of ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP and CRM, complying with GDPR data security requirements; and allowing for reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring, facilitating connectivity to cloud-based EHR, and validated in an operational hospital environment for realistic assessment.