Semantic Data Interoperability

The application of robotics in construction is hindered by the site environment, which is unstructured and subject to change. At the same time, however, buildings and corresponding sites can be accurately described by Building Information Modeling (BIM). Such a model contains geometric and semantic data about the construction and operation phases of the building and it is already available at the design phase. We propose a method to leverage BIM for simple yet efficient deployment of robotic systems for construction and operation of buildings. With our proposed approach, BIM is used to provide the robot with a priori geometric and semantic information on the environment and to store information on the operation progress. We present two applications that verify the effectiveness of our proposed method. This system represents a step forward towards an easier application of robots in construction.

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Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

Briefings in Bioinformatics ◽

10.1093/bib/bbaa418 ◽

2021 ◽

Author(s):

Arianna Dagliati ◽

Alberto Malovini ◽

Valentina Tibollo ◽

Riccardo Bellazzi

Keyword(s):

Health Informatics ◽

Data Privacy ◽

Lessons Learned ◽

Data Governance ◽

Data Interoperability ◽

Data Stewardship ◽

Data Infrastructures ◽

Healthcare Processes ◽

Day By Day ◽

Open Issues

Abstract The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most difficult aspects is reusing and sharing of accurate and detailed clinical data collected by Electronic Health Records (EHR), even if these data have a paramount importance. EHR data, in fact, are not only essential for supporting day-by-day activities, but also they can leverage research and support critical decisions about effectiveness of drugs and therapeutic strategies. In this paper, we will concentrate our attention on collaborative data infrastructures to support COVID-19 research and on the open issues of data sharing and data governance that COVID-19 had made emerge. Data interoperability, healthcare processes modelling and representation, shared procedures to deal with different data privacy regulations, and data stewardship and governance are seen as the most important aspects to boost collaborative research. Lessons learned from COVID-19 pandemic can be a strong element to improve international research and our future capability of dealing with fast developing emergencies and needs, which are likely to be more frequent in the future in our connected and intertwined world.

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Mobile Medical Applications and Cloud Federation Challenges

European Journal of Public Health ◽

10.1093/eurpub/ckaa165.1029 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

I Patias ◽

V Georgiev

Keyword(s):

Information Systems ◽

Health Sector ◽

Added Value ◽

Data Interoperability ◽

Layered Architecture ◽

Data Formats ◽

Cloud Federation ◽

Secure Environment ◽

Internal Operations ◽

Cloud Users

Abstract Issue Given the importance, of cloud environments for mobile telemedicine information systems, focus is given in this paper on the challenges rising. We discuss the pros of the access to computing services and resources on demand without having own infrastructures, and the need of advanced interoperability data formats and application program interfaces (APIs) to facilitate the usage of the infrastructure. Description of the problem Cloud-Oriented Architecture (COA) describes the architecture, where applications act as services and serve other applications in the cloud environment. The aim is IT infrastructure and software applications to be optimized for their use in cloud computing environments. But what happens in the specific field of health as data interoperability for mobile telemedicine information systems? Results Two architectures were presented using a patient's compliance and engagement solution. A simple Representational State Transfer (REST) based architectural style was implemented in a three-layered architecture first and then compared to a cloud federation model. In the second the interaction goes through the federation via a middleware layer. Internal operations of cloud providers in the federation are still transparent to the cloud users. The middleware layer aims to coordinate the interaction with cloud users and providers in the federation. But, to avoid delays in those interactions interoperability of data formats and APIs. Lessons A Fast Healthcare Interoperability Resources (FHIR) based application was developed. Mobile telemedicine information systems are a strong instrument in patients' compliance. Many systems have proved that the used resources combined can solve clinical and administrative problems in a secure environment. Key messages The use of cloud is wide spread in the health sector. The challenge is to combine this infrastructure into one federated platform and maximize the added value by using advanced interoperability data formats and APIs.

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