Currently there is not a single trusted infrastructure used for the exchange and storage of medical data along the healthcare value chain and, thus, there is no platform used for monitoring patients’ traceability within the entire healthcare chain. This situation leads to difficult communication and increased procedural costs, and thus it limits healthcare players from developing a better understanding and know-how of patients’ traceability that could further boost innovation and development of the best-fitted health services. PatientDataChain blockchain-based technology is a novel approach, based on a decentralized healthcare infrastructure that incorporates a trust layer in the healthcare value chain. Our aim was to provide an integrated vision based on interoperability principles, that relies on the usage of specific sensors from various wearable devices, allowing us to collect specific data from patients’ medical records. Interconnecting different healthcare providers, the collected data is integrated into a unitary personal health records (PHR) system, where the patient is the owner of his/her data. The decentralized nature of PatientDataChain, based on blockchain technology, leveraged the proper context to create a novel and improved data-sharing and exchange system, which is secure, flexible, and reliable. This approach brings increased benefits to data confidentiality and privacy, while providing secure access to patient medical records. This paper presents the design, implementation, and experimental validation of our proposed system, called PatientDataChain. The original contributions of our paper include the definition of the concept of unifying the entire healthcare value chain, the design of the architectural model of the system, the development of the system components, as well as the validation through a proof of concept (PoC) conducted with a medical clinic from Bucharest, using a dataset of 100 patients and over 1000 transactions. The proof of concept demonstrated the feasibility of the model in integrating the personal health records from heterogeneous sources (healthcare systems and sensors) in a unified, decentralized PHR system, with enhanced data exchange among healthcare players.

According to the main enterprise architectures proposed so far, an EA should be conformed at least for a framework, a methodology and a modelling language. Sensing Enterprise (SE) is a quality of an enterprise or a network that allow it reacting to business stimuli based on the Internet. The advent of these both fields is recent and there is not evidence of the use of IEA to modelling SE, finding an interesting gap to work on. In this sense, this paper proposes an initial Framework for Inter Sensing Enterprise Architecture (FISEA), which seeks classify, organize, store and communicate in a conceptual level the elements for inter sensing enterprise architecture and their relationships, ensuring their consistency and integrity. This FISEA provides a clear picture about the elements and views that make up collaborative network (CN) and their inter-relationships, based on the support of the Internet for its operation.

No abstract

The constantly increasing dynamics of the world economy and the shift of business values in accordance with the new values of the current society has lead to the development of new Internet oriented Enterprise Systems. This paper is concerned with the transformation of such systems in regard to the new paradigms of Future Internet and Cyber -Physical Systems. A Distributed Semantic Middleware is proposed as an Enabler for the development of Cyber Enterprise Systems.

* This paper is based on a former presentation entitled "Haptic Interfaces for Compensating Dynamics of Rescue Walking Robot" made at the International Conference on Communication, Management and Information Technology 2015. In the current paper we updated the model in order to include the Cyber-Physical System for future integration in the context of Internet of Things. Also, we defined several methods for CPS and optimized the intelligent control.