@inproceedings{OpazoBasaezGhulamAriasArandaetal.2014, author = {Opazo Basaez, Marco and Ghulam, Sarfaraz and Arias Aranda, Daniel and Stantchev, Vladimir}, title = {Smart healthcare services: a patient oriented cloud computing solution}, pages = {18}, year = {2014}, abstract = {Objectives/rationale: Healthcare systems all over the world are facing difficult challenges that have a direct impact and influence the delivery of healthcare services. As a response healthcare institutions are relying in the implementation of Information and communication technologies (ICTs) to overcome difficulties and satisfy patients' demands in a cost-effective way adopting new technologies capable to innovate, extend, and redefine the way healthcare has been delivered for decades. New technological innovations such as Internet of things (IoT), Smart item technology, and cloud computing can improve the traditional e-healthcare system and extend service provision beyond the hospital facilities by using wireless sensor networks (WSN) and radio frequency identification devices (RFID), providing a new type of services advertised as "smart." This type of services, enable doctors to treat patients remotely and allows people to do their normal daily routines, occupations, and activities while receiving appropriate, timely, and high-quality ubiquitous healthcare services. Methods: An exploratory study is performed to review the route towards smart healthcare services, emphasizing the use of information and communication technologies (ICTs) and smart item technology as enhancers for smart healthcare services provision. Results/findings: A new technological infrastructure promises to transform medical practice and disease prevention by empowering healthcare institutions with smart items for remote patient monitoring eliminating time-wasting procedures, reducing health costs, improving quality of service and patients satisfaction. Implications/conclusions: Traditional e-healthcare system is transitioning into an interconnected smart-healthcare system potentiated by new technological advances capable to extend healthcare service provision and offer smart healthcare services.}, language = {en} } @inproceedings{GhulamSchubertTammetal.2014, author = {Ghulam, Sarfaraz and Schubert, Johannes and Tamm, Gerrit and Stantchev, Vladimir}, title = {Integrating Smart Items and Cloud Computing in Healthcare Scenarios}, pages = {7}, year = {2014}, abstract = {Use of cloud computing in healthcare is a promising trend, particularly in utilization of smart items. Access, affordability and quality to proper healthcare is a great challenge in world society. With the utilization of smart sensors, there are possibilities to improve the quality of healthcare services whenever needed. Hence, such smart items services lead to economic advantages for the whole healthcare system. Keeping in mind these opportunities as well as challenges such as security or legal issues, it is important to bring healthcare and IT together. As a result, healthcare business processes need to be modeled in order to provide IT solutions tailored for practice-oriented applications. In this paper, we present a three-level architecture for a smart healthcare infrastructure. Our approach is based on recent literature work and results from conducted expert interviews with healthcare specialists and IT professionals. To demonstrate the applicability of this architecture model, we provide an example use-case as a template for any kind of smart sensor-based healthcare infrastructure.}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {Towards Ambient IT in Healthcare}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {The Perspectives for IT in Healthcare: the Case of Spain and Germany}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {PrevenTAB: Towards Ambient IT in Healthcare}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @inproceedings{Stantchev2015, author = {Stantchev, Vladimir}, title = {Mathematical Models for Data Analysis in Healthcare}, year = {2015}, abstract = {Keine Angabe No details}, language = {en} } @article{PrietoGonzalezJaedickeSchubertetal.2016, author = {Prieto-Gonz{\´a}lez, Lisardo and Jaedicke, Corvin and Schubert, Johannes and Stantchev, Vladimir}, title = {Fog computing architectures for healthcare: Wireless performance and semantic opportunities}, series = {Journal of Information, Communication and Ethics in Society}, volume = {14}, journal = {Journal of Information, Communication and Ethics in Society}, number = {4}, publisher = {Emerald}, address = {Bingley}, pages = {334 -- 349}, year = {2016}, abstract = {Purpose - The purpose of this study is to analyze how embedding of self-powered wireless sensors into cloud computing further enables such a system to become a sustainable part of work environment. Design/methodology/approach - This is exemplified by an application scenario in healthcare that was developed in the context of the OpSIT project in Germany. A clearly outlined three-layer architecture, in the sense of Internet of Things, is presented. It provides the basis for integrating a broad range of sensors into smart healthcare infrastructure. More specifically, by making use of short-range communication sensors (sensing layer), gateways which implement data transmission and low-level computation (fog layer) and cloud computing for processing the data (application layer). Findings - A technical in-depth analysis of the first two layers of the infrastructure is given to provereliability and to determine the communication quality and availability in real-world scenarios. Furthermore, two example use-cases that directly apply to a healthcare environment are examined,concluding with the feasibility of the presented approach. Practical implications - Finally, the next research steps, oriented towards the semantic tagging and classification of data received from sensors, and the usage of advanced artificial intelligence-based algorithms on this information to produce useful knowledge, are described together with the derived social benefits. Originality/value - The work presents an innovative, extensible and scalable system, proven to be useful in healthcare environments.}, language = {en} } @inproceedings{PrietoGonzalezTammStantchev2016, author = {Prieto-Gonz{\´a}lez, Lisardo and Tamm, Gerrit and Stantchev, Vladimir}, title = {Towards a Software Engineering Approach for Cloud and IoT Services in Healthcare}, series = {Computational Science and Its Applications}, booktitle = {Computational Science and Its Applications}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-42089-9}, pages = {439 -- 452}, year = {2016}, abstract = {In this work a tailored approach for requirements engineering for risk management solutions is presented. The approach focuses on cross-disciplinary risk paradigms in inpatient healthcare and aims to provide a novel methodology that accounts for specific viewpoints of relevant expert groups. The presented results demonstrate the feasibility and usefulness of the approach in the context of the current evaluation within the German market.}, language = {en} }