Attila Adamkó

A system model and applications for intelligent campuses

Nowadays, when Future Internet and Internet of Things (IoT) research is an integral part of the rise of computing, we need to react to new challenges. According to prognoses of Gartner and ABI Research, by 2020 there will be nearly 30 billion devices connected to the Internet of Things wirelessly. Furthermore, a new computing concept has appeared which had a vision where computing is made to appear everywhere and anywhere. These technological advancements that have occurred during the past decade in various domains, including sensors, wireless communications, location positioning technologies, and the web, allow the efficient collection and processing of a wide range of data. These ideas are applied at our University Campus where we established an extensible data management architecture, on the top of which value-added services are provided for various people living or working on the Campus. Both the architecture and a couple of applications that make use of it will be discussed.

Modeling Data-Oriented Web Applications using UML

Recently, a growing demand has arisen for methods for the development of small- and medium scale Web applications. We propose a systematic design method for Web applications which takes into account the data-oriented aspects of the application. The method is based on a UML profile adapted to the problem domain by means of stereotypes as well as a strategy for generating code templates from such models. We provide also a method for the derivation of the navigation model from the structural model. We show guidelines for the development of the data layer of data-oriented Web application. An advantage of the proposed methodology is that several steps can be performed in a semi-automatic way providing rapid development and prototyping

Cognitive Cloud-Based Telemedicine System

Telemedicine instruments and e-Health mobile wearable devices are designed to enhance patients’ quality of life. The adequate man-and-machine cognitive ecosystem is the missing link for that. This research program is dedicated to deliver the suitable solution. This exploratory study focuses specifically on the universal interoperability among the healthcare domains and its actors. This research’s goal is the establishment of adaptive informatics framework for telemedicine. This is achieved through the deployed open telemedicine interoperability hub-system. The presented inter-cognitive sensor-sharing system solution augments the healthcare ecosystem through extended interconnection among the telemedicine, IoT e-Health and hospital information system domains. The research team’s motivation is to deliver advanced living condition for patients with chronic diseases through remotely accessible telemedicine and e-Health solutions relying upon the open telemedicine interoperability hub-system. Industry-wide accepted technologies are applied to achieve this goal. The general purpose of this experiment is building an augmented, adaptive, cognitive and also universal healthcare information technology ecosphere.

Open iot-based telemedicine hub and infrastructure

In this paper, a unique healthcare solution is described that supports the even more effective operation of the hospital information systems. The main question is whether the emerging opportunities of the Internet of things devices can also be exploited in the industrial hospital information system landscape. This demonstrated research describes the most feasible way to integrate the Internet of things capability into hospital information production systems. The initial goal was the design and implementation of a single, unified telemedicine hub offering community-based solution for integrated medical systems. This solution allows the intercepted information to be collected and interpreted at community level. The designed and implemented system acts as a transmitter between the physician and patient. The software solution operates with sensor-based information collected from the individual. Emerging Internet of things devices and solutions open new horizons for today’s health care systems. The presented a...

Comprehensive healthcare interoperability framework integrating telemedicine consumer electronics with cloud architecture

This article reviews and demonstrates the necessary abstraction levels of interoperability for enhanced healthcare systems integration. Defined interoperability levels are mapped against the Open System Interconnection Model layers resulting in bridging the classical and the modern methodology. The clinical integration of eHealth consumer electronic technology is assessed according to the aforementioned terminology and methodology. The Cloud-based Open Telemedicine Interoperability Hub is demonstrated, summarized and validated as a link between classical healthcare information system architecture and emerging eHealth consumer electronics technology. This scientific research program is the manifestation of the trilateral cooperation among the University of Debrecen Faculty of Informatics, Semmelweis University 2nd Pediatric Clinic Department of Pulmonology and an industry partner. The demonstrated interoperability framework relies upon and intends to extend health level seven international standard for open healthcare systems interoperability. The novelty of this research is, that the presented Open Telemedicine Interoperability Hub is embedded in hybrid Cloud Architecture, and therefore it delivers the necessary highly improved transactional processing capacity that other contemporary technologies lack.

Methodology for clinical integration of e-Health sensor-based smart device technology with cloud architecture

The international healthcare systems interoperability is an unresolved technological area at the moment. This paper demonstrates the results of the software engineering research for simplex syntactic and semantic technical interoperability of hospital information systems, eHealth smart device technology and clinical telemedicine instruments through the recently developed Telemedicine Interoperability Hub. Several similar experiments exist. This research is unique in building a prototype interconnecting not only healthcare information systems with each other, but aiming to establish a general healthcare interoperability scheme including also the eHealth smart devices and telemedicine instruments. The aim of this research is to establish cloud-based data interchange capability with the newly developed information technology system interconnected with the emerging eHealth Internet of Things solutions and the classical hospital information system architecture. Notwithstanding the international information tec...

Building Smart University Using Innovative Technology and Architecture

The terms Smart University and Smart Campus reflect the various opportunities provided by universities to achieve better experiences for locals to improve campus efficiency and cut down operating expenses. Both directions try to help their users reach their aims much easier. Several new aspects and technologies have appeared in the last few years and gained greater emphasis in areas such as Big Data, IoT (Internet of Things), Future Internet, and Crowdsourcing. A University is a proper place where all of these fields could be examined and applied continuously as a sustainable evolution. In this paper, we investigate software systems and related aspects of this evolution to introduce an open architecture for easily extensible services. These services are responsible to provide their users value-added information. This will increase the smartness level of the campus. We investigated three directions for this reason: IoT to involve sensing, cloud and ubiquitous computing to make our services available everywhere, and to transform our service consumers to content generators or, in other words, data producers and/or developers for new data source connections. The fourth direction, Big Data, is a forthcoming addition to the previous three for enhanced analytical capabilities to Smart Communities.

A clinical system integration methodology for bio-sensory technology with Cloud architecture

Here, we outline the design, implementation, testing and evaluation phases of our bi-directional semantic and syntactic interoperability framework interconnecting traditional healthcare, industrial telemedicine and IoT wearable eHealth-domains. Specifically, our study demonstrates system interoperability among a hospital information system, an industrial telemedicine instrument and an eHealth smart wearable consumer electronic product through the Open Telemedicine Interoperability Hub (OTI-Hub) embedded in a hybrid Cloud architecture. The novelty of this study is the handling of Internet-ofThingssmart healthcare devices and traditional healthcare devices through the same Cloud-based solution. This healthcare interoperability solution, service architecture and corresponding software engineering technique bridges technology barriers among the above-mentioned healthcare segments. Standard interoperability solutions exist and have already been described in related literature, but they are not applicable to the IoT healthcare devices and vice versa. Our study goes beyond isolated, individual interoperability solutions and seeks to bridge all major healthcare architecture frameworks including classical, telemedicine and eHealth IoT applications and appliances. This study presents the results of a two-year OTI-Hub Research Program. These experiments are manifestations of a trilateral cooperation among the University of Debrecen, Faculty of Informatics, the Semmelweis University 2nd Department of Paediatrics Pulmonology Division and an international hospital information system service provider.

Review and requirement specification of telemedicine systems interoperability with common data exchange hub

This paper examines the contemporary issues of interoperability between the emerging telemedicine smart devices and classical, industrial telemedicine systems. The article also presents an overview of two health-related data exchange standards from the western hemisphere, and gives a review with requirement specification on telemedicine systems interoperability. The applied health data exchange standards have significant impact on the general and widely interpreted interoperability of Telemedicine Systems. Interoperability for Telemedicine Systems can bring unprecedented value both at personal and at community level. In the other hand, the ability of sharing medical data on a global basis significantly extends the potential means of worldwide epidemic control. International disease analysis and the resulting forecasting-capabilities supported by Telemedicine Systems Interoperability represents a significant milestone in the practical application of various ICT-solutions, like cloud architecture, telecommunication systems, smart-devices and smartphone apps. Legacy healthcare systems, smartphone apps, smart-devices and telemedicine instruments are sharing data continuously and some of them are interdependent on each other. However, there are still significant barriers blocking the flawless circulation of medical information among health-institutions and devices. This paper also intends to explore some barriers on telemedicine systems interoperability and presents recommendation for future enhancement on flawless telemedicine data exchange.