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1.

001-es BibID:BIBFORM070569
035-os BibID:(WoS)000428151900060 (Scopus)85047161017
Első szerző:Adamkó Attila (informatikus)
Cím:Interaction-dependent e-Health hub-software adaptation to cloud-based electronic health records / Attila Adamko, Abel Garai, Istvan Pentek
Dátum:2017
Megjegyzések:The recent decade brought a significant breakthroughin the healthcare interoperability. Among other things thepatient-information has been thoroughly digitalized and sharedbetween the involved organizational units. The healthcare data isstored in electronic health records (EHR). These records mostlyremained in stand-alone servers. However, the cloud-technologypenetrated also the healthcare industry. As people move and travelmore frequently, they are more likely to receive treatment inforeign healthcare institutions. Therefore, they leave theirelectronic medical footprint in different countries. The industrialcloud-providers offer regional, international or global solutions.This trend eliminates the former technological barriers of crossborderdata exchange. This article summarizes the results of theteam's research, and focuses on the findings of the latest stage ofthe three-year exploratory program. From technical point of view,this research phase focuses on three objectives: capture of the biosensoryraw data from the dedicated e-Health device, aggregationand evaluation of the data-flow by the hub-software, and collectioninto EHR. This research also simulates the proposed adaptive,event-based and interoperable healthcare ecosystem. According tothe cloud architecture's elasticity, the findings of this pilot projectcan be later disseminated to international extent and the hubsoftware's system dimensions can be scaled up to serve alsocomplex healthcare ecosystems.
ISBN:978-1-5386-1264-4
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
telemedicine
electronic health record
interoperability
eHealth
HL7
Megjelenés:8th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2017 : Proceedings : September 11-14, 2017 Debrecen, Hungary. - p. 339-344. -
További szerzők:Garai Ábel (1980-) (informatikus, közgazdász) Péntek István (1988-) (programtervező informatikus)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM070103
Első szerző:Adamkó Attila (informatikus)
Cím:Review and requirement specification of telemedicine systems interoperability with common data exchange hub / Attila Adamkó, Ábel Garai, István Péntek
Dátum:2016
Megjegyzések: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.
ISBN:978-1-5090-2866-5
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
telemedicine
IoT
interoperability
eHealth
smartdevices
Megjelenés:SISY 2016 IEEE 14th International Symposium on Intelligent Systems and Informatics. Proceedings : August 29-31, 2015 Subotica, Serbia / ed. Anikó Szakál. - p. 73-78. -
További szerzők:Garai Ábel (1980-) (informatikus, közgazdász) Péntek István (1988-) (programtervező informatikus)
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3.

001-es BibID:BIBFORM070102
Első szerző:Adamkó Attila (informatikus)
Cím:Common open telemedicine hub and infrastructure with interface recommendation / Attila Adamkó, Ábel Garai, István Péntek
Dátum:2016
Megjegyzések:Stable cloud services and global infocommunicational infrastructure capabilities are enabling for the first time in our history the worldwide interoperability of classical medical systems, telemedicine instruments, health-related smart devices and smartphone-apps. In this paper we present a unified service architecture with the corresponding common interface recommendation for integrating classical medical systems from the following areas: interconnection of telemedicine systems, hospital information systems, legacy health care systems, smart health devices and health-related smartphone-apps. Emerging IoT-technologies open new horizons also for medical care solutions. Stable cloud architecture technologies deliver the comprehensive back-end infrastructural basis for dealing efficiently with the foreseeable human medical data boom. Classical medical supply chains and institutions will establish and open IT-interconnection capabilities interacting with smart end-user devices. Collection, aggregation and evaluation of massive health-related data streams call for common architectural platform with unified interfaces. Telemedicine solutions with IoT connectivity handle massive number of active device connections and produce significant unstructured sensor data-flows. As different sensor data implies varying data transmission, processing and storage techniques, there is a remarkable demand for a general and common interface standard. This will enable the flawless interaction among classical legacy medical systems, industrial telemedicine devices, smart-devices and smartphone health-apps via both internet (LAN, WLAN, GSM, etc.) and peer-to-peer (Bluetooth, NFC, etc.) connections. Inevitably arise security and ethical considerations concerning access of sensitive medical data with regard to different domestic and regional regulations. Recent remarkable innovations, like direct Bluetooth LE internet browser support, highlights the further perspectives of the described common open telemedicine hub and infrastructure with the recommended interface hierarchy.
ISBN:978-1-5090-2380-6
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Megjelenés:SACI 2016 11th IEEE International Symposium on Applied Computational Intelligence and Informatics : Proceedings : May 12-14, 2016 Timişoara, Romania / ed. Anikó Szakál. - p. 385-390. -
További szerzők:Garai Ábel (1980-) (informatikus, közgazdász) Péntek István (1988-) (programtervező informatikus)
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4.

001-es BibID:BIBFORM115665
Első szerző:Enler, Emirhan
Cím:Building Smart City Solutions with Focus on Health Care and GDPR / Emirhan Enler, Istvan Pentek, Attila Adamko
Dátum:2021
Megjegyzések:Novel solutions surrounding the Smart City Architectures derived from personal data have always been a challenging topic in recent decades. Both the volatility of the subject technologies implementing the architecture and the sensitivity of human-sourced data can be considered as the key contributors to these challenges. In this research, the goal was to identify antipatterns related to the possible architecture for a Smart City Solution by applying innovative software development methodologies and questioning proposed architecture's efficacy in the fields of scalability, maintainability, autonomy, testability, and security via provisioning resolutions to the identified antipatterns. Research then focuses on applicable data management, sharing, and anonymization concepts that comply with the General Data Protection Regulation. The core concept of Data Protection allows the architecture to utilize a high-level abstraction business definition and extensibility. The envisioned characteristics of the aforementioned architecture solely rely on the disciplinary fields of Service Oriented Architecture and Component Oriented Development methodologies. This approach has been followed to issue a trend compatible solution which provides a well-defined foundation for advancements required by the evolving technology dependencies. After the architectural proposal, research carries on to the possible utilization of Smart City Solution as a Health Care service and consumption of the data that is provided by this service. The utilization gives an example of a healthcare workflow where the service abstraction plays a key role.
ISBN:978-3-030-69697-9
Tárgyszavak:Műszaki tudományok Informatikai tudományok könyvfejezet
könyvrészlet
smart city
gdpr
iot
Bio-sensory data
Cloud architecture
Megjelenés:Handbook of Smart Cities / Juan Carlos Augusto. - p. 779-801. -
További szerzők:Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus)
Pályázati támogatás:EFOP-3.6.1-16-2016-00022
EFOP
Internet cím:DOI
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5.

001-es BibID:BIBFORM091824
035-os BibID:(WoS)000662230900056 (Scopus)85096351109
Első szerző:Enler, Emirhan
Cím:Healthcare Framework for Smarter Cities with bio-sensory data / Emirhan Enler, Istvan Pentek, Attila Adamko
Dátum:2020
ISBN:978-1-7281-8213-1
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Megjelenés:11th International Conference on Cognitive Infocommunications : CogInfoCom 2020 : proceedings. - p. 337-342. -
További szerzők:Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus)
Internet cím:DOI
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6.

001-es BibID:BIBFORM075295
035-os BibID:(WoS)000460787000032 (Scopus)85063088381
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:Reflective bio-sensory signal-processing : implementing personal assisted e-Health / Ábel Garai, Attila Adamkó, István Péntek
Dátum:2018
Megjegyzések:In this study, we focus on the interconnection of the cloud-based m-health appliances to the physically separated traditional hospital information systems. Our paper relies on the interoperability between the different healthcare domains. The IoT revolution brings new healthcare solutions to the hands of the healthcare providers. We are presenting our reflective bio-sensory healthcare-specific signal-processing architecture, we are focusing on a personal assisted e-Health solution. In this paper, we describe the benefits and limitations of our Med-i-Hub system and its underlying architectural landscape. Our complex innovative solution is scalable, flexible and expansible. The research team implemented the Med-i-Hub on microservice architecture, avoiding problems caused by monolithic systems. Med-i-Hub enables to collect and analyze health-related data from fitness trackers, smart scales, and further devices. The Med-i-Hub application enables the real-time health signal processing, data aggregation, and analysis. The detailed personal assistant allows the users to monitor and follow the available bio-sensory signals. Through the Med-i-Hub the users can share their health-related signal data with their healthcare provider.
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
Megjelenés:Proceedings of the 9th IEEE International Conference on Cognitive Infocommunications. - p. 1-6.
További szerzők:Adamkó Attila (1978-) (informatikus) Péntek István (1988-) (programtervező informatikus)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
DOI
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7.

001-es BibID:BIBFORM075399
035-os BibID:(WOS)000466165100010 (Scopus)85069664541
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:Revolutionizing healthcare with IoT and cognitive, cloud-based telemedicine / Ábel Garai, István Péntek, Attila Adamkó
Dátum:2019
ISSN:1785-8860
Megjegyzések: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 in healthcare. This research program is dedicated to deliver the suitable solution. 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 general purpose of this experiment is building an augmented, adaptive, cognitive and also universal healthcare information technology ecosphere. This study structures the actual questions and answers regarding the missing links and gaps between the emerging Sensor Hub technology and the traditional hospital information systems. The Internet-of-Things space penetrated the personal and industrial environments. The e-Health smart devices are neither widely accepted nor deployed in the ordinary healthcare service. This paper reviews the major technological burdens and proposes necessary actions for enhancing the healthcare service level with Sensor Hub and Internet-of-Things technologies. Hereby we report the studies on varying simplex, duplex, full-duplex, data package- and file-based information technology modalities establishing stable system interconnection among clinical instruments, healthcare systems and eHealth smart devices in trilateral cooperation comprising the University of Debrecen Department of Information Technology, Semmelweis University Second Paediatric Clinic and T-Systems Healthcare Competence Center Central and Eastern Europe.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Cognitive healthcare
telemedicine
telecare
e-health
IoT
sensor hub
hybrid cloud
healthcare IT
Megjelenés:Acta Polytechnica Hungarica. - 16 : 2 (2019), p. 163-181. -
További szerzők:Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
DOI
Szerző által megadott URL
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8.

001-es BibID:BIBFORM075298
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:Cognitive cloud-based telemedicine system / A. Garai, I. Péntek, A. Adamkó
Dátum:2019
Megjegyzések: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.
ISBN:978-3-319-95995-5
Tárgyszavak:Műszaki tudományok Informatikai tudományok könyvfejezet
könyvrészlet
Megjelenés:Cognitive Infocommunications, Theory and Applications / ed. Ryszard Klempous, Jan Nikodem, Péter Zoltán Baranyi. - p. 305-328. -
További szerzők:Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus)
Internet cím:Szerző által megadott URL
DOI
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9.

001-es BibID:BIBFORM075401
035-os BibID:(Scopus)85034621884
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:A clinical system integration methodology for bio-sensory technology with Cloud architecture / Abel Garai, Istvan Pentek, Attila Adamko, Agnes Nemeth
Dátum:2017
ISSN:0324-721X
Megjegyzések: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-ofThings smart 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.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
telemedicine
interoperability
bio-sensory monitoring
hybrid cloud
Hospital Information System
Health Level Seven
spirometry
Internet of Things
Megjelenés:Acta Cybernetica. - 23 : 2 (2017), p. 513-536. -
További szerzők:Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus) Németh Ágnes (gyermekpulmonológus)
Internet cím:Szerző által megadott URL
DOI
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10.

001-es BibID:BIBFORM070101
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:Case Study on Motivation in IT Education through University-Industry Telemedicine Partnership : In: Report of Conference XL. National Conference on Teaching Mathematics, Physics and Computer Sciences August 22-24, 2016 Székesfehérvár, Hungary / Ábel Garai, Attila Adamkó, István Péntek ; compiled by Éva Hajnal, György Hudoba
Dátum:2016
ISSN:1589-7389
Tárgyszavak:Műszaki tudományok Informatikai tudományok idézhető absztrakt
folyóiratcikk
Megjelenés:Teaching Mathematics and Computer Science. - 14 : 2 (2016), p. 271. -
További szerzők:Adamkó Attila (1978-) (informatikus) Péntek István (1988-) (programtervező informatikus) Hajnal Éva Hudoba György
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11.

001-es BibID:BIBFORM070100
035-os BibID:(WoS)000392535000032 (Scopus)85011076255
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:Cognitive telemedicine IoT technology for dynamically adaptive eHealth content management reference framework embedded in cloud architecture / Ábel Garai, Adamkó Attila, István Péntek
Dátum:2016
Megjegyzések:Emerging telemedicine frameworks with dynamically adaptive content management systems deliver the proper information at the time and place, when and where it is needed. Aggregated telemedicine sensory data is customized and dynamically presented to the suitable recipient. Such systems and methods have already been in some way available for scientific and industrial application. This presented paper extends the underlying adaptive eHealth content management methodology to the coherent structural implementation of weighted majority voting algorithm. This cognitive human-machine interaction drives the targeted dynamically adaptive eHealth content management system in runtime mode. Telemedicine embraces information technology and telecommunication solutions for the sake of serving healthcare services at remote locations outside of the premises of classical medical institutions. These systems produce and process exponentially growing amount of sensory data. Moreover, they support real-time processing which requires a dynamically scalable and fault tolerant architecture. Utilizing cognitive services, the suitable methods determine the adequate system landscape delivering the suitable medical information from the collected body-sensory data. The underlying methodology utilizes correlation-data between different factors, thus invoking eHealth customizable cognitive content management system. The paper also demonstrates the corresponding sociotechnical environment, the applied cognitive infocommunicational methodologies and the related adaptive technological elements. Finally, the future improvement potential and also the challenges of the presented dynamically adaptive eHealth content management system are analyzed in the paper thoroughly.
ISBN:978-1-5090-2645-6
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
könyvrészlet
IoT
Cognitive Telemedicine
Adaptive Content Management
Weighted Majority Voting Algorithm
Cloud Computing Architecture
eHealth
Megjelenés:7th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2016 : Proceedings / ed. Péter Baranyai. - p. 000187-000192. -
További szerzők:Adamkó Attila (1978-) (informatikus) Péntek István (1988-) (programtervező informatikus)
Internet cím:Szerző által megadott URL
DOI
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12.

001-es BibID:BIBFORM070097
035-os BibID:(Scopus)85018722641
Első szerző:Garai Ábel (informatikus, közgazdász)
Cím:Methodology for clinical integration of e-Health sensor-based smart device technology with cloud architecture / Ábel Garai, István Péntek, Attila Adamkó, Ágnes Németh
Dátum:2017
ISSN:1788-1994 1788-3911
Megjegyzések:The international healthcare systems interoperability is an unresolved technological area at the moment. This paper demonstrates the results of the software engineering research forsimplex syntactic and semantic technical interoperability of hospital information systems, eHealth smart device technology and clinical telemedicine instruments through the recently developedTelemedicine 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 technology medical data exchange standards, like Health Level Seven, the adoption of an industry-wide open telemedicine syntactic and semantic interoperability standard is necessary. The research studied varying simplex, duplex, full-duplex, data package- and file-based information technology modalities establishing stable system interconnection among clinical instruments, healthcare systems and eHealth smart devices. This research is the manifestation of the trilateral cooperation of the University of Debrecen Department of Information Technology, Semmelweis University Second Paediatric Clinic and T-Systems Healthcare Competence Center Central and Eastern Europe. The developed experimental software engineering solution was embedded in hybrid cloud architecture after testing private cloud Infrastructure-as-a-Service and Public Cloud Software-as-a-Service technical solutions.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Hybrid cloud architecture
Cloud Architecture
Hospital information system
Internet of things
Health Level Seven
Smart devices
Telemedicine
Spirometry
Megjelenés:Pollack Periodica. - 12 : 1 (2017), p. 69-80. -
További szerzők:Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus) Németh Ágnes
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DOI
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