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 and detailed system provides the ability to real-time health-monitoring and in-depth health analyzing through open application programming interfaces. The telemedicine hub system makes it easier to integrate the Internet of things capability into the operating health care systems

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 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

Cloud Service Architecture Optimization Methodology for Telemedicine and e-Health Interoperability

Mobile healthcare appliances’ bulk interconnection is beneficial both on individual and on population level resulting in enhanced healthcare prognosis models. Theflawlessmobilehealthcareinformation-exchangeonalargerscale calls for improved healthcare data interchange standards and also for suitable architectural design. The difficulties of healthcare interoperability standards are already discussed thoroughly in previous articles. Therefore, this article focuses on the mathematical methodology for e-Health service architecture optimization. Ingeneral, thisresearchprogramaimstoestablishthescientific basis for the global cloud-based e-Health bio-sensory devices interconnection. In particular, this paper focuses on the underlying cloud service architecture’s optimization. The contextual basis of this service architecture optimization methodology relies upon the Open System Interconnection model. During this procedure the service architecture solution candidates are described in diagrams with numbered subcomponents. These diagrams representing the architectural solution including the referenced subcomponents are mapped into directed graphs and later into adjacency matrices. The corresponding availability matrices derive from the adjacency matrices after the associated matrix operations, such as matrix multiplication, signum and sum functions. Finally, the comparison of these availability matrices results in the identification of the optimal architecture design. This technique offers the appropriate mathematicalmethodologyforthee-Healthservicearchitectureoptimization. Statistical optimization methodologies already existed for service architecture optimization. However, this presented optimization procedure delivers a comprehensive solution that is applicable also on a system-level, guiding to establish the prerequisites for the systematical interconnection of e-Health smart devices

Scientific Methodology aiming Systems Interoperability in Complex Healthcare Infocommunication with regard to Cross-Platform Integration of Distinct Telemedicine Appliances

As per actual extensive shortages of skilled medical staff are foreseen in the aging western societies. There is an urgent need for the expansion of the available healthcare ecosystems to balance the dramatic decline of the medical workforce. Cross-platform interoperability represents a key success factor for the entire healthcare information technology supply chain. Interoperability concerns international health organizations, national health institutions, social care centers, hospitals, nursing homes, general practitioners, diagnostic laboratories, pharmacies, social security bodies, medical insurance companies and emergency services. They all share their medical information with each other. However, they store their information mostly in different forms and formats. Also, from technical point of view, data transmission modalities and elementary data representation vary from institute to institute and from country to country. Healthcare interoperability relies upon international standards. These standards are required to be extended for hosting telemedicine and telemonitoring technology. Telemedicine appliances exchange medical information in varying data formats from diverse sources. These sources may include body area networks, thermometers, auriscopes, tympanometer, ophthalmoscopes, stethoscopes, weighting scales, webcams, cardiotachometers or sphygmomanometers. Multiple interoperability recommendations, policies, guidelines, standards and regulations are publicly available. Different healthcare data exchange regulations apply at international, regional and national levels. This research develops comprehensive healthcare interoperability methodology. This experimental program elaborates a distinct healthcare interoperability service prototype. The article evaluates through this service prototype the theoretical possibility of general healthcare interoperability on a global scale

Integrating healthcare IoT smart devices and telemedicine instruments into hospital information systems with the Cloud architecture

Nemzetközi szabványon nyugvó, Cloud-ba beágyazott egészségügyi interoperabilitási keretrendszer prototípusának elméleti és gyakorlati kialakítását tűztem ki kutatásom elsődleges céljának. Másodsorban, ezen keretrendszer alapot kell, hogy szolgáljon a nemzetközi egységes egészségügyi tér kialakításához.The primary goal of my research was the theoretical and practical elaboration of healthcare interoperability framework prototype embeddeed in the Cloud architecture with international standards taken into account. Second goal of my research was this framework to deliver basis for international single healthcare space.N