Knowledge and awareness of radiography students towards advancement in the era

Background: Teleradiology is the computerized conveyance of radiological images of patients like x-ray digital radiography, Computed tomography (CT), Magnetic resonance imaging (MRI), Ultrasound imaging (USI), and Atomic medication imaging (AMI) pictures starting with one spot then onto the next with the end goal of translation and counsellor.Methods: A prospective, comparative, questionnaire-based investigation was carried out in the Department of Radiological Imaging Techniques. A validated questionnaire was circulated among undergraduate and postgraduate Radiography students in the college of paramedical sciences, Teerthanker Mahaveer University. The study incorporated multiple-choice questions (MCQs) identified with segment attributes (age, sex), scholastic capability, and Information on Teleradiology, PACS, and DICOM.Results: Out of the total of 157 participants 142 (90.44%) filled the questionnaire which was undergraduate and postgraduate students of Radiological and Imaging Techniques filled questionnaire. To assess knowledge about teleradiology, PACS, and DICOM which they gain during theory classes and from hospital postings. There were 89 (62.7%) males and 53 (37.3%) females with the age ranging from 18 to 28, mean of 23 years. The statistical data of all participants gave the correct answer is 85.48% we can say the level of knowledge and awareness of radiography students towards advancement in the era is very good.Conclusions: Teleradiology is the computerized conveyance of radiological images of patients, and pictures starting with one spot then onto the next with the end goal of translation and counselling. The finding in this study indicates that radiography students have optimum knowledge with 85.48%

Future of Tele-echocardiography

Telemedicine is defined as the ‘delivery of health care and sharing of medical knowledge over a distance using telecommunication systems’. Echocardiography is often used to diagnose and exclude important cardiac diagnoses in adults and children. Evolving telemedicine technology has boosted access to echocardiography and has created a network that offers many possibilities for clinical, research and teaching activities.The two primary modes of telemedicine practise are ‘ store and forward’ and ‘real time’ videoconferencing. Using these technologies, relevant, up-to-date scientific information is instantly available for analysis and interaction. Studies have also shown these to be accurate, cost effective, improves patient care, enhances echocardiography quality and sonographer proficiency and promotes practice expansion.The growing use of technology such as smart phones, laptops and computer tablets as well as newer technologies like cloud computing, picture archiving computer systems(PACS) and the standardization of medical images(DICOM) has fuelled the now accelerating specific demands for tele-echocardiography. However, all these are not without challenges and obstacles. Some of these include lack of standardization of telemedicine components, confusing medico-legal and licensure issues, privacy/confidentiality, poor reimbursement, training issues as well as attitude and acceptance.These issues need to be addressed by all those involved in medical practice. Clinicians must work with sonographers, medical IT experts, hospital management and hospital physicists as well as manufacturers and insurance companies to ensure that the new system is integrated as an extra function within ultrasound consoles. National and international societies such as the European Society of Cardiology (ESC) and the American College of Cardiology (ACC) could play a role in bringing everyone together and define the necessary training programmes. In conclusion, the revolution in digital technology is rapidly changing the world of telecommunications. Tele-echocardiography has a bright future to become an integrated part of our clinical available echocardiographic tool set – in a matter of tim

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

The vast amount of data produced by today's medical imaging systems has led medical professionals to turn to novel technologies in order to efficiently handle their data and exploit the rich information present in them. In this context, artificial intelligence (AI) is emerging as one of the most prominent solutions, promising to revolutionise every day clinical practice and medical research. The pillar supporting the development of reliable and robust AI algorithms is the appropriate preparation of the medical images to be used by the AI-driven solutions. Here, we provide a comprehensive guide for the necessary steps to prepare medical images prior to developing or applying AI algorithms. The main steps involved in a typical medical image preparation pipeline include: (i) image acquisition at clinical sites, (ii) image de-identification to remove personal information and protect patient privacy, (iii) data curation to control for image and associated information quality, (iv) image storage, and (v) image annotation. There exists a plethora of open access tools to perform each of the aforementioned tasks and are hereby reviewed. Furthermore, we detail medical image repositories covering different organs and diseases. Such repositories are constantly increasing and enriched with the advent of big data. Lastly, we offer directions for future work in this rapidly evolving field

Serviços de imagem médica suportados na cloud

Mestrado em Engenharia de Computadores e TelemáticaHoje em dia, as instituições de cuidados de saúde, utilizam a telemedicina para suportar ambientes colaborativos. Na área da imagem médica digital, a quantidade de dados tem crescido substancialmente nos últimos anos, requerendo mais infraestruturas para fornecer um serviço com a qualidade desejada. Os computadores e dispositivos com acesso à Internet estão acessíveis em qualquer altura e em qualquer lugar, criando oportunidades para partilhar e utilizar recursos online. Uma enorme quantidade de processamento computacional e armazenamento são utilizados como uma comodidade no quotidiano. Esta dissertação apresenta uma plataforma para suportar serviços de telemedicina sobre a cloud, permitindo que aplicações armazenem e comuniquem facilmente, utilizando qualquer fornecedor de cloud. Deste modo, os programadores não necessitam de se preocupar onde os recursos vão ser instalados a as suas aplicações não ficam limitadas a um único fornecedor. Foram desenvolvidas duas aplicações para tele-imagiologia com esta plataforma: repositório de imagens médicas e uma infraestrutura de comunicações entre centros hospitalares. Finalmente, a arquitetura desenvolvida é genérica e flexível permitindo facilmente a sua expansão para outras áreas aplicacionais e outros serviços de cloud.Healthcare institutions resort largely, nowadays, to telemedicine in order to support collaborative environments. In the medical imaging area, the huge amount of medical volume data has increased over the past few years, requiring high-performance infrastructures to provide services with required quality. Computing devices and Internet access are now available anywhere and at anytime, creating new opportunities to share and use online resources. A tremendous amount of ubiquitous computational power and an unprecedented number of Internet resources and services are used every day as a normal commodity. This thesis presents a telemedicine service platform over the Cloud that allows applications to store information and to communicate easier, using any Internet cloud provider. With this platform, developers do not concern where the resources will be deployed and the applications will not be restricted to a specific cloud vendor. Two tele-imagiologic applications were developed along with this platform: a medical imaging repository and an interinstitutional communications infrastructure. Lastly, the architecture developed is generic and flexible to expand to other application areas and cloud services

Arquiteturas federadas para integração de dados biomédicos

Doutoramento Ciências da ComputaçãoThe last decades have been characterized by a continuous adoption of IT solutions in the healthcare sector, which resulted in the proliferation of tremendous amounts of data over heterogeneous systems. Distinct data types are currently generated, manipulated, and stored, in the several institutions where patients are treated. The data sharing and an integrated access to this information will allow extracting relevant knowledge that can lead to better diagnostics and treatments. This thesis proposes new integration models for gathering information and extracting knowledge from multiple and heterogeneous biomedical sources. The scenario complexity led us to split the integration problem according to the data type and to the usage specificity. The first contribution is a cloud-based architecture for exchanging medical imaging services. It offers a simplified registration mechanism for providers and services, promotes remote data access, and facilitates the integration of distributed data sources. Moreover, it is compliant with international standards, ensuring the platform interoperability with current medical imaging devices. The second proposal is a sensor-based architecture for integration of electronic health records. It follows a federated integration model and aims to provide a scalable solution to search and retrieve data from multiple information systems. The last contribution is an open architecture for gathering patient-level data from disperse and heterogeneous databases. All the proposed solutions were deployed and validated in real world use cases.A adoção sucessiva das tecnologias de comunicação e de informação na área da saúde tem permitido um aumento na diversidade e na qualidade dos serviços prestados, mas, ao mesmo tempo, tem gerado uma enorme quantidade de dados, cujo valor científico está ainda por explorar. A partilha e o acesso integrado a esta informação poderá permitir a identificação de novas descobertas que possam conduzir a melhores diagnósticos e a melhores tratamentos clínicos. Esta tese propõe novos modelos de integração e de exploração de dados com vista à extração de conhecimento biomédico a partir de múltiplas fontes de dados. A primeira contribuição é uma arquitetura baseada em nuvem para partilha de serviços de imagem médica. Esta solução oferece um mecanismo de registo simplificado para fornecedores e serviços, permitindo o acesso remoto e facilitando a integração de diferentes fontes de dados. A segunda proposta é uma arquitetura baseada em sensores para integração de registos electrónicos de pacientes. Esta estratégia segue um modelo de integração federado e tem como objetivo fornecer uma solução escalável que permita a pesquisa em múltiplos sistemas de informação. Finalmente, o terceiro contributo é um sistema aberto para disponibilizar dados de pacientes num contexto europeu. Todas as soluções foram implementadas e validadas em cenários reais

Future developments and trends in use of picture archiving and communication systems

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University London.Objectives: This study identifies modern information technologies that can improve the clinical practice of Picture Archiving and Communication Systems (PACS) and determines the approaches that are needed to improve the functionality of current PACS to provide better next generation PACS and to improve the future of radiology practices and workflow with future PACS generations. Method: A parallel mixed method approach was adopted including qualitative method (semi-structured interviews), quantitative method (questionnaire survey) and observation of online discussion groups on PACS. Five databases were searched to find salient literature, including Science Direct, Springer Link, Scopus, CINAHL Plus and Google Scholar. Six radiologists were interviewed and questionnaires were collected from 120 radiologists. Four online discussion groups related to PACS were monitored via LinkedIn. The data were analysed thematically using the thematic analysis method. Finally, a focus group was held with a separate group of radiologists to validate the findings. Results: Eight themes emerged from the thematic analysis of the data: (1) limitations of traditional PACS; (2) user needs and requirements that can increase PACS functionality; (3) Web based solutions of PACS; (4) PACS on mobile phones; (5) Vendor Neutral Archive (VNA); (6) full integration of voice recognition in PACS; (7) backup solutions for the system and (8) continuous training for PACS users. Discussion: With the development of healthcare information and communication technology (ICT) and with the increased demands of the radiologists to expand PACS usability, traditional PACS must be updated to follow the changes. Modern technologies can provide better solutions to enhance the functionality of current PACS. The next generation of PACS can fulfil the future requirements of users. This study considers the issues between the needs and requirements of the users of a PACS system in the future and the developing solutions in ICT and the PACS industry. Moreover, highly developed PACS systems with advanced features will have a direct impact in changing and improving radiology workflow. Accordingly, a model has been developed that proposes new features for the next generation PACS system, which may be applied to the next generation radiology practice. The model was validated with the focus group and, by using a separate group of radiologists in another country, was determined to be generalisable. Conclusion: It is widely recognised that traditional PACS must be updated to adopt recent advances in ICT. This research has identified themes that, when incorporated, will enhance the functionality of PACS and radiology workflow and provide better quality clinical practice. The findings from this empirical research can be used: as recommendations to vendors; for technology development; and by medical institutes to consider aspects when undertaking implementation of PACS and training future radiologists. Keywords: 'Picture archiving and communication system’, PACS, Future trends, next generation, Organisational efficiency, Productivity, Clinical practice, Ubiquitous.Ministry of Health, Government of Kuwai

Cloud Computing: caracterización de los impactos positivos obtenidos por la utilización del modelo Cloud Computing por las pymes, basado en la tipología de modelos de negocio de este tipo de empresas

[ES] El Cloud Computing produce importantes beneficios a las empresas usuarias, en especial a las pymes. A través de él estas empresas tienen mejor acceso a las tecnologías de la información que necesitan para su funcionamiento. Según las estadísticas de utilización del cloud computing, estas empresas hacen un uso limitado de este tipo de servicios. El objetivo del presente trabajo es contribuir a potenciar la utilización del cloud por parte de las pymes. Según nuestro diagnóstico, el primer problema es del desconocimiento del cloud por parte de las pymes. Para abordar este problema se realiza una descripción del cloud computing y se analizan los beneficios que les proporciona a las empresas usuarias. Para contribuir a convencer a los empresarios de las ventajas que el uso del cloud les proporciona, se aborda el cloud desde una óptica empresarial y para ello se propone un modelo de negocio tipo para las pymes, para posteriormente relacionar los bloques en que se puede descomponer el citado modelo de negocio con las tecnologías de la información y la comunicación adecuadas para el funcionamiento de la empresa, accedidas a través del Cloud.Fons Gómez, FJ. (2014). Cloud Computing: caracterización de los impactos positivos obtenidos por la utilización del modelo Cloud Computing por las pymes, basado en la tipología de Modelos de Negocio de este tipo de empresas. http://hdl.handle.net/10251/38864.Archivo delegad