The use of communication technology in medicine

NYNEX Science and Technology is engineering a multi-layered approach to multimedia communications by combining high-resolution images, video, voice, and text into a new fiber-optic service. The service, Media Broadband Service (MBS), is a network-based visual communications capability. It permits real time sharing of images in support of collaborative work among geographically dispersed locations. The health care industry was identified as a primary target market due to their need for high resolution images, the need to transport these images over great distances, and the need to achieve the transport in a short amount of time. The NYNEX Corporation, the current state of the MBS project, including the market needs driving the development of MBS, the overall design of the service, its current implementation and development status, and the progress of MBS projects underway for various customers participating in the initial service offering are described

Implementation of medical imaging with telemedicine for the early detection and diagnoses of breast cancer to women in remote areas

Nowadays, the cancer topic has become a global concern. Furthermore, breast cancer persists to be the top leading cause of death to women population and the second cause of cancer death after the lung cancer globally. Various technologies and techniques have been searched, developed and studied over the years to detect the disease at the early stage; the early diagnosis saves many lives in both developed and developing countries. The detection of cancer through a screening process before its symptoms emerge increases the survival rate dramatically (Li, Meaney and Paulsen). Moreover, sufficient knowledge of the disease, qualified staff, accurate, appropriate treatment and diagnosis contribute to the successful cure of the disease; however, the cancer treatment is not affordable by many and sometimes not available to the very needy, and more precisely in developing countries. In this research, we aimed to explore the early detection of breast cancer using the new image compression algorithm: DYNAMAC, a compression tool that finds its basis in nonlinear dynamical systems theory; we implemented this algorithm through the D-transform, a digital sequence used to compress the digital media (Wang and Huang) & (Antoine, Murenzi and Vandergheynst). The goal is to use this method to analyze the average profile of diseased and healthy breast images obtained from a digital mammography to detect diseased tissues. After the detection of cancerous tumors, we worked to establish a remote care to women victims of breast cancer using the Telecommunication infrastructure through primarily Teleradiology and the Next Generation Internet (NGI) technology. Over the methods and techniques previously used in the area of medical imaging techniques, DYNAMAC algorithm is the most easily implemented along with its features that include cost saving in addition to best meeting the requirements of the breast imaging technology

Remote Inspection of Medical Images through High-speed Networks

In health care practice, diagnosis and therapy tasks are founded on the analysis of medical images. Traditionally, such analysis was performed using optical devices like light boxes or microscopes installed in clinical rooms or laboratories. In the last decade, personal computers have revolutioned this practice and today medical imaging is based on soft-copies of image material rather than films or specimens. Acquisition, storage and display of medical images are performed through digital computers and/or workstations. More recently, the introduction of networked computers has lead to the concept of telemedicine, that is making available remote medical facilities through the use of personal computers and digital networks. In this document we analyse the problem of real-time performance in telemedicine applications and we propose a new architecture that allows the interactive and real-time exchange of medical images. This architecture is based on a hierarchical database to store images, an high-speed network to transmit images and a navigation module allowing the user to dynamically select the portion and resolution of the images under inspection. In the second part of the document we describe, in particular, the prototype developed according to the described architecture and we discuss performance and optimization aspects

Chapter 8: Executive Summary

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63118/1/15305620252933437.pd

A high-speed wireless network used for telemedicine

Nowadays, there is growing interest in using telemedicine to provide non-face-to-face healthcare for patients. The emergence and development of WLAN (Wireless Local Area Network) technology, which supports high-speed wireless communications within the existing Intranet that covers the healthcare system, makes it possible to provide routine body check-ups for patients who need long-term monitoring. In this thesis, we present the design of a wireless telemedicine system using WLAN technology. [Continues.

Sistemas interativos e distribuídos para telemedicina

doutoramento Ciências da ComputaçãoDurante as últimas décadas, as organizações de saúde têm vindo a adotar continuadamente as tecnologias de informação para melhorar o funcionamento dos seus serviços. Recentemente, em parte devido à crise financeira, algumas reformas no sector de saúde incentivaram o aparecimento de novas soluções de telemedicina para otimizar a utilização de recursos humanos e de equipamentos. Algumas tecnologias como a computação em nuvem, a computação móvel e os sistemas Web, têm sido importantes para o sucesso destas novas aplicações de telemedicina. As funcionalidades emergentes de computação distribuída facilitam a ligação de comunidades médicas, promovem serviços de telemedicina e a colaboração em tempo real. Também são evidentes algumas vantagens que os dispositivos móveis podem introduzir, tais como facilitar o trabalho remoto a qualquer hora e em qualquer lugar. Por outro lado, muitas funcionalidades que se tornaram comuns nas redes sociais, tais como a partilha de dados, a troca de mensagens, os fóruns de discussão e a videoconferência, têm o potencial para promover a colaboração no sector da saúde. Esta tese teve como objetivo principal investigar soluções computacionais mais ágeis que permitam promover a partilha de dados clínicos e facilitar a criação de fluxos de trabalho colaborativos em radiologia. Através da exploração das atuais tecnologias Web e de computação móvel, concebemos uma solução ubíqua para a visualização de imagens médicas e desenvolvemos um sistema colaborativo para a área de radiologia, baseado na tecnologia da computação em nuvem. Neste percurso, foram investigadas metodologias de mineração de texto, de representação semântica e de recuperação de informação baseada no conteúdo da imagem. Para garantir a privacidade dos pacientes e agilizar o processo de partilha de dados em ambientes colaborativos, propomos ainda uma metodologia que usa aprendizagem automática para anonimizar as imagens médicasDuring the last decades, healthcare organizations have been increasingly relying on information technologies to improve their services. At the same time, the optimization of resources, both professionals and equipment, have promoted the emergence of telemedicine solutions. Some technologies including cloud computing, mobile computing, web systems and distributed computing can be used to facilitate the creation of medical communities, and the promotion of telemedicine services and real-time collaboration. On the other hand, many features that have become commonplace in social networks, such as data sharing, message exchange, discussion forums, and a videoconference, have also the potential to foster collaboration in the health sector. The main objective of this research work was to investigate computational solutions that allow us to promote the sharing of clinical data and to facilitate the creation of collaborative workflows in radiology. By exploring computing and mobile computing technologies, we have designed a solution for medical imaging visualization, and developed a collaborative system for radiology, based on cloud computing technology. To extract more information from data, we investigated several methodologies such as text mining, semantic representation, content-based information retrieval. Finally, to ensure patient privacy and to streamline the data sharing in collaborative environments, we propose a machine learning methodology to anonymize medical images

Design of a Multimedia Telemedicine System for Inter-hospital Emergency Consultation

Purpose: The telemedicine systems for both timely decision of patient transfer and accurate direction of patient treatment through remote consultation are required for better patient care in emergency situation. In this paper, we present noble design methods to implement the emergency telemedicine system suitable for emergency consultation. Methods: The prototype system designed can encompass multimedia components including radiological images, medical record, biological signals, video conferencing and full-quality video, as well as can transmit changing data in real-time. In the first stage, experimental tests at the local networks analyzed the technical aspects of designed systems, and optimize the parameters subjectively to run them with affordable error. In the Second stage, two medical emergency cases were examined between two hospitals, the first was advanced airway management, and second was the management a patient with cardiac problem. Results: Experimental tests at the local networks, all multimedia components can be represented to both terminals without any problems. Two cases of clinical experiment have performed to demonstrate the clinical usefullness. Orotracheal Intubation was done successfully by local hospital physician who was directed by specialist at distant hospital. The second case, a patient with cardiac problem was good managed by specialist via this telemedicine system without any problems. Conclusion: Inter-hospital experiments demonstrate the feasibility to be effectively used at emergency department.ope

A training effectiveness evaluation of LeatherNet

The author evaluates a Distributed Interactive Simulation (DIS) system known as LeatherNet to determine its abilities in fulfilling the long term Modeling and Simulation (M&S) goals of the United States Marine Corps. LeatherNet is a DIS compatible, virtual simulation system that is being developed to demonstrate the capabilities of today's simulation technology for military applications. The author developed an evaluation methodolgy that evaluates LeatherNet's ability to enhance traditional Marine Corps training. An evaluation was conducted by subject matter experts at the Marine Corps Air Ground Combat Center, 29 Palms, Ca. Analysis of results show that LeatherNet is effective in enhancing traditional live fire training methods despite its limited development. The author presents lessons learned related to this type of evaluation, and provides recommendations for further research. Additionally, the author recommends actions to be taken by the Marine Corps to optimize the benefits of LeatherNet and similar simulation products. (AN)http://archive.org/details/atrainingeffecti1094535153NANAU.S. Marine Corps (U.S.M.C.) author