Telemedicine for improving access to health care in resource-constrained areas : from individual diagnosis to strengthening health systems

In many developing countries there is an acute shortage of trained medical specialists. This does not only hamper individual patients’ access to medical diagnostics but furthermore limits the development of health systems because a major role of the specialists is the provision of continuous medical education of health care personnel. The rapid development of information and communication technologies has enabled radically new forms of virtual collaboration at a distance. So-called telemedicine enables us today to transmit knowledge to the patient rather than to only transport patients to the centres where the knowledge is available; this has promising implications in particular for remote and under-served areas. Initiated by a request from a Swiss surgeon from Solomon Islands, a project for supporting the hospital in Honiara, capital of Solomon Islands, with pathology diagnoses was started between Honiara and the Department of Pathology in Basel in 2001. After a successful start this pilot project found broad interest, and the Internet platform that had been developed was soon utilised by projects from other countries and medical disciplines. Thus, questions arose about the diagnostic accuracy of such remote diagnoses as well as about their acceptance and impact on the local health care system. The work presented here was initiated on this background. It analyses the applicability of telemedicine in the context of resource-constrained areas and in particular the possibilities to extend its impact from improving individual diagnosis towards strengthening health care systems. A central part of this project was the development of iPath, an Internet- and email-based telemedicine platform, which facilitates medical consultations, knowledge exchange and continuous education on a global scale. A particular emphasis was put on the applicability and accessibility for users from developing countries with limited infrastructure and network connectivity. The complete software was released under an open-source licence in order to allow unrestricted reuse for other institutions. The diagnostic accuracy of this form of telemedicine was studied in two projects from the field of pathology. A retrospective review of over 200 glass slides from each project revealed complete diagnostic concordance between the telemedical diagnosis and review diagnosis in 69% and 85% respectively. Clinically relevant discrepancies were found in 8% and 3.3% of all examinations. Selection of images by the non-expert and communication were found to have the greatest impact on diagnostic accuracy. Both factors can be addressed by training and organisation of workflow. In comparison to submitting material for pathological examination by courier, the turn-around time could be reduced from weeks to days or hours. Besides the more rapid availability of diagnosis, telemedicine enabled a direct dialogue between the surgeon and the pathologist and thus facilitated an implicit permanent medical education. The educational aspects of telemedicine were studied within the scope of a tele-dermatology project in South Africa. Distance collaboration with a dermatologist empowered a general practitioner based in a rural area to diagnose and treat a majority of patients with dermatological problems. Besides the direct benefit of saving the patients the cost of transportation to visit the dermatologist, the general practitioner could strengthen his own diagnostic skills under direct guidance and quality control of a specialist. As a consequence he will be able to treat more patients locally, close to their homes and families. The whole project was implemented within the local health system in order to facilitate a future inclusion of other primary care facilities. Regional telemedicine networks play a major role to ensure relevance and acceptability of consultative and educational telemedicine. Within the scope of the Ukrainian Swiss Perinatal Health Program a telemedicine component was included, and it was found that the use of regional language as well as inclusion of the regional specialists are important for the acceptance of telemedicine and should not be neglected in a era of globalisation. The presented results demonstrate that save and reliable telemedicine can be implemented with limited resources. Telemedicine is suitable in particular to strengthen existing international collaborations and to support professionally isolated medical specialists. Regional collaboration and inclusion of regional specialists are desirable if telemedicine shall help to strengthen health care systems. The application of telemedicine should not only focus on providing care to individual patients, but should explicitly incorporate skills development and capacity building of primary care staff. Organisation of work flow and communication have been found to be the most challenging task for the implementation of telemedicine networks. Resources must be invested not only in technology but more importantly in training and organisation. Utilisation of existing technological infrastructure is advisable wherever possible and greatly reduces the complexity of providing support and maintenance. The presented telemedicine platform provides an efficient tool for the organisation of interdisciplinary, regional and international telemedicine networks. We hope that the unrestricted availability of the software developed during this project will enable other institutions to utilise it for their own purpose and that they will thus be able to allocate resources on the organisation of workflow rather than technology

On the Use of XML in Medical Imaging Web-Based Applications

The rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the Extensible Markup Language (XML) language in web-based applications that aid in diagnosis or treatment of patients, considering how this protocol allows indexing and exchanging the huge amount of information associated with each medical case. The purpose of this paper is to point out the main advantages and drawbacks of the XML technology in order to provide key ideas for future web-based applicationsPeer ReviewedPostprint (author's final draft

Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: Present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review

Background: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine is rapidly expanding and promises to revolutionize patient care in the coming years. In addition, it has the ability to democratize high level medical care and make it accessible to all parts of the world.Main text: Among specialties of medicine, some like radiology were relatively quick to adopt AI whereas others especially pathology (and surgical pathology in particular) are only just beginning to utilize AI. AI promises to play a major role in accurate diagnosis, prognosis and treatment of cancers. In this paper, the general principles of AI are defined first followed by a detailed discussion of its current role in medicine. In the second half of this comprehensive review, the current and future role of AI in surgical pathology is discussed in detail including an account of the practical difficulties involved and the fear of pathologists of being replaced by computer algorithms. A number of recent studies which demonstrate the usefulness of AI in the practice of surgical pathology are highlighted.Conclusion: AI has the potential to transform the practice of surgical pathology by ensuring rapid and accurate results and enabling pathologists to focus on higher level diagnostic and consultative tasks such as integrating molecular, morphologic and clinical information to make accurate diagnosis in difficult cases, determine prognosis objectively and in this way contribute to personalized care

MACHINE LEARNING APPROACHES ALONG THE RADIOLOGY VALUE CHAIN – RETHINKING VALUE PROPOSITIONS

Radiology is experiencing an increased interest in machine learning with its ability to use a large amount of available data. However, it remains unclear how and to what extent machine learning will affect radiology businesses. Conducting a systematic literature review and expert interviews, we compile the opportunities and challenges of machine learning along the radiology value chain to discuss their implications for the radiology business. Machine learning can improve diagnostic quality by reducing human errors, accurately analysing large amounts of data, quantifying reports, and integrating data. Hence, it strengthens radiology businesses seeking product or service leadership. Machine learning fosters efficiency by automating accompanying activities such as generating study protocols or reports, avoiding duplicate work due to low image quality, and supporting radiologists. These efficiency improvements advance the operational excellence strategy. By providing personnel and proactive medical solutions beyond the radiology silo, machine learning supports a customer intimacy strategy. However, the opportunities face challenges that are technical (i.e., lack of data, weak labelling, and generalisation), legal (i.e., regulatory approval and privacy laws), and persuasive (i.e., radiologists’ resistance and patients’ distrust). Our findings shed light on the strategic positioning of radiology businesses, contributing to academic discourse and practical decision-making

Prototypes for Content-Based Image Retrieval in Clinical Practice

Content-based image retrieval (CBIR) has been proposed as key technology for computer-aided diagnostics (CAD). This paper reviews the state of the art and future challenges in CBIR for CAD applied to clinical practice

The Empirical Foundations of Teleradiology and Related Applications: A Review of the Evidence

Introduction: Radiology was founded on a technological discovery by Wilhelm Roentgen in 1895. Teleradiology also had its roots in technology dating back to 1947 with the successful transmission of radiographic images through telephone lines. Diagnostic radiology has become the eye of medicine in terms of diagnosing and treating injury and disease. This article documents the empirical foundations of teleradiology. Methods: A selective review of the credible literature during the past decade (2005?2015) was conducted, using robust research design and adequate sample size as criteria for inclusion. Findings: The evidence regarding feasibility of teleradiology and related information technology applications has been well documented for several decades. The majority of studies focused on intermediate outcomes, as indicated by comparability between teleradiology and conventional radiology. A consistent trend of concordance between the two modalities was observed in terms of diagnostic accuracy and reliability. Additional benefits include reductions in patient transfer, rehospitalization, and length of stay.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140295/1/tmj.2016.0149.pd

Focal Spot, Spring 1999

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