A systematic review of the methodologies used to evaluate telemedicine service initiatives in hospital facilities

Background: The adoption of telemedicine into mainstream health services has been slower than expected. Many telemedicine projects tend not to progress beyond the trial phase; there are a large number of pilot or project publications and fewer 'service' publications. This issue has been noted since 1999 and continues to be acknowledged in the literature. While overall telemedicine uptake has been slow, some services have been successful. The reporting and evaluation of these successful services may help to improve future uptake and sustainability. The aim of this literature review was to identify peer reviewed publications of deployed telemedicine services in hospital facilities; and to report, and appraise, the methodology used to evaluate these services

Telemedicine

Telemedicine is a rapidly evolving field as new technologies are implemented for example for the development of wireless sensors, quality data transmission. Using the Internet applications such as counseling, clinical consultation support and home care monitoring and management are more and more realized, which improves access to high level medical care in underserved areas. The 23 chapters of this book present manifold examples of telemedicine treating both theoretical and practical foundations and application scenarios

Global Diffusion of the Internet X: The Diffusion of Telemedicine in Ethiopia: Potential Benefits, Present Challenges, and Potential Factors

Delivery of healthcare services presents many challenges for governments in most developing countries. Some of these challenges include financial and human resources issues that might affect governments\u27 ability to manage and transform scarce resources to meet healthcare needs. Telemedicine, a healthcare delivery technology where physicians examine patients from distant locations using information technologies, is reported to be increasingly helpful in meeting the needs of the healthcare sector in developing nations such as those in sub-Saharan Africa. This conceptual study reports on the sectoral adoption of telemedicine in Ethiopia, a sub-Saharan African country. We examine the potential benefits of telemedicine diffusion in Ethiopia, addressing the country\u27s healthcare needs, and discussing the obstacles and challenges. Based on previous literature, as well as experiences drawn from other developing nations, we address three potential factors that could influence the diffusion of telemedicine in Ethiopia: active participation of institutions of higher education, Ethiopian foreign alliances, and government involvement. Although the initial successes are relatively small and involve isolated projects, they have been promising and have set the stage for researchers to investigate prevailing projects so as to gain better understanding of the aforementioned factors. Our study does not claim that telemedicine can solve all of Ethiopia\u27s medical challenges; however, we contend that it is a starting point to reach Africans that live in areas with limited medical facilities and personnel. Hence, our study could have far reaching implications as the world looks to help this country, and by extension, other developing countries, to overcome their medical challenges and join the information society

Telemedicine Evaluation

This paper examines the context and status of evaluation research in telemedicine, and it proposes a two-pronged strategy for addressing the critical policy and programmatic concerns in this field. It explains the evolution of evaluation research in the United States, and it describes a comprehensive typology and requirements for valid evaluation. Major impediments for definitive evaluation are discussed, together with a summary of major trends in empirical studies. Two concurrent strategies are proposed for producing definitive findings and for assessing the available empirical evidence. These consist of large-scale experimental studies and theoretical and empirical triangulation for assessing the available empirical evidence.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63176/1/tmj.2005.11.296.pd

Information Technology's Role in Global Healthcare Systems

Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects

Comparisons of communication in medical face-to-face and teleconsultations: a systematic review and narrative synthesis

The COVID-19 pandemic has brought telemedicine into mainstream medical practice (although questions remain over its role in a post-pandemic world). Research suggests that most patients and providers are satisfied with the flexibility and convenience of teleconsultations. However, there is continuing uncertainty about whether this shift has a clinically relevant impact on the quality of doctor-patient interaction. We conducted a systematic search of studies comparing communication in medical face-to-face consultations and teleconsultations. We included only studies which examined communication directly using recordings, excluding studies which used questionnaires or interviews. Studies were appraised using modified versions of the Critical Appraisal Skills Programme (CASP) checklists. Our search yielded 25,348 records, of which 22 were included in the final review. These studies were conducted in various medical specialties. Methodologies included approaches based on quantified communication behaviors using coding systems and qualitative studies using microanalytic methods. Except for duration (where there was evidence of face-to-face consultations being longer), no differences between the two modes of communication were consistently identified. In the aggregate, however, statistically significant differences were more prominent in primary care and more likely to favor face-to-face consultations. Qualitative studies also highlighted differences in how communication behaviors were manifested in each modality. Because much of the examined research was conducted in selected or non-routine settings, its applicability to the less selective use of telemedicine during and after the pandemic is limited

Robotic Ultrasound Imaging: State-of-the-Art and Future Perspectives

Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis due to the merits of providing non-invasive, radiation-free, and real-time images. However, free-hand US examinations are highly operator-dependent. Robotic US System (RUSS) aims at overcoming this shortcoming by offering reproducibility, while also aiming at improving dexterity, and intelligent anatomy and disease-aware imaging. In addition to enhancing diagnostic outcomes, RUSS also holds the potential to provide medical interventions for populations suffering from the shortage of experienced sonographers. In this paper, we categorize RUSS as teleoperated or autonomous. Regarding teleoperated RUSS, we summarize their technical developments, and clinical evaluations, respectively. This survey then focuses on the review of recent work on autonomous robotic US imaging. We demonstrate that machine learning and artificial intelligence present the key techniques, which enable intelligent patient and process-specific, motion and deformation-aware robotic image acquisition. We also show that the research on artificial intelligence for autonomous RUSS has directed the research community toward understanding and modeling expert sonographers' semantic reasoning and action. Here, we call this process, the recovery of the "language of sonography". This side result of research on autonomous robotic US acquisitions could be considered as valuable and essential as the progress made in the robotic US examination itself. This article will provide both engineers and clinicians with a comprehensive understanding of RUSS by surveying underlying techniques.Comment: Accepted by Medical Image Analysi