Applied ethics and eHealth: principles, identity, and RFID.

The social and ethical implications of contemporary technologies are becoming an issue of steadily growing importance. This paper offers an overview in terms of identity and the field of ethics, and explores how these apply to eHealth in both theory and practice. The paper selects a specific circumstance in which these ethical issues can be explored. It focuses particularly on radio-frequency identifiers (RFID). It ends by discussing ethical issues more generally, and the practice of ethical consideration

eHealth and ethics: theory, teaching, and practice.

The use of information and communication technologies (ICT) is increasing rapidly in many spheres of contemporary life in Europe. The ethical use of ICT in all areas of its application is of growing importance. This is especially evident in the field of healthcare. The regional, national, and Europe-wide electronic aspects of health services and systems are related fundamentally to these two developments. This chapter explores the relevance of ethics to eHealth generally. It outlines two main contrasting ideas that have influenced ethical thought: Kantian ethics and consequentialism. It investigates the ways in which teaching and practice for ICT professionals and trainees can be enhanced and extended to increase the awareness of ethical issues in eHealth. It takes as examples two technological applications that are in increasing use in the eHealth field: electronic health records and radio frequency identification devices. The chapter ends with a brief discussion and conclusions about how this ethical awareness can be expanded beyond ICT professionals to other stakeholder groups, and to other eHealth technologies or applications

Considering something ELSE: ethical, legal and socio-economic factors in medical imaging and medical informatics

The focus on the use of existing and new technologies to facilitate advances in medical imaging and medical informatics (MIMI) is often directed to the technical capabilities and possibilities that these technologies bring. The technologies, though, in acting as a mediating agent alter the dynamics and context of information delivery in subtle ways. While these changes bring benefits in more efficient information transfer and offer the potential of better healthcare, they also disrupt traditional processes and practices which have been formulated for a different setting. The governance processes that underpin core ethical principles, such as patient confidentiality and informed consent, may no longer be appropriate in a new technological context. Therefore, in addition to discussing new methodologies, techniques and applications, there is need for a discussion of ethical, legal and socio-economic (ELSE) issues surrounding the use and application of technologies in MIMI. Consideration of these issues is especially important for the area of medical informatics which after all exists to support patients, healthcare practitioners and inform science. This paper brings to light some important ethical, legal and socio-economic issues related to MIMI with the aim of furthering an interdisciplinary approach to the increasing use of Information and Communication Technologies (ICT) in healthcare

The role of the free-response receiver operating characteristic method for dose and image quality optimisation

This thesis describes the value of the free-response receiver operating characteristic (FROC) paradigm for dose and image quality optimisation in a niche area of imaging. The empirical works discussed in this thesis focus on the diagnostic value of the low-resolution computed tomography (CT) images acquired for attenuation correction (AC) – a process primarily used to correct for photon attenuation with images produced merely as a consequence of the exposure. The potential discovery of incidental findings on these images was investigated.The observers taking part in the empirical studies were generally lacking in significant experience of interpreting CT images. As a consequence it was also deemed valuable to investigate the value of the novice observer in free-response studies. A further methodological consideration for studies of this kind is consistent and reliable image display and FROC data collection. Prototype software, ROCView, was designed and developed to make this an easy process and the key functionality and impact is analysed here.In addition to the empirical works, two review papers, aimed at the technologists and radiographers performing low-resolution CT for AC, are summarised. They explain the value of the FROC paradigm and the jackkinfe alternative FROC (JAFROC) analysis method to a wide audience in nuclear medicine

Factors affecting adoption of eHealth in Egypt

This research investigates the factors that affect technology acceptance in the eHealth domain with regard to Egypt. It also focuses on the impact of the perceptions and attitudes of online privacy, due to the sensitivity of healthcare information, and trust, in addition to the other technology acceptance factors affecting acceptance of eHealth in Egypt. The aims of the research were to (i) understand the impact of general attitudes to online privacy and associated concerns on the acceptance and uptake of eHealth services, and (ii) to develop an enhanced technology acceptance model that takes into consideration factors pertaining to technology acceptance adopted from the UTAUT Model as well as online privacy, online trust and Internet experience factors. Results from a questionnaire survey of a randomly selected sample of computer literate members of the general public revealed interesting correlations between users’ acceptance of eHealth services and attitudes to online privacy, indicating that users’ general attitudes to online privacy negatively affect eHealth acceptance. Factors pertaining to the UTAUT model such (performance expectancy, effort expectancy, and facilitating conditions) have a positive impact on potential acceptance. Furthermore, factors of online trust and Internet experience and exposure also show a positive impact on eHealth technology acceptance. Questions used to measure eHealth technology acceptance were adapted to the eHealth domain as well as to the Egyptian culture in order to reflect potential users’ understanding of eHealth concepts. The Unified Theory of Acceptance and Use of Technology (UTAUT) model (Venkatesh et al., 2003) was used as a foundation for testing factors of technology acceptance. Linked issues such as e-privacy threats such unauthorized use of personal information, privacy policies and regulations, and possible links with existing technology acceptance models in the eHealth context were also investigated. The research concluded that these additional factors of privacy and trust are relevant to technology acceptance in the eHealth context, and should be included in technology acceptance models. The results of this research, in terms of recommendations made for eHealth, will directly benefit the Egyptian government; commercial services and eHealth researchers among others

Identification des pratiques, défis et solutions rencontrés dans l’évaluation de protocoles de recherche en neuroimagerie

Les récents progrès en neuroimagerie ont permis, au cours des dernières années, de faire avancer les connaissances sur les maladies neurologiques et psychiatriques en offrant la possibilité de mieux comprendre l’évolution des maladies neurodégénératives et la nature du comportement, des émotions, de la personnalité, et de la cognition. Plusieurs défis éthiques ont émergés suite à l’utilisation de ces nouvelles technologies d’imagerie cérébrale. La perspective des chercheurs concernant les pratiques d’évaluation des protocoles de recherche en neuroimagerie ainsi que les défis éthiques, sociaux et légaux auxquels font face les chercheurs n'ont pas encore été étudiés, même s’ils constituent des acteurs clés. Nous avons entrepris une étude empirique sur les perspectives des chercheurs quant au processus d'évaluation par les comités d’éthique de la recherche (CÉR) afin d’examiner les enjeux éthiques, légaux et sociaux liés à la pratique de la neuroimagerie au Canada. Pour ce faire, nous avons expédié un questionnaire en ligne et réalisé des entrevues semi-structurées avec des chercheurs en neuroimagerie et des présidents des CÉR. Les entrevues ont été transcrites et analysées à l'aide du logiciel d'analyse qualitative Nvivo. Nos résultats ont mis en lumière plusieurs aspects éthiques légaux et sociaux suscitant une attention particulière afin de remédier aux défis actuels dans la recherche en neuroimagerie ainsi qu’au processus d’évaluation de la recherche par les CÉR. Nos données comportent également des recommandations provenant des chercheurs eux-mêmes afin d'améliorer le processus d'évaluation. Finalement, notre propre expérience avec cette étude multicentrique nous a permis de constater plusieurs des défis mentionnés par les chercheurs.Over the past years, advances in neuroimaging have allowed for a better understanding of neurologic and psychiatric disorders and yielded insights into behavior, emotion, personality, and cognition as well as allowed for a deeper understanding of neurodegenerative diseases. In light of the uses of these new imaging technologies, several ethical issues have emerged. The perspectives of researchers on current ethics review of neuroimaging protocols and ethical, legal and social issues present in neuroimaging have not been investigated, even though they are key stakeholders. We undertook an empirical study of researcher perspectives regarding the REB review process to examine ethical, legal and social issues associated with the practice of neuroimaging in Canada. We conveyed an online questionnaire survey and conducted semi-structured interviews with neuroimaging researchers and REB chairs. Interviews were transcribed and analyzed using the NVivo qualitative analysis software. Our results put into perspective emerging ethical, social and legal issues which are important challenges to address in the field of neuroimaging as well as practical challenges in the REB process. Our data also contain recommendations, coming from the neuroimagers themselves, in order to improve the evaluation process. Finally, our experience conducting this research has allowed us to confirm the challenges and stakeholders faced by neuroimagers

The impact of simulated motion blur on breast cancer detection performance in full field digital mammography (FFDM)

Objective: Full-field Digital Mammography (FFDM) is employed in breast screening for the early detection of breast cancer. High quality, artefact free, diagnostic images are crucial to the accuracy of this process. Unwanted motion during the image acquisition phase and subsequent image blurring is an unfortunate occurrence in some FFDM images. The research detailed in this thesis seeks to understand the impact of motion blur on cancer detection performance in FFDM images using novel software to perform simulation of motion, an observer study to measure the lesion detection performance and physical measures to assess the impact of simulated motion blur on image characteristics of the lesions. Method: Seven observers (15±5 years’ reporting experience) evaluated 248 cases (62 containing malignant masses, 62 containing malignant microcalcifications and 124 normal cases) for three conditions: no motion blur (0.0 mm) and two magnitudes of simulated motion blur (0.7 mm and 1.5 mm). Abnormal cases were biopsy proven. A free-response observer study was conducted to compare lesion detection performance for the three conditions. Equally weighted jackknife alternative free-response receiver operating characteristic (wJAFROC) was used as the figure of merit. A secondary analysis of data was deemed important to simulate ‘double reporting’. In this secondary analysis, six of the observers are combined with the seventh observer to evaluate the impact of combined free-response data for lesion detection and to assess if combined two observers data could reduce the impact of simulated motion blur on detection performance. To compliment this, the physical characteristics of the lesions were obtained under the three conditions in order to assess any change in characteristics of the lesions when blur is present in the image. The impact of simulated motion blur on physical characteristics of malignant masses was assessed using a conspicuity index; for microcalcifications, a new novel metric, known as dispersion index, was used. Results: wJAFROC analysis found a statistically significant difference in lesion detection performance for both masses (F (2,22) = 6.01, P=0.0084) and microcalcifications (F(2,49) = 23.14, P<0.0001). For both lesion types, the figure of merit reduced as the magnitude of simulated motion blur increased. Statistical differences were found between some of the pairs investigated for the detection of masses (0.0mm v 0.7mm, and 0.0mm v 1.5mm) and all pairs for microcalcifications (0.0 mm v 0.7 mm, 0.0 mm v 1.5 mm, and 0.7 mm v 1.5 mm). No difference was detected between 0.7 mm and 1.5 mm for masses. For combined two observers’ data of masses, there was no statistically significant difference between single and combined free-response data for masses (F(1,6) = 4.04, p=0.1001, -0.031 (-0.070, 0.008) [treatment difference (95% CI)]. For combined data of microcalcifications, there was a statistically significant difference between single and combined free-response data (F(1,6) = 12.28, p=0.0122, -0.056 (-0.095, -0.017) [treatment difference (95% CI)]. Regarding the physical measures of masses, conspicuity index increases as the magnitude of simulated motion blur increases. Statistically significant differences were demonstrated for 0.0–0.7 mm t(22)=-6.158 (p<0.000); 0.0–1.5 mm t(22)=-6.273 (p<0.000); and 0.7–1.5 mm (t(22)=-6.231 (p<0.000). Lesion edge angle decreases as the magnitude of simulated motion blur increases. Statistically significant differences were demonstrated for 0.0–0.7 mm t(22)=3.232 (p<0.004); for 0.0–1.5 mm t(22)=6.592 (p<0.000); and 0.7–1.5mm t(22)=2.234 (p<0.036). For the grey level change there was no statistically significant difference as simulated motion blur increases to 0.7 and then to 1.5mm. For image noise there was a statistically significant difference, where noise reduced as simulated motion blur increased: 0.0–0.7 mm t(22)=22.95 (p<0.000); 0.0–1.5mm t(22)=24.66 (p<0.000); 0.7–1.5 mm t(22)=18.11 (p<0.000). For microcalcifications, simulated motion blur had a negative impact on the ‘dispersion index’. Conclusion: Mathematical simulations of motion blur resulted in a statistically significant reduction in lesion detection performance. This reduction in performance could have implications for clinical practice. Simulated motion blur has a negative impact on the edge angle of breast masses and a negative impact on the image characteristics of microcalcifications. These changes in the image lesion characteristics appear to have a negative effect on the visual identification of breast cancer