Text in English / Telehealth makes healthcare services accessible by underserved and resource-constrained rural communities of developing countries such as Ethiopia. However, the limitation of frameworks on telemedicine-based healthcare inequality reduction is a challenge for developing countries. In Ethiopia there are four telemedicine projects; however, there is no evidence that any of these projects have been evaluated by considering contextual issues. This academic research explored telehealth practices in Ethiopia with the aim of developing a comprehensive telehealth evaluation framework for developing countries. Such a conceptual framework could be used to inform health institutes and governmental policy makers and in so doing create a vehicle for the implementation of improved health practices in Ethiopia. A grounded theory approach is used to qualitatively explore the usefulness of telemedicine practices in Ethiopia, in mitigating healthcare inequality. Grounded theory makes use of emerging insights in order to contribute to new knowledge. From the inductive analysis of the study, themes such as barrier removal, service quality, synergetic effect, localization, technical setup, resource utilization and managerial readiness emerged to formulate a framework for evaluating telemedicine-based healthcare inequality reduction in the context of developing countries like Ethiopia. This study contributes to the understanding of the question of how telemedicine practices can be evaluated, to support the healthcare service and reduce the healthcare inequalities in resource constrained communities in Ethiopia. Moreover, the framework could be used during evaluation of telemedicine-based healthcare inequality reduction in the context of developing countries like Ethiopia. / School of Computing / Ph.D. (Information Systems)

Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional efficiency of this complex system is evaluated as health. Traditional healthcare is unable to accommodate everyone's need due to the ever-increasing population and medical costs. With advancements in technology and medical research, traditional healthcare applications are shaping into smart healthcare solutions. Smart healthcare helps in continuously monitoring our body parameters, which helps in keeping people health-aware. It provides the ability for remote assistance, which helps in utilizing the available resources to maximum potential. The backbone of smart healthcare solutions is Internet of Things (IoT) which increases the computing capacity of the real-world components by using cloud-based solutions. The basic elements of these IoT based smart healthcare solutions are called "things." Things are simple sensors or actuators, which have the capacity to wirelessly connect with each other and to the internet. The research for this dissertation aims in developing architectures for these things, focusing on IoT-based smart healthcare solutions. The core for this dissertation is to contribute to the research in smart healthcare by identifying applications which can be monitored remotely. For this, application-specific thing architectures were proposed based on monitoring a specific body parameter; monitoring physical health for family and friends; and optimizing the power budget of IoT body sensor network using human body communications. The experimental results show promising scope towards improving the quality of life, through needle-less and cost-effective smart healthcare solutions.

The adoption of eHealth is very slow despite evidences showing its benefits. This research examines the individual, clinical, technical and organizational challenges for eHealth adoption from healthcare provider‟s perspectives. A cross-sectional study design with a quantitative paradigm was used. The study was conducted on 312 doctors and nurses randomly selected from ten hospitals in Addis Ababa, Ethiopia. Most respondents viewed eHealth positively with no significant differences in terms of profession or gender. Computer skill, workload, patient interaction, management support, cost and infrastructure were the main concerns. Privacy and security were not the main concerns. Knowledge of eHealth applications and utilization was low, even for evidence-based medicine and online databases. Specialists and males were better aware of eHealth applications. The study showed that eHealth acceptance was good. Increasing eHealth literacy was recommended as a cost effective means for improving access to updated information to improve the quality of healthcare. / Health Studies / M.A. (Public Health (Medical Informatics))