Description:
This chapter focuses specifically on the use of three-dimensional multi-user virtual environments (3D MUVEs) for simulation-based teaching and learning in tertiary-level healthcare education. It draws on a broad range of extant research conducted over the past three decades, synthesizing this with newer developments and examples that have emerged since the advent and proliferation of the “3D Web.” The chapter adopts and advocates a research-informed approach to surveying and examining current initiatives and future directions, backed by relevant literature in the areas of online learning, constructivist learning theory, and simulations. Both opportunities and challenges are discussed, with the aim of making a contribution to the development of best practice in the field.
Description:
The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including continuous remote patient monitoring (RPM). However, the complexity of RPM architectures, the size of data sets generated and limited power capacity of devices make RPM challenging. In this paper, we propose a tier-based End to End architecture for continuous patient monitoring that has a patient centric agent (PCA) as its center piece. The PCA manages a blockchain component to preserve privacy when data streaming from body area sensors needs to be stored securely. The PCA based architecture includes a lightweight communication protocol to enforce security of data through different segments of a continuous, real time patient monitoring architecture. The architecture includes the insertion of data into a personal blockchain to facilitate data sharing amongst healthcare professionals and integration into electronic health records while ensuring privacy is maintained. The blockchain is customized for RPM with modifications that include having the PCA select a Miner to reduce computational effort, enabling the PCA to manage multiple blockchains for the same patient, and the modification of each block with a prefix tree to minimize energy consumption and incorporate secure transaction payments. Simulation results demonstrate that security and privacy can be enhanced in RPM with the PCA based End to End architecture.
Description:
The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including continuous remote patient monitoring (RPM). However, the complexity of RPM architectures, the size of data sets generated and limited power capacity of devices make RPM challenging. In this paper, we propose a tier-based End to End architecture for continuous patient monitoring that has a patient centric agent (PCA) as its center piece. The PCA manages a blockchain component to preserve privacy when data streaming from body area sensors needs to be stored securely. The PCA based architecture includes a lightweight communication protocol to enforce security of data through different segments of a continuous, real time patient monitoring architecture. The architecture includes the insertion of data into a personal blockchain to facilitate data sharing amongst healthcare professionals and integration into electronic health records while ensuring privacy is maintained. The blockchain is customized for RPM with modifications that include having the PCA select a Miner to reduce computational effort, enabling the PCA to manage multiple blockchains for the same patient, and the modification of each block with a prefix tree to minimize energy consumption and incorporate secure transaction payments. Simulation results demonstrate that security and privacy can be enhanced in RPM with the PCA based End to End architecture.
Description:
This study aimed to explore the cybersecurity landscape to identify cybersecurity indexes that may be relevant to the health industry. While the healthcare sector poses security concerns regarding patients' records, cybersecurity in the healthcare sector has not been given much consideration. Cybersecurity indexes are a survey that measures security preparedness and capabilities of a country or organisation. An index is made up of a series of questions, often broken into categories. These categories target areas such as law, technical responses, organisational threats, capacity building and social context. Some indexes provide ranking capabilities against other countries, while others directly evaluate what it means to be cyber-ready. In this paper, cybersecurity indexes were reviewed regarding the level of assessment (country level/organisation level), and their consideration of the wider community, the health sector, and their appearance in academic literature. Results from this study found that there was no consistency between the indexes investigated, with each index having a diverse number of categories and indicators. Some indexes resulted in a score; others did not rank their results in league tables. Evidence to calculate the level of adherence was often obtained from secondary sources, with four of the country indexes using both primary and secondary sources. Eight (out of fourteen) indexes measured wider community indicators and only one index specifically measured eHealth services. Findings from the initial systematic review suggest that hardly any peer-reviewed journal articles exist on the topic of cybersecurity indexes. The paper concludes that most of the indexes studied are broad and do not consider the eHealth sector specifically. Each index relies on a different process to gauge cybersecurity, with little to no academic rigour. It is expected that this research will contribute to the current (limited) literature addressing cybersecurity indexes.
Description:
ACM International Conference Proceeding Series
Description:
Pre-professional healthcare courses, including nursing, are increasingly focused on interprofessional learning and experimentation with clinical education in ‘training wards’. This involves students from at least two disciplines who, under supervision, are responsible for patients' care. There is no consensus on how students' clinical learning experiences in this context are evaluated. We report the development and testing of the Interprofessional Clinical Placement Learning Environment Inventory (ICPLEI) in the Australian context. A question set was developed to measure student's perceptions of key variables in an interprofessional clinical learning environment: orientation, supervision, roles, learning and autonomy. An expert nursing panel rated items for a Content Validity Index of .93. Reliability was tested with 38 students. After a 2-week interprofessional ward placement nursing, medical and allied health students (n = 38) rated their learning environment highly, with median responses 4 or 5 of five (mean total 83%). The scale was reliable with a Cronbach alpha of .80 and moderate item-to-total correlations for 22/26 items. The Interprofessional Clinical Placement Learning Environment Inventory is a reliable, feasible, fast to complete tool, suitable for use with pre-registration healthcare students in this setting. Further testing of the tool's psychometric properties is recommended.