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The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.

The global higher education sector has changed dramatically as universities continue to face unprecedented challenges associated with the COVID-19 pandemic. Many are struggling to navigate this crisis while maintaining high-quality course delivery, ensuring strong student recruitment numbers, and providing clear communication to staff and students. Issues have emerged at an exponential rate, and coping with the pandemic has been particularly difficult for universities as they serve several functions, such as being educational institutions as well as major employers. Leadership and Management Strategies for Creating Agile Universities reflects on the challenges that higher education institutions have faced during the pandemic and the associated projected socio-economic impact yet to be felt. It also considers how different universities have addressed the challenges so as to learn what has and has not worked and speculates what future implications exist for the vision of a new higher education sector in a changing world. Covering topics such as developmental leadership, IT governance, and lifelong learning, it is ideal for policymakers, industry professionals, academicians, researchers, governors, decision makers, teachers, and students.

As the widespread use of digital entertainment has changed not only the ways in which we spend our leisure time but also how we learn and communicate, Serious Games have emerged as an effective tool for the purpose of learning, skill acquisition, and training. Psychology, Pedagogy, and Assessment in Serious Games addresses this issue by offering empirical evidence for the effectiveness of Serious Games in the key areas of psychology, pedagogy, and assessment. Emphasizing both the theory and practice in the learning and training of Serious Games, this book is useful to educationalists, researchers, sociologists, and psychologists interested in the potential of games to support learning and change behavior.