Supermodel, spokeswoman, athlete, and mom Kim Alexis shares her story and the convictions she's developed.

One way to significantly improve the delivery of health care is to teach the health professionals who provide care to work together, to communicate with each other across professional boundaries, and to start to think and act like a team that has the patient at its center. The team-based care movement is at the heart of major changes in medical education and will become an element in the new accreditation standards.Through its Centre for Interprofessional Education, the pioneering approach in this area taken by the University of Toronto has attracted international attention. The role of the Centre for IPE, a formal partnership between the University of Toronto and the Toronto Academic Health Sciences Network, is to create a hub for the university and the many teaching hospitals where all core parties can be actively engaged in redesigning this new model of health care. In Creating the Health Care Team of the Future, Sioban Nelson, Maria Tassone, and Brian D. Hodges give a brief background of the Toronto Model and provide a step-by-step guide to developing an IPE program.

A practical framework for thinking about the future... and an exploration of 'future consciousness' and how to develop it

This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

This open access Springer Brief provides a systematic analysis of current trends and requirements in the areas of knowledge and competence in the context of the project “(A) Higher Education Digital (AHEAD)—International Horizon Scanning / Trend Analysis on Digital Higher Education.” It examines the latest developments in learning theory, didactics, and digital-education technology in connection with an increasingly digitized higher education landscape. In turn, this analysis forms the basis for envisioning higher education in 2030. Here, four learning pathways are developed to provide a glimpse of higher education in 2030: Tamagotchi, a closed ecosystem that is built around individual students who enter the university soon after secondary education; Jenga, in which universities offer a solid foundation of knowledge to build on in later phases; Lego, where the course of study is not a monolithic unit, but consists of individually combined modules of different sizes; and Transformer, where students have already acquired their own professional identities and life experiences, which they integrate into their studies. In addition, innovative practice cases are presented to illustrate each learning path.

In the spring of 2010, Harvard Business School’s graduating class asked HBS professor Clay Christensen to address them—but not on how to apply his principles and thinking to their post-HBS careers. The students wanted to know how to apply his wisdom to their personal lives. He shared with them a set of guidelines that have helped him find meaning in his own life, which led to this now-classic article. Although Christensen’s thinking is rooted in his deep religious faith, these are strategies anyone can use. Since 1922, Harvard Business Review has been a leading source of breakthrough ideas in management practice. The Harvard Business Review Classics series now offers you the opportunity to make these seminal pieces a part of your permanent management library. Each highly readable volume contains a groundbreaking idea that continues to shape best practices and inspire countless managers around the world.