Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate.

Institutions, including higher education institutions (HEIs), may use crises as an opportunity to develop, to transform and to improve their institutional resilience. Indeed, the Covid-19 pandemic proves that a vast majority of HEIs around the world effectively adapted to the circumstances of the pandemic and successfully embarked on remote learning. The analysis of HEIs proves as well that the nearly overnight switch to remote learning was but one aspect of the quiet transformation that HEIs worldwide were subdued to. In this context, this chapter identifies the administrative practices, including talent management, operations management, and above all, the organizational culture. The notion of changed expectations on the part of the faculty and the students is highlighted. The key point that this chapter makes is that the faculty and the art of education, rather than simply teaching, need to be placed first if HEIs are to retain their resilience.