Digital technology is now an integral part of medicine. Tools for detecting, screening, diagnosis, and monitoring health-related parameters have improved patient care and enabled individuals to identify issues leading to better management of their own health. Wearable technologies have integrated sensors and can measure physical activity, heart rate and rhythm, and glucose and electrolytes. For individuals at risk, wearables or other devices may be useful for early detection of atrial fibrillation or sub-clinical states of cardiovascular disease, disease management of cardiovascular diseases such as hypertension and heart failure, and lifestyle modification. Health data are available from a multitude of sources, namely clinical, laboratory and imaging data, genetic profiles, wearables, implantable devices, patient-generated measurements, and social and environmental data. Artificial intelligence is needed to efficiently extract value from this constantly increasing volume and variety of data and to help in its interpretation. Indeed, it is not the acquisition of digital information, but rather the smart handling and analysis that is challenging. There are multiple stakeholder groups involved in the development and effective implementation of digital tools. While the needs of these groups may vary, they also have many commonalities, including the following: a desire for data privacy and security; the need for understandable, trustworthy, and transparent systems; standardized processes for regulatory and reimbursement assessments; and better ways of rapidly assessing value.

He was also the Principal Investigator of the research project "SelfMED -The next-generation of biomechanical self-powering systems for multifunctional implantable medical devices" (POCI-01-0145-FEDER-031132). He has authored >30 publications in international peer-reviewed journals, including in journals with the highest impact in the areas of mechanical engineering, energy, applied physics, applied mathematics, and materials science. His scientific education was multidisciplinary, as is his scientific research path.He attained a 5-year graduation in Electrical and Computers Engineering, and later postgraduation in Industrial Automation Engineering (MSc degree) and Mechanical Engineering (PhD Degree). His research activity has been to explore the frontiers of automation engineering. vii

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What are organizations? Where do they come from? How are they transformed and adapted to new situations? In the digital age and in the global network society, traditional theories of the organization can no longer answer these questions. Based on actor-network theory, this book explains organizations as flexible, open networks in which both human and non-human actors enter into socio-technical assemblies by constantly negotiating and re-negotiating programs of action. Organizations are not macro social structures or autonomous systems operating behind the backs of individuals. Instead, they are scalable actor-networks guided by network norms of connectivity, flow, communication, participation, authenticity, and flexibility.

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