Discrete Event Frameworks for Healthcare Sustainable Development expounds upon an important chapter of artificial intelligence; respectively, discrete event systems are applied for modeling and simulation of interpreting medical analyzes and proposing a diagnosis based on these interpretations and the patient's symptoms. Discrete event models for telemedicine are also considered for developing algorithms to ensure the sustainable development of modern global society. The target audience of this book will be from the "spatially" non-specific disciplines and fields: cognitive disciplines, informatics, robotics, medicine, biology, management, marketing, finances, etc. Readers with diverse backgrounds like research, academia, industry, medicine, social sciences, etc., can take advantage of this book and shape a new way of analyzing applied artificial intelligence. Additionally, developers of spatial semantic applications will gain important guidance.