Special Issue on Modeling, Simulation, and Computational Methods for Privacy and Healthcare Information

Research in the field of health care seeks to improve quality, safety, efficiency, and effectiveness of health care for individuals and social groups. This research is substantially supported for well-established disciplines that include Pathophysiology, Epidemiology, and Population Health among others. As such, a substantial part of health care research focuses on generating knowledge that seeks to improve life expectancy and the facing and managing of chronic and acute diseases. However, as infor-mational and operational technology evolves, the emergent research dimension of health care systems and delivery that involves the analysis and implementation of technical, operational, and management processes requires articulated endeavors that guide a fruitful research agenda. Thus, novel and existing paradigms applied in the health care domain can be supported by tools and approaches that are continuously reviewed and improved. The performance of health care systems and delivery are affected by a number of aspects ranging from simple technicality to the organizational and managerial issues present in a health care institution. Hence, it is imperative to identify and manage the effects of implementations in this field that are not trivial to managers and administrators, e.g., information management, decision-making, and training. Similar to other economic systems such as production or manufacturing systems, health care systems call for considering the arrangement and management of multi-dimensional delivery complexities that maximize the system's outcomes and strives for reaching the upmost progress and well-being. This special issue highlights the need for new approaches in health research whose complexity is multidimensional, many times intractable, and simply cannot be analyzed with deterministic or deductive methods. They require the use of effective and cutting-edge