In the literature a large number of researchers in decision sciences and operations research have studies methods, procedures, and algorithms designed to solve problems in health and medicine with multiple and conflicting criteria. Multiple criteria decision making (MCDM) or multiple criteria decision analysis (MCDA) is a sub-discipline of operations research with foundations in economics, management, mathematics, and psychology, and it is concerned with complex and multidimensional decisionmaking situations involving multiple and conflicting criteria, objectives, or attributes that have to combined or aggregated in order to choose or rank between alternatives There are several examples of MCDM problems in health and medicine dealing simultaneously with criteria such as cost, economic efficiency, satisfaction, optimal performance, capacity management, disease management, location selection, patient scheduling, resource scheduling, and many others. Considering multiple and conflicting criteria leads to more challenging but also more informed decision making models. This special issue includes contributions related to MCDM methods, techniques, models and their application to health and medicine in the following domains: MCDM multiple criteria decision aid, multiple objective optimization, goal programming, fuzzy and stochastic multiple objective optimization, fuzzy and stochastic goal programming, scheduling problems, facility management, disease and pandemics management, capacity planning, logistics and supply chain.