The success of healthcare decision-making lies in whether healthcare staff, patients, and healthcare organisation managers can comprehensively understand the choices and consider future implications to make the best decision possible. Multiple-criteria decision making (MCDM), including multiple rule-based decision making (MRDM), multiple-objective decision making (MODM), and multiple-attribute decision making (MADM), is used by clinical decision-makers to analyse healthcare issues from various perspectives.

In practical health care cases, semi-structured and unstructured decision-making issues involve multiple criteria (or goals) that may conflict with each other. Thus, the use of MCDM is a promising source of practical solutions for such problems. MCDM methods mainly include the three parts: data process, evaluation and selection, and planning and design. Data process focuses on analysing and identifying healthcare management issues and data features for solving practical cases. Evaluation and selection focus on evaluating the performance of each solution for healthcare management, and these methods can be used to support decision-making and help organisations choose the best solution for practical healthcare management cases. Finally, planning and design focus on analysing and designing the goals of healthcare management applications, which can be modelled as a minimising or maximising problem for finding the optimal solutions. Furthermore, these methods can explore the relationship structure construction among criteria between various related issues arising from healthcare.

The aim of this Special Issue is to attract research investigating the contributions of practical multiple criteria decision analysis applications and cases for healthcare management. We welcome both original research and review articles, including papers studying data process, evaluation and selection, and planning and design of MCDM methods.

Potential topics include but are not limited to the following:

• MCDM for healthcare management applications, including MRDM, MADM, and MODM
• Data process, evaluation and selection, and planning and design methods for healthcare management applications
• Data investigation, collection, and survey methods for healthcare management applications
• Data processing and analysis methods for healthcare management applications
• Future prospects and forecasting methods for healthcare management applications