AI-Enabled Multiple Criteria Decision-Making Approaches for Healthcare Management

Clinical decision-makers use multiple-criteria decision making (MCDM) methods, such as MRDM, MODM, and MADM, to analyze healthcare issues from various perspectives and find practical solutions to semi-structured and unstructured decision-making problems. The MCDM process includes data process, evaluation and selection, and planning and design, which can help organizations choose the best solution for practical healthcare management cases.

Format: Hardback
Length: 300 pages
Publication date: 30 October 2022
Publisher: IGI Global

The success of healthcare decision-making hinges on the ability of healthcare staff, patients, and healthcare organization managers to comprehensively understand the choices available and consider their future implications to make the best decision possible. Clinical decision-makers employ various multiple-criteria decision-making (MCDM) approaches, such as multiple rule-based decision making (MRDM), multiple-objective decision making (MODM), and multiple-attribute decision making (MADM), to analyze healthcare issues from diverse perspectives.

In real-world healthcare scenarios, semi-structured and unstructured decision-making problems often involve multiple criteria (or goals) that may clash. Consequently, the utilization of MCDM emerges as a promising solution for addressing such complex challenges. MCDM methods encompass three essential components: data processing, evaluation and selection, and planning and design.

Data processing involves the analysis and identification of healthcare management issues and data features necessary to solve practical cases. It involves rigorous exploration and analysis of available data to uncover valuable insights and patterns that can inform decision-making.

Evaluation and selection focus on assessing the performance of different solutions for healthcare management. These methods enable decision-makers to evaluate the potential benefits and drawbacks of each option and make informed choices based on objective criteria. By employing these evaluation and selection methods, organizations can optimize their healthcare management strategies and select the best solution that aligns with their specific needs and objectives.

Planning and design involve analyzing and designing the goals of healthcare management applications. These goals can be modeled as minimizing or maximizing problems, seeking optimal solutions. By employing planning and design methods, healthcare professionals can develop comprehensive plans and strategies that effectively address healthcare management challenges and achieve desired outcomes.

Furthermore, MCDM methods extend beyond mere analysis and decision-making. They facilitate the exploration of the relationship structure construction among criteria between various related issues arising from healthcare. This understanding helps healthcare professionals identify interdependencies and potential synerg.

In conclusion, the success of healthcare decision-making relies on the ability of healthcare staff, patients, and healthcare organization managers to comprehend the choices available and consider their future implications. MCDM approaches, including MRDM, MODM, and MADM, provide valuable tools and methodologies for analyzing healthcare issues from diverse perspectives. By employing data processing, evaluation and selection, and planning and design methods, healthcare professionals can make informed decisions that optimize healthcare management strategies and improve patient outcomes. Additionally, MCDM methods facilitate the exploration of relationship structure construction among criteria, enabling healthcare professionals to identify interdependencies and potential areas for improvement.

ISBN-13: 9781668444054