Optimizing Device Selection in the Healthcare Sector: A Comparative Study of AHP and ELECTRE Methods for Informed Decision-Making

Multi-criteria decision-making, MCDM consists of many methods to assist the decision-maker in selecting the best alternatives. MCDM has seen its application in a huge variety of problem domains and the healthcare sector is no exception. Medical domain is more challenging as it involves uncertainties, conflicting requirements, judgments from more than one decision maker and a mix of qualitative and quantitative data. The healthcare sector hugely depends upon various imaging techniques for the diagnosis of disease. In the past few decades, ultrasound techniques emerged as the most popular and effective aid in disease diagnosis. Thus for good and cost-effective diagnostics, medical experts should be equipped with good ultrasound machines. Selecting a good ultrasound machine needs evaluation of many features, thus MCDM methods can be deployed. The present paper proposes a comparative the study of most popular MCDM method, AHP and not so not-so-popular Electre method in the medical device selection in healthcare sector. The present study is considering Six Criteria and five alternatives, that can be scaled up to include more criteria and alternatives.