The reduction of autopsies presents a challenge for medicine, impacting diagnostic accuracy and hospital decision-making. Uncertainty persists regarding the factors behind this decline and the tools best suited to analyze medical opinions. This study conducts a scoping review of contrast set mining (CSM) and contrast pattern mining (CPM) based on Arksey and O’Malley’s framework and PRISMA guidelines, aiming to assess their use in studies that compare medical views on declining autopsy rates. Of the 1,292 identified articles, 39 were reviewed. The review reveals usage patterns of CSM and CPM across domains while identifying a gap in the literature concerning their application in opinion comparison. These findings underscore the need for innovative approaches to examine perceptions of autopsy reduction and open a new research avenue focused on applying CSM to the analysis of medical surveys. This result provides a deeper understanding of the factors influencing autopsy assessment and improves hospital care processes.