Health assessment decisions are complicated because they must consider a range of conflicting factors, diverse types of measurements, and both qualitative and quantitative information. Additionally, the absence of precise data adds to the complexity of the decision-making process. Considering the various suggested approaches in this field, they still have some gaps. Consequently, less of them offer only partial reliability and certainty. In this paper, the author introduces a multi-criteria decision-making (MCDM) model utilizing the Z-valued numbers approach for health assessment. In simulation part the research demonstrates how the proposed model can be applied practically for health assessment.