Provide a decision-making model for medical university administrators in conditions of uncertaintyCase study of Mazandaran University of Medical Sciences

The purpose of this research is to provide a decision model for the directors of medical universities, which in terms of purpose, is practical and with a combination of qualitative and quantitative methods based on data theory (grounded theory).

In the qualitative part of the statistical population, including the managers of the Crisis Department and the faculty members of Mazandaran University of Medical Sciences, sampling by purposeful method and interviews were performed Semi-structured to theoretical saturation and analytical methods have been coding methods. In the quantitative section of the statistical population, including senior and middle managers of Mazandaran University of Medical Sciences, a simple random sampling method based on the sample size determined by Cochran's method, Data collection was made from a researcher-made questionnaire and analyzed for non parametric statistical experiments, Kolmogorov-Smirnov, SPSS software, SMARTPLS, Excel and structural equation modeling method with partial least squares approach.

The path coefficient of each of the four dimensions extracted from the qualitative stage was effective and significant in explaining the decision in conditions of uncertainty. It was 0.137, which was an appropriate and acceptable value.

The implementation of this model is a change in decisions related to the health system in conditions of uncertainty and will increase the ability of medical university administrators and the resilience of the health system.