OBJECTIVE To optimize the risk matrix assessment model for management of hospital-associated infection based on analytic hierarchy process (AHP) and evaluate the application effect of the model after optimization.

METHODS By means of AHP, the model was optimized by constructing the quantitative evaluation indexes weight system for consequence severity induced by hospital-associated infection from Feb.2023 to Jul.2023. Taken The Affiliated Hospital of Guizhou Medical University as an example, the risk for occurrence of hospital-associated infection in 20 internal medicine departments was evaluated, the risk grades were determined, and the application effect of the risk assessment model was evaluated after the optimization.

RESULTS The weight system indexes for severity of consequences due to hospital-associated infection included surgical site infection (18.03%), treatment outcomes (49.50%), increased length of hospital stay (11.52%), increased hospitalization cost (6.43%) and variable coefficient of monthly morbidity(14.53%). Ward 2 of emergency internal medicine department, neurology department, Ward 1 of emergency internal medicine department and hematopoietic stem cell transplantation department were the extremely high risk departments acquired by the risk assessment model. The risk assessment was carried out for the extremely high risk departments, and the Ward 1 of emergency internal medicine department was determined as the department that the risk coping strategies were taken in priority after the risk value was adjusted.

CONCLUSION The risk matrix assessment model can be optimized by establishing the weight system of quantitative indexes for risk assessment based on AHP, the model achieves remarkable application effect, and the result of risk assessment is reliable and has significance for clinical guidance.