Objective To evaluate the medical resource consumption due to healthcare-associated infection (HAI) in patients with cerebrovascular diseases based on disease diagnosis-related group (DRG). Methods Clinical data of patients with cerebrovascular disease DRGs in a hospital from 2022 to 2023 were retrospectively analyzed. The differences in average length of hospital stay and average hospitalization expense between HAI group (infection group) and non-HAI group (non-infection group) were compared, the resource consumption of different infection sites and DRGs were analyzed. Results A total of 160 cases of HAI occurred among 10 546 patients with cerebrovascular diseases in this hospital, with an incidence of 1.52%. The median length of hospital stay of patients in infection group and non-infection group were 23 and 7 days, respectively, the median total hospitalization expense were 71 400 and 12 200 Yuan, respectively. The average length of hospital stay and average hospitalization expense in infection group were both higher than non-infection group, differences were both statistically significant (both P<0.001), bloodstream infection had the highest resource consumption. 160 HAI patients were distributed among 19 DRGs, and 10 386 non-HAI patients were distributed among 25 DRGs. The DGR with the highest number of HAI cases was BR21 (cerebral ischemic disease with important complications and comorbidities), accounting for 25.00% (40/160); The DGR with the highest HAI incidence was AH19 (tracheotomy with ventilator support≥96 hours or ECMO [extracorporeal membrane oxygenation]), accounting for 28.00% (14/50); The DRG with the largest difference in average length of hospital stay and average hospitalization expense was BK19 (neurological diagnosis with ventilator support). Conclusion HAI significantly increases the consumption of medical resources of patients with cerebrovascular diseases. It is suggested that DRGs with high infection risk be paid attention through refined DRG analysis as well as precise prevention and control measures, so as to reduce the incidence of HAI as much as possible.