Objective:To construct a risk prediction and assessment system for incisional infection after spinal surgery.Methods:Based on the failure mode and effect analysis (FMEA), risk factors and assessment indicators of postoperative incisional infection in spinal surgery were sorted out through literature search followed by expert consultation using the Delphi expert consultation method. After three-level assessment indicators were selected according to their importance and expert opinions and assigned by different scores, a risk prediction and evaluation system was constructed for postoperative incisional infection after spinal surgery.Results:The 2 rounds of expert consultation questionnaire resulted in an effective response rate of 100%. The degree of expert consultation authority was 0.85, showing high reliability; the Kendall coordination coefficients of expert consultation ranged from 0.525 to 0.686, showing good coordination ( P<0.05). The three-level assessment indicators consisted of 3 primary, 18 secondary and 54 tertiary ones. After statistical analyses of the important risk indicators selected which consisted of 6 preoperative evaluation ones and 18 postoperative evaluation ones, 6 preoperative and 12 postoperative predictive indicators were obtained. The values of risk priority number (RPN) were calculated for high, medium and low risks for postoperative incisional infection using a semi-quantitative method. Conclusion:A self-designed system has been constructed for risk prediction and assessment of incisional infection after spinal surgery based on expert consultation and FMEA method.