Objective To develop a clinical nursing decision support system for pressure injury and explore its application in managing pressure injury in postoperative cardiac surgery patients. Methods A multidisciplinary research team was formed to develop a clinical nursing decision support system. Key indicators, including wound assessment accuracy, wound treatment accuracy, pressure injury healing rate, pressure injury incidence, and defect rates in nursing records, were compared before and after the clinical nursing decision support system utilization. Count data were described using frequency and composition ratio (%), and comparisons were made using the chi-square test or Fisher's exact probability method. Measurement data following a normal distribution were described by mean and standard deviation, while non-normally distributed data were described by median and interquartile range. Independent sample t-tests and rank-sum tests were used for between-group comparisons. A significance level of α = 0.05 was set, with results considered statistically significant if P 0.05). The pressure injury healing rate increased from 89.1% to 97.2%, wound assessment accuracy improved from 90.8% to 97.2%, and wound treatment accuracy increased from 88.3% to 96.5%. The defect rate in nursing records decreased from 15.3% to 7.7%, with all differences being statistically significant (P < 0.05). Conclusion This study successfully developed and implemented a clinical nursing decision support system for pressure injury management in postoperative cardiac surgery patients. These results confirm the system's clinical utility in standardizing pressure injury care, optimizing nursing workflows, and elevating documentation quality. The clinical nursing decision support system provides an effective tool for enabling evidence-based, personalized interventions and strengthening closed-loop quality control in pressure injury management.
Zhang et al. (Thu,) studied this question.