Abstract: Objective: To develop a full-process information management system for breast cancer patients based on clinical decision support, assist medical staff in making follow-up decisions and excavate the value of data, and explore the effectiveness of follow-up management for breast cancer patients. Methods: A system combined with knowledge base, reasoning engine and user communication mechanism was designed by multidisciplinary experts and put into clinical use. A total of 88 breast cancer patients admitted to the breast surgery department from December 2018 to December 2019 were selected and randomly divided into experimental group and control group. The bone marrow suppression, readmission rate, self-efficacy and satisfaction evaluation of patients in two groups were compared before intervention, 3 months and 6 months after intervention. Results: There was no difference in leukocyte, hemoglobin and platelet between the two groups before intervention (P>0.05). White blood cells, hemoglobin and platelets in the experimental group were higher than those of the control group at 3 and 6 months after intervention (P<0.05). The readmission rate at 3 and 6 months after intervention in the experimental group was lower than the control group (P<0.05). There was no difference in self-efficacy between the two groups before intervention (P>0.05). The self-efficacy of the control group was lower than that of the experimental group at 3 and 6 months after intervention (P<0.05). The patients were highly satisfied with the system. Conclusion: The development of clinical decision support system based on the follow-up characteristics of breast cancer patients meets the needs of medical staff for follow-up of patients, increases the frequency of use of the system, guarantees patient safety, and improves the efficiency of nursing service. In the long run, it reduces patient cost and reduces hospital operating cost.

Key words: clinical decision support; breast cancer; follow-up management