Precision medicine is a medical paradigm founded on individual genetic information amalgamated with extensive clinical data to offer patients precise diagnoses and treatments. Genetic testing forms the cornerstone of accurate diagnosis, and skilled professionals in fields like clinical medicine, molecular biology, and bioinformatics play a crucial role in realizing the potential of precision medicine. This paper presents reference suggestions for the continuing education approach for relevant technical personnel. The main emphasis is on conducting routine face-to-face and hands-on training to enhance theoretical knowledge and professional skills. Secondly, there is a need to modify the training approach by reinforcing molecular biology, bioinformatics, and other courses, enhancing assessment methods, gradually implementing specialized training in precision medicine subspecialties, and ensuring effective clinical practice and management of precision medicine.
ObjectiveTo evaluate the effects of multi-disciplinary diagnosis and treatment model based on doctor-patient shared decision making on treatment outcomes, quality of life and postoperative complications of breast cancer patients. MethodsA total of 100 breast cancer patients were included in this study through a prospective randomized controlled design, and were randomly divided into control group and intervention group, with 50 patients in each group. The control group received traditional treatment mode, while the intervention group implemented a multidisciplinary treatment mode based on doctor-patient sharing decision making. The results of treatment, quality of life and postoperative complication rate were compared between the two groups. ResultsThe completion rate of adjuvant radiotherapy and chemotherapy in the intervention group was 94.0%, which was higher than that in the control group (80.0%), and the difference was statistically significant (P=0.037). The satisfaction rate of postoperative breast appearance in the intervention group was 90.0%, which was higher than that in the control group (60.0%), with statistical significance (P<0.001). There was no significant difference in grade Ⅲ/Ⅳ toxicity between the two groups (P>0.05). After treatment, the scores of patients’ quality of life in the intervention group were higher than those in the control group, and the difference was statistically significant (P<0.05). The incidence of postoperative complications in the intervention group was 6.0%, which was lower than that in the control group (22.0%), and the difference was statistically (P=0.021). ConclusionsThe application of multidisciplinary diagnosis and treatment model based on doctor-patient sharing decision-making in the treatment of breast cancer patients has significantly improved the treatment effect and quality of life, and effectively reduced the rate of postoperative complications. This model provides a new approach to the treatment of breast cancer that is more personalized, comprehensive and efficient.