93 PTIMIZATION OF EARLY DIAGNOSIS AND TREATMENT PATH OF SCHIZOPHRENIA IN COLLEGE STUDENTS FROM THE PERSPECTIVE OF KNOWLEDGE MANAGEMENT

Abstract Background Schizophrenia is a serious mental disorder, and its early diagnosis and treatment are crucial to improving patient outcomes. Due to their special psychological development stage and learning pressure, college students have become the focus of the early identification and intervention of schizophrenia. Early symptoms of schizophrenia may include cognitive decline, social withdrawal, and impaired daily functioning, which may be overlooked or misunderstood among college students. From the perspective of knowledge management, we explore the early diagnosis and treatment path optimization of schizophrenia in college students to improve the diagnostic accuracy and effectiveness of treatment, reduce diagnosis delay, and improve the long-term prognosis of patients. Methods The study combines case study and data analysis. First, the knowledge framework for the early diagnosis of schizophrenia in college students was constructed through a systematic literature review. Second, three university mental health centers were selected as research subjects to collect data on schizophrenia cases in the past five years, including patient diagnostic records, treatment procedures, and efficacy assessment. Descriptive statistics and correlation analysis of the data using statistical software to identify key factors affecting early diagnosis and treatment. Results An analysis of 150 cases with schizophrenia has yielded some key findings. Descriptive statistics showed that the mean diagnosis delay in these patients was 6.5 months. Further correlation analysis revealed lack of psychiatric knowledge and social support as the main factors of diagnostic delay, with a correlation coefficient of 0.75 (P<0.01) and social support of 0.68 (P<0.01). In terms of treatment effectiveness, comparing the symptom severity scale scores before and after treatment, the study found that personalized treatment regimen and multidisciplinary teamwork had a significant impact on improving treatment effectiveness, with correlation coefficients of 0.82 (P<0.01) and 0.79 (P<0.01), respectively. Moreover, after the implementation of knowledge management strategies, including early screening, multidisciplinary teamwork, personalized treatment regimen, and continuous follow-up evaluation, the mean recurrence rate decreased significantly from 35% to 15% (χ²=12.34, P<0.01), and treatment satisfaction also increased from 65% to 85% (χ²=9.56, P<0.01). These results suggest that treatment outcomes and quality of life in patients with schizophrenia can be effectively improved by optimizing knowledge management strategies. Discussion Based on the perspective of knowledge management, the research deeply discusses the optimization of the early diagnosis and treatment path of schizophrenia in college students. The study found that early recognition of schizophrenia was significantly improved by improving mental health recognition and social support, with the average diagnosis delay shortened from 6.5 months. Moreover, personalized treatment options and multidisciplinary teamwork significantly improved the treatment efficacy, with correlation coefficients of 0.82 and 0.79, respectively, indicating that these factors have a significant positive impact on efficacy. After the implementation of the knowledge management strategy, the patient recurrence rate decreased from 35% to 15% and the treatment satisfaction increased from 65% to 85%, and these data strongly support the effectiveness of the optimization strategy. Future studies should further validate the universality and applicability of these strategies in different cultural and educational settings, with a view to promoting early diagnosis and treatment of schizophrenia globally, thereby improving long-term outcomes and quality of life of patients.