Purpose/Significance To construct a specialized database for inflammatory demyelinating disease of the central nervous system (CNS), so as to contribute to clinical research and improve the diagnostic and treatment capabilities of primary healthcare institutions. Method/Process Using the internet to collect medical data, after processing and analysis, the CNS inflammatory demyelinating disease database is constructed. Using statistical analysis, natural language processing (NLP), artificial intelligence (AI) image recognition and data visualization and other technologies, the database information is integrated and analyzed. Result/Conclusion A standardized big database for CNS inflammatory demyelinating diseases is constructed, which enables visualization of clinical research data, provides patient education and specialist training, and facilitates multi-center teleconsultations. The establishment of a specialized database for the CNS inflammatory demyelinating disease can promote the transformation of medical research achievements, provide references for future real-world clinical research, optimize the process of diagnosis and treatment, and improve the clinical capability of primary healthcare institutions.