Establishment and analysis of a diagnosis and treatment database of dental and maxillofacial deformities
Journal Title: 口腔疾病防治 - Year 2019, Vol 27, Issue 10
Abstract
Objective To establish the first dento-maxillofacial deformity diagnosis and treatment database in China, provide reference for the clinical diagnosis and treatment of dento-maxillofacial deformity in China, and lay the data foundation for prospective and retrospective clinical research. Methods The database was designed by surgeons combined with clinical practice, and then the programmer is responsible for the programming of the database. Personal files were established for patients at the time of the initial diagnosis. In future diagnosis and treatment processes, patients’ medical information will be recorded, patients’ case data will be collected, the database system will be improved according to clinical feedback, and the adjustment and improvement phases will be continued. Results A database and statistical analysis system was successfully established for dental and maxillofacial deformities, the clinical diagnosis and treatment information of patients were recorded, and the effective management of clinical data of patients with dental and maxillofacial deformities was achieved. The database functions include data entry management, data query, statistical analysis, image management, information exporting, system management, database management and updating. Conclusion Patients with dental and maxillofacial deformities have a longer folow-up period and greater regularity of diagnosis and treatment, information of which suitable for the collection and management using this database. The application of this database will improve the management of diagnosis and treatment information for patients with dental and maxillofacial deformities, and the database has a statistical analysis function. It has provided assistance for clinical research, which is conducive to the cultivation of specialist talents and the treatment of dental and maxillofacial deformities.
Authors and Affiliations
WANG Yiping, JIANG Nan, ZHAO Wenli, ZHU Songsong
Keywords
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- EP ID EP672988
- DOI 10.12016/j.issn.2096-1456.2019.10.007
- Views 153
- Downloads 0
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