Abstract:Objective To study the construction of digital image processing(DIP) and diagnosis related grouping(DRG) combined system based on relational database, and apply it to pediatric discipline construction in public general hospitals, and explore the development direction of discipline construction.Methods By applying the evaluation system of DRG and DIP provided by the government platform and associated with the hospital medical record homepage database, the corresponding evaluation indexes of DRG and DIP for pediatric inpatients from 2018 to 2020 were calculated, and the win-win measures for medical insurance expense control and discipline development were discussed.Results From 2018 to 2020, the ability, efficiency and safety of hospital treatment of difficult and severe patients had not changed much. The case mix index(CMI) was maintained at 0.45-0.47 (general pediatrics) and 1.43-1.54 (neonatology), respectively, and the time and cost efficiency index was 0.74-0.87. There were no deaths in the medium-low risk group, except that the proportion of difficult patients in neonatology decreased from 24.68% to 17.71% in 2020. The medical insurance cost was controlled well and by 2020, there was no loss in the general and neonatology departments. Some of the high-CMI- diseases admitted had development potential, such as "viral brain, spinal cord and meningitis without comorbidities" in the general department of pediatrics and "neonatal respiratory distress syndrome" and "premature infant with serious problems" in the department of neonatology.Conclusion The combination of DRG and DIP is the approach of understanding the development trend of the discipline construction and well-controlling medical insurance cost, as well as grasping the future development orientation of the discipline, without depending on other software companies.
刘苑婷,方家尉,何丽萍,黄国标,梁智敏. 基于关系数据库构建DIP结合DRG体系在医院儿科学科建设中的应用[J]. 中国医院统计, 2023, 30(1): 19-25.
Liu Yuanting, Fang Jiawei, He Liping, Huang Guobiao, Liang Zhimin. Application of DRG and DIP based on relational database in hospital pediatric discipline construction. journal1, 2023, 30(1): 19-25.