Practice of refined cost management of medical service charging items based on hospital intelligent agent / 中华医院管理杂志

In recent years, public hospitals have been facing pressure from the reform of medical insurance payment methods. It is urgent to strengthen the operation and management of public hospitals. In June 2022, a tertiary public hospital utilized hospital intelligent agents to carry out refined cost management practices for medical service charging projects, sorted out medical service charging projects, designed management paths, and calculated project costs. The hospital conducted refined management on the cost of medical service charging items from three control dimensions of project unit cost with manpower, equipment and consumables, and two comparative directions with horizontal and vertical. The refined cost management practice not only pointted out the direction for global refinement cost control within the hospital, but also reduced the proportion of hospital consumption, which provided reference for improving the level of refined operation and management of public hospital hospitals.

Differentially expressed gene screening of urinesamples from rats renal fibrosis model and bioinformatics analysis / 基础医学与临床

Objective To investigate the differentially expressed genes of urine samples from renal fibrosis model and carry out bioinformatics analysis.Methods Rat renal fibrosis model was constructed with the method of unilateral ureteric obstruction.Urine were collected from the rats with unilateral obstructive nephropathy and sham group, respectively.Total RNA was extracted and sequencing library was established.Differential expression mRNA were analyzed by GO and KEGG pathway.Known pre-miRNA were detected and novel lncRNA family were classified.Results Compared with the sham group urine, 813 up-regulated mRNA/lncRNA and 213 down-regulated mRNA/lncRNA were collected from the urine of renal fibrosis rats.Conclusions There are significant differential expression profile in urine samples between renal fibrosis rat group and the shame group.With high-throughput transcriptome sequencing and bioinformatics analysis, the exciting possibility was raised for better understanding renal pathologies and development of new diagnostic biomarkers.