Objective To dynamically supervise medical insurance diagnosis and treatment behaviors through informa-tion technology,prevent compliance risks,and improve the efficiency of hospital medical insurance fund management.Methods Taking Gansu Provincial Hospital of Traditional Chinese Medicine as the research object,a hierarchical medical insurance in-telligent audit system was constructed,and core functional modules were designed to achieve full-process supervision.Based on system operation data,the audit efficiency,standardization of diagnosis and treatment behaviors,and cost control effects were compared and analyzed.Results After the system was launched,the time required for a single audit decreased from 5 minutes to 0.6 minutes,with an 88％improvement in processing efficiency.The average hospitalization cost for provincial residents de-creased by 16.33％year-on-year,and overall expenditures decreased by 16.34％.Billing loopholes and unreasonable charging behaviors were corrected.Conclusion The medical insurance intelligent audit system can effectively enhance supervision effi-ciency,standardize diagnosis and treatment behaviors,and control unreasonable cost growth.Additionally,it is recommended to further improve the intelligent supervision system through multi-dimensional policy education,deep integration with clinical sys-tems,and algorithm optimization.

Objective To dynamically supervise medical insurance diagnosis and treatment behaviors through informa-tion technology,prevent compliance risks,and improve the efficiency of hospital medical insurance fund management.Methods Taking Gansu Provincial Hospital of Traditional Chinese Medicine as the research object,a hierarchical medical insurance in-telligent audit system was constructed,and core functional modules were designed to achieve full-process supervision.Based on system operation data,the audit efficiency,standardization of diagnosis and treatment behaviors,and cost control effects were compared and analyzed.Results After the system was launched,the time required for a single audit decreased from 5 minutes to 0.6 minutes,with an 88％improvement in processing efficiency.The average hospitalization cost for provincial residents de-creased by 16.33％year-on-year,and overall expenditures decreased by 16.34％.Billing loopholes and unreasonable charging behaviors were corrected.Conclusion The medical insurance intelligent audit system can effectively enhance supervision effi-ciency,standardize diagnosis and treatment behaviors,and control unreasonable cost growth.Additionally,it is recommended to further improve the intelligent supervision system through multi-dimensional policy education,deep integration with clinical sys-tems,and algorithm optimization.

Objective To investigate the value of 1H-MRS technology combined with linear combination model (LCmodel) software in diagnosis of Parkinson disease (PD) cognitive impairment.Methods Thirty-five PD patients (PD group) and 22 matched healthy subjects (control group) were collected.Patients in PD group were divided into PDN and PDMCI subgroups according to whether having cognitive impairment or not.The concentration of metabolites of posterior cingulate gyrus (PCG)was applied with 1H-MRS technology combined with LCmodel software.The differences of metabolites were compared between the two groups,and the correlations between metabolites level and cognitive status were analyzed.Results The absolute concentrations of metabolites in PDN subgroup were not significantly different from those in control group (all P＞0.05).The absolute concentrations of total creatine (tCr),N-acetyl aspartate (NAA),myo-inositol (mI) and glycerophosphocholine+ phosphocholine (tCho) in PDMCI subgroup were lower than those in control group (all P＜0.05).The absolute concentration of tCr in PDMCI subgroup was lower than that in PDN subgroup (P＜0.05).There was positive correlation among the absolute concentration of tCr (r=0.444,P=0.01),glutathione (GSH;r=0.393,P=0.024) and MMSE scores,as well as among the absolute concentration of tCr (r=0.367,P=0.035),GSH (r=0.376,P=0.031),tCho (r=0.375,P=0.031) and MoCA scores.Conclusion 1 H-MRS technology combined with LCmodel software can quantitatively analyze the changes of metabolites in PCG,therefore being helpful to evaluating PD cognitive impairment.