Objective:To explore the construction of management system of dynamic adjustment for supply catalogue of medical consumables based on diagnosis related groups(DRG),so as to realize the fine supervision and management of rational and compliant use for medical consumables.Methods:The management system of dynamic adjustment for supply catalogue of medical consumables was constructed from 6 dimensions(system establishment,hierarchical management,detailed classification,announcement management,strengthening trial and standardizing contract)through analyzed the existing problems.A total of 149 broad headings of using medical consumables in clinical work of Children's Hospital,Zhejiang University School of Medicine from January 2022 to December 2023 were selected.The changes of the ratio of hygienic material's income in medical income,and the ratio of hygienic material's cost in medically overall cost were compared between before adopted the management system of dynamic adjustment for supply catalogue of medical consumables(2022)and after adopted that(2023).Results:After dynamic adjustment,32 broad headings(21.48%)of 149 broad headings of medical consumables were adjusted according to trial process,and 14 broad headings(9.40%)of medical consumables were optimized in the secondary catalogue,and 85 broad headings(57.05%)of medical consumables reduced their product brand,and the use of 8(5.37%)broad headings of medical consumables were stopped.On the premise that both the person-time of outpatient and emergency,and the person-time of discharge increased,the ratio of the income of hygienic material in medical income decreased from 8.02%of 2022 to 7.29%of 2023,and the ratio of hygienic material cost in overall medical cost decreased from 15.38%of 2022 to 14.17%of 2023,and the accumulated cost of medical consumables was reduced by 7.37 million CNY,accounting for 4.1%of the expenditure of medical consumables.Online procurement rates of medical consumables were respectively 93.05%and 94.34%in 2022 and 2023,which showed an increasing trend year by year.Conclusion:The application of management system of dynamic adjustment for supply catalogue of medical consumables can reduce the ratio of consumables of hospital,and improve the management efficiency of medical consumables,and reduce the procurement cost of medical consumables.

Objective:To explore the construction of management system of dynamic adjustment for supply catalogue of medical consumables based on diagnosis related groups(DRG),so as to realize the fine supervision and management of rational and compliant use for medical consumables.Methods:The management system of dynamic adjustment for supply catalogue of medical consumables was constructed from 6 dimensions(system establishment,hierarchical management,detailed classification,announcement management,strengthening trial and standardizing contract)through analyzed the existing problems.A total of 149 broad headings of using medical consumables in clinical work of Children's Hospital,Zhejiang University School of Medicine from January 2022 to December 2023 were selected.The changes of the ratio of hygienic material's income in medical income,and the ratio of hygienic material's cost in medically overall cost were compared between before adopted the management system of dynamic adjustment for supply catalogue of medical consumables(2022)and after adopted that(2023).Results:After dynamic adjustment,32 broad headings(21.48%)of 149 broad headings of medical consumables were adjusted according to trial process,and 14 broad headings(9.40%)of medical consumables were optimized in the secondary catalogue,and 85 broad headings(57.05%)of medical consumables reduced their product brand,and the use of 8(5.37%)broad headings of medical consumables were stopped.On the premise that both the person-time of outpatient and emergency,and the person-time of discharge increased,the ratio of the income of hygienic material in medical income decreased from 8.02%of 2022 to 7.29%of 2023,and the ratio of hygienic material cost in overall medical cost decreased from 15.38%of 2022 to 14.17%of 2023,and the accumulated cost of medical consumables was reduced by 7.37 million CNY,accounting for 4.1%of the expenditure of medical consumables.Online procurement rates of medical consumables were respectively 93.05%and 94.34%in 2022 and 2023,which showed an increasing trend year by year.Conclusion:The application of management system of dynamic adjustment for supply catalogue of medical consumables can reduce the ratio of consumables of hospital,and improve the management efficiency of medical consumables,and reduce the procurement cost of medical consumables.

Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique

OBJECTIVE: Evaluate the clinical application effect of low-field infant MRI. METHODS: Using literature review, expert consultation, and two rounds of Delphi to determine the evaluation index system. Then retrospectively analyze and compare the data of low-field infant MRI and high-field MRI from January 2023 to December 2024. RESULTS: There is a certain gap between low-field infant MRI and high-field MRI in terms of signal-to-noise ratio, image uniformity, software system reliability, scanning time, user interface friendliness and image result consistency. However, there was no difference in terms of spatial resolution and image quality. The noise, hardware system reliability, mean time between failure and the rate of examination completed without sedation are better than that of high-field MRI. CONCLUSION Low-field infant MRI meets needs of clinical diagnostic and has stable performance. It can be used as a routine screening tool for brain diseases near the bed.
Magnetic Resonance Imaging/methods* ; Humans ; Infant ; Retrospective Studies ; Signal-To-Noise Ratio ; Reproducibility of Results ; Brain Diseases/diagnostic imaging* ; Brain/diagnostic imaging* ; Software

Antipsychotic medications are commonly used to treat schizophrenia,but they can have negative effects on lipid metabolism,leading to an increased risk of cardiovascular diseases,reduced life expectancy,and difficulties with treatment adherence.The specific mechanisms by which antipsychotics disrupt lipid metabolism are not well understood.Sterol regulatory element-binding proteins(SREBPs)are important transcriptional factors that regulate lipid metabolism.Proprotein convertase subtilisin/kexin type 9(PCSK9),a gene regulated by SREBPs,plays a critical role in controlling levels of low-density lipoprotein cholesterol(LDL-C)and has become a focus of research on lipid-lowering drugs.Recent studies have shown that antipsychotic drugs can affect lipid metabolism through the SREBP/PCSK9 pathway.A deep understanding of the mechanism for this pathway in antipsychotic drug-related metabolic abnormalities will promote the prevention of lipid metabolism disorders in patients with schizophrenia and the development and application of new drugs.

In this paper, the classification and location of neuroblastoma in NMR images are realized by using Deep Neural Network(CNN) algorithm as the core technology. The module is integrated to realize the development of computer-aided diagnostic software. It is used to make up for the gap in the field of intelligent identification and accurate positioning of neuroblastoma in the current nuclear magnetic resonance detection technology, effectively reduce the work intensity of doctors reading films, and further promote the clinical application and technical development of nuclear magnetic resonance detection technology in the diagnosis of neuroblastoma.
Algorithms ; Deep Learning ; Humans ; Magnetic Resonance Imaging ; Neural Networks (Computer) ; Neuroblastoma ; diagnostic imaging

Based on the Kraljic model,this paper established the scoring standard system for medical equipment procurement,and determined the weight coefficients of each evaluation factor by the analytic hierarchy process (AHP),then the procurement classification model of medical equipment was successfully established.It is proved that this model can classify medical equipment effectively,which enables the purchasing personnel to adopt corresponding purchasing strategies according to different classification.This model can be extended to all medical equipment procurement,realizing the delicacy and individualized procurement management of the equipment,which has strong operability and guiding significance.
Equipment and Supplies ; economics ; Models, Theoretical

Objective:To investigate the protective effects of Jiannao Yishou capsule(JYC) on hippocampal in Alzheimer's dis-ease (AD) mice. Methods:Male mice were randomly divided into normal control group,model control group,positive control group (donepezil hydrochloride tablets,0.001 g·kg-1),JYC high-dose (3.744 g·kg-1) and low-dose (0.936 g·kg-1) group. Morris water maze was used to test the learning and memory ability of mice. The hippocampal capillary structure was observed by light micros-copy and electron microscopy and the level of hippocampal Aβ was measured by enzyme-linked immunoassay.Results:Compared with the normal control group,the model control group learning and memory significantly reduced,and capillary endothelial cell mitochon-drial degeneration,nuclear condensation,broadening of the perinuclear space,overlapping,Aβ in hippocampal of AD mice were sig-nificantly reduced (P<0.05). Compared with the model control group,the JYC high-dose group learning and memory of mice im-proved significantly (P<0.05),and hippocampal capillary endothelial cell morphology improved significantly,and Aβ in Hippocam-pal of AD mice were significantly reduced(P<0.05). Conclusion:JYC can maintain normal morphological structure of hippocampus capillaries of AD mice,decrease Aβ responses and Improve learning and memory. JYC has protective effects on hippocampal tissues in AD mice.

It was proved that Phenolic alkaloids from Menisphermum dauricum (PAMD) has extensive pharmacological effects, manifested as affecting electrophysiology of the heart, resisting cardiac arrhythmia, inhibiting myocardial infarction, protecting nverves in cerebral ischemia, exerting resisting action in thrombogenesis, dementia, and tumor, and improving learning disorder, and so on. We made an overall sum up of researching progress on PAMD pharmaceutical actions in this article.

OBJECTIVEThe aim of this study is to develop a simple and rapid HPLC method and investigate the effect of glycyrrhizin on pharmacokinetic fate of paeoniflorin after intravenous administration.

METHODPaeoniflorin and glycyrrhizin was administrated to rat via vena caudalis, and paeoniflorin in rat plasm was determined by RP HPLC method and internal standard method. All data were subsequently processed by the pharmacokinetic Software WinNonLin. The non-compartmental pharmacokinetic parameters of area under the plasma concentration-time curve (AUC/min x mg x L(-1)), clearance (CL/mL x min(-1) x kg(-1) ) and volume of distribution (Vd/mL x kg(-1)) were calculated based on moment methods.

RESULTThe values of AUC, V(d) and CL was 166.81 +/- 26.94, 394.33 +/- 29.52, 18.40 +/- 3.12 in control group, respectively; however, the values of AUC, V(d), CL was 235.44 +/- 46.48, 266.63 +/- 48.43 and 13.16 +/- 2.59 in experimental group.

CONCLUSIONGlycyrrhizin significantly influenced the pharmacokinetic fate of paeoniflorin, increasing the value of AUC and decreasing CL and V(d).

Animals ; Benzoates ; administration & dosage ; blood ; pharmacokinetics ; Bridged-Ring Compounds ; administration & dosage ; blood ; pharmacokinetics ; Female ; Glucosides ; administration & dosage ; blood ; pharmacokinetics ; Glycyrrhizic Acid ; administration & dosage ; Injections, Intravenous ; Male ; Monoterpenes ; Random Allocation ; Rats ; Rats, Sprague-Dawley