1.Thought on drain of medical engineers
Chinese Medical Equipment Journal 2004;0(07):-
The medical engineering department is an important part in modern hospitals,but the status and functions of medical engineers are ignored,which result in the drain of the experts in this field.This paper analyses the reason and gives the countermeasure.
2.The phenotype and genotype characteristics of 41 patients with steroid 5α-reductase type 2 deficiency
Pengqiang WEN ; Guobing WANG ; Zhanling CHEN ; Zhe SU ; Lili PAN ; Bashan ZHANG
Chinese Journal of Endocrinology and Metabolism 2019;35(3):226-232
Objective To investigate the cliuical phenotype and the genotype of forty-one patients with steroid 5α-reductase type 2 deficiency.Methods The clinical data were collected including physical examination,medical history,laboratory test,as well as ultrasonic examination.Genomic DNA was extracted from peripheral blood leukocytes.Sanger sequencing and targeted gene captured next-generation sequencing were applied to detect the SRDSA2 gene mutation.Results All the patients are Han nationality and their ages ranged from 4 months to 11 years old.The karyotypes of 41 patients were 46,XY and all SRY genes were detected as positive.There were 26 (63%) patients manifested isolated micropenis,and the rest of fifteen patients were hypospadias associated with microphallus accounting for 37%.There were 39 patients who carried biallelic mutation.Two cases just identified one allele mutation.Sixteen gene mutation types were confirmed.Among them c.725A > G (p.Tyr242Cys),c.694C > G (p.His232Asp),and c.548-9T>G are the novel gene types.The allele frequency of c.680G>A (p.Arg227Gln) is 60% (48/80).Conclusion The primary manifestations of patients with steroid 5α-reductase type 2 deficiency were micropenis or hypospadias accompanied with micropenis.c.680G>A (p.Arg227Gln) is the predominantly mutation type of Chinese patient with steroid 5α-reductase type 2 deficiency.
3.Development and application of visual allocation system for emergency medical equipment based on Internet of Things technology
Jilong NI ; Guobing PAN ; Cheng LIN ; Xiaopo KE
China Medical Equipment 2024;21(10):129-134
Objective:To design a visual allocation system of emergency medical equipment based on the Internet of Things technology,and to realize the coordinated allocation of emergency medical equipment in hospitals.Methods:The client and server(C/S)architecture was adopted,and the design of emergency medical equipment visual allocation system was mainly based on Bluetooth 5.1 technology,with automatic acquisition and automatic analysis of Bluetooth positioning tag,low power consumption sensor and signal communication of Bluetooth Internet of Things base station.The sample data of 150 pieces of equipment managed by the traditional allocation center mode of The 900th Hospital of People's Liberation Army Joint Logistics Support Force from January to December 2021 were selected,and the sample data of 150 pieces of equipment allocation during the application of the visual allocation system from June 2022 to June 2023 were randomly selected,and the allocation response time and the allocation warehousing in and out time were compared.A total of 40 ventilator devices were randomly selected during the traditional allocation center mode and the visual allocation period,with 20 ventilators in each mode,the start-up rate,utilization rate and profitability of medical equipment during the service period were compared.Results:The visual allocation system can realize the functions of automatic equipment positioning,emergency deployment,ledger management,remote repair report and benefit analysis.The allocation response time,allocation outbound time and allocation inbound time of the visual allocation system were(19.61±3.119)min,(11.73±2.104)min,(10.21±2.165)min,respectively,which were shorter than(54.98±3.999)min,(21.54±2.811)min,(16.80±2.000)min of the traditional allocation center mode,the difference was statistically significant(t=85.407,34.229,27.395,P<0.05).The start-up rate,utilization rate and profitability of ventilator equipment using visual allocation mode were 78.24%,51.23%and 82.76%,respectively,which were higher than 43.52%,36.26%and 47.83%of the traditional allocation center mode,the difference was statistically significant(x2=8.792,7.813,12.216,P<0.05).Conclusion:The visual allocation system of emergency medical equipment based on the Internet of Things technology can realize the functions of emergency medical equipment allocation and storage,equipment positioning and use status analysis,provide a theoretical basis for the allocation of hospital emergency medical equipment,and maximize the role of emergency medical equipment.