Medical fiber endoscope is one kind of medical device that utilizes fiber technique to realize visual detection for internal organs or cavities.In clinical applications,medical fiber endoscope not only need to complete fiber optic imaging but also need possess the functions of delivering water and air,and operating device.Therefore,its routine management and maintenance for fault is more and more payed attention by the staffs of using medical fiber endoscope in department.The system of delivering water and air is a key structure for some of medical fiber endoscopes,which has higher maintenance matters and frequency of maintaining fault.Based on the above reasons,this research analyzed the working principle of medical fiber endoscopes,and summarized the ideas and methods of repairing common faults through focused on the structural composition of delivering system of water and air of medical fiber endoscopes,so as to improve the management level for this type of medical device.

Medical fiber endoscope is one kind of medical device that utilizes fiber technique to realize visual detection for internal organs or cavities.In clinical applications,medical fiber endoscope not only need to complete fiber optic imaging but also need possess the functions of delivering water and air,and operating device.Therefore,its routine management and maintenance for fault is more and more payed attention by the staffs of using medical fiber endoscope in department.The system of delivering water and air is a key structure for some of medical fiber endoscopes,which has higher maintenance matters and frequency of maintaining fault.Based on the above reasons,this research analyzed the working principle of medical fiber endoscopes,and summarized the ideas and methods of repairing common faults through focused on the structural composition of delivering system of water and air of medical fiber endoscopes,so as to improve the management level for this type of medical device.

In order to meet the accuracy requirements of hospitals for abnormal detection of fetal monitor data,a hospital fetal monitor data anomaly detection method based on Euclidean distance was proposed.In this method,according to the abnormal detection method of fetal monitor data in hospitals,the ultrasound Doppler detector was used to collect fetal heart rate signal data,and the fetal heart rate signal denoising method based on adaptive filtering was used to remove the noise components of the collected fetal heart rate signal.The denoised fetal heart rate signal was used as the identification sample of the abnormal fetal heart rate signal identification method based on Euclidean distance method.The Euclidean distance Euclidean distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was analyzed by combining the Euclidean distance method and the strong classifier to analyze whether the virtual sinusoidal distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was greater than the tuned Euclidean distance threshold.Fetal heart rate signal samples greater than the threshold were classified and diagnosed as abnormal monitoring data.The fetal heart rate information collected by the fetal monitor in the hospital was accurate,and the abnormal detection results were valid and reliable.

Objective:To study the clinical application value of the data security governance path and countermeasures of information-based medical equipment maintenance management. Methods:The User Service Two Context (US2C) model was used to divide data governance indicators of medical equipment maintenance management,and the indicators of governance capability,governance effect and governance efficiency were evaluated from the conditional factors of users,services,internal environment and external environment,the necessity of antecedent factors and the coverage rate of combination conditions were analyzed by fuzzy set qualitative comparative analysis (fsQCA),and the security governance management path of security,data volume and system standardization was developed. The maintenance management data of 285 sets of medical equipment in clinical use in The Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital) from 2020 to 2023 were selected,and the maintenance management data of 256 sets of equipment in the period from 2020 to 2021 adopted conventional management mode,and the maintenance management data of 268 sets (including 239 sets in use in conventional management) of medical equipment during 2022-2023 adopted the security governance model. A self-made questionnaire was used to investigate whether the amount of maintenance management data met the actual needs of 120 participants who used the equipment. The security,frequency of use and operation quality of medical equipment maintenance management data of the two management modes were compared. Results:The average risk rate of medical equipment maintenance management data using security governance mode was (1.333±0.741)％,which was lower than that of conventional management mode,the average accuracy and effectiveness were (93.925±3.432)％and (88.500±4.404)％,respectively,Which were higher those of the conventional management mode,the differences was statistically significant (t=2.298,4.784,P<0.05). The average satisfaction rate of the 120 participants who used the equipment was (94.367±3.093)％ of the medical equipment maintenance management data using the safety governance model,which was higher than that of the conventional management mode,and the difference was statistically significant (t=4.365,P<0.05). The frequency of use of medical equipment failure data,maintenance item data and management input data of the security governance mode were (4.092±1.709) times/year,(4.341±1.397) times/year and (3.821±0.976) times/year,respectively,which were higher than those of the conventional management mode,the difference was statistically significant (t=2.101,4.400,6.386,P<0.05). The failure frequencies of medical electronic equipment,life support equipment,operating room equipment,medical laboratory equipment and other medical equipment using the security governance mode were (0.831±0.335) times/year,(0.927±0.293) times/year,(1.085±0.439) times/year,(0.702±0.047) times/year and (1.456±0.485) times/year,respectively 0.485),which were lower than those of the conventional management mode,and the difference was statistically significant (t=5.330,5.486,4.756,6.974,3.598,P<0.05). Conclusion:The data security governance path and management countermeasures of information-based medical equipment maintenance management can standardize the medical equipment maintenance management data collection process,improve data security performance,improve data application efficiency,and improve equipment operation quality.

Objective:To study the clinical application value of the data security governance path and countermeasures of information-based medical equipment maintenance management. Methods:The User Service Two Context (US2C) model was used to divide data governance indicators of medical equipment maintenance management,and the indicators of governance capability,governance effect and governance efficiency were evaluated from the conditional factors of users,services,internal environment and external environment,the necessity of antecedent factors and the coverage rate of combination conditions were analyzed by fuzzy set qualitative comparative analysis (fsQCA),and the security governance management path of security,data volume and system standardization was developed. The maintenance management data of 285 sets of medical equipment in clinical use in The Sixth Affiliated Hospital of South China University of Technology (Foshan Nanhai District People's Hospital) from 2020 to 2023 were selected,and the maintenance management data of 256 sets of equipment in the period from 2020 to 2021 adopted conventional management mode,and the maintenance management data of 268 sets (including 239 sets in use in conventional management) of medical equipment during 2022-2023 adopted the security governance model. A self-made questionnaire was used to investigate whether the amount of maintenance management data met the actual needs of 120 participants who used the equipment. The security,frequency of use and operation quality of medical equipment maintenance management data of the two management modes were compared. Results:The average risk rate of medical equipment maintenance management data using security governance mode was (1.333±0.741)％,which was lower than that of conventional management mode,the average accuracy and effectiveness were (93.925±3.432)％and (88.500±4.404)％,respectively,Which were higher those of the conventional management mode,the differences was statistically significant (t=2.298,4.784,P<0.05). The average satisfaction rate of the 120 participants who used the equipment was (94.367±3.093)％ of the medical equipment maintenance management data using the safety governance model,which was higher than that of the conventional management mode,and the difference was statistically significant (t=4.365,P<0.05). The frequency of use of medical equipment failure data,maintenance item data and management input data of the security governance mode were (4.092±1.709) times/year,(4.341±1.397) times/year and (3.821±0.976) times/year,respectively,which were higher than those of the conventional management mode,the difference was statistically significant (t=2.101,4.400,6.386,P<0.05). The failure frequencies of medical electronic equipment,life support equipment,operating room equipment,medical laboratory equipment and other medical equipment using the security governance mode were (0.831±0.335) times/year,(0.927±0.293) times/year,(1.085±0.439) times/year,(0.702±0.047) times/year and (1.456±0.485) times/year,respectively 0.485),which were lower than those of the conventional management mode,and the difference was statistically significant (t=5.330,5.486,4.756,6.974,3.598,P<0.05). Conclusion:The data security governance path and management countermeasures of information-based medical equipment maintenance management can standardize the medical equipment maintenance management data collection process,improve data security performance,improve data application efficiency,and improve equipment operation quality.