Objective:To explore the application value of the combination of failure mode and effects analysis (FMEA) and work breakdown structure (WBS) on management of telemetry monitoring system. Methods:Seven sets of used telemetry monitoring systems in Huzhou Third People's Hospital from March 2022 to April 2024 were selected. The routine mode was used to manage the telemetry monitoring systems from March 2022 to February 2023,and the management mode of telemetry monitoring systems based on FMEA and WBS was adopted to manage the telemetry monitoring systems from May 2023 to April 2024. FMEA method was used to analyze the quantitative risk scores of various failures in 1740 uses of the telemetry monitoring system from March 2022 to February 2023,and the fault type was represented by Fx. According to the risk quantification score,the top 5 failure types included poor radio frequency (RF) signal (F2),larger pseudo-interference (F3) of electrocardiogram (ECG),abnormal measurement of blood oxygen saturation (SpO2) (F6),excessive movement and mistake touch (F8) of patients,and identification (ID) number error (F9) of telemetry emission box. WBS quality management method combined with tree chart,countermeasure fishbone chart,task assignment matrix and other tools were performed to conduct the setting of expected objectives,countermeasure analysis,task formulation and work implementation of management of telemetry monitoring system. The above indicators were compared with the changes of the top 5 failure risk grading and incidence of failure in 1850 uses of management of telemetry monitoring system from May 2023 to April 2024. Results:After the telemetry monitoring system was used to conduct management,the risk grading of the F2,F3,F6,F8 and F9 failures with highest risk grading reduced respectively to low grade,middle grade,middle grade,low grade and middle grade. At the same time,the number of F2,F3,F6,F8,F9 failures with the highest risk grading and total failures were respectively 91,89,39,45,39 and 478 times,and the incidence rates of them were 4.92％,4.81％,2.11％,2.43％,2.11％ and 25.84％,which were significantly lower than those of adopting conventional management methods. The differences of them between two methods were statistically significant (x2=2.125,6.911,9.099,2.261,2.431,32.491,P<0.05). Conclusion:The management of combined quality management method of FMEA and WBS for telemetry monitoring system can reduce risk grading and incidence rate of equipment failure,and ensure the safety of equipment in clinical use.

Objective:To explore the application value of the combination of failure mode and effects analysis (FMEA) and work breakdown structure (WBS) on management of telemetry monitoring system. Methods:Seven sets of used telemetry monitoring systems in Huzhou Third People's Hospital from March 2022 to April 2024 were selected. The routine mode was used to manage the telemetry monitoring systems from March 2022 to February 2023,and the management mode of telemetry monitoring systems based on FMEA and WBS was adopted to manage the telemetry monitoring systems from May 2023 to April 2024. FMEA method was used to analyze the quantitative risk scores of various failures in 1740 uses of the telemetry monitoring system from March 2022 to February 2023,and the fault type was represented by Fx. According to the risk quantification score,the top 5 failure types included poor radio frequency (RF) signal (F2),larger pseudo-interference (F3) of electrocardiogram (ECG),abnormal measurement of blood oxygen saturation (SpO2) (F6),excessive movement and mistake touch (F8) of patients,and identification (ID) number error (F9) of telemetry emission box. WBS quality management method combined with tree chart,countermeasure fishbone chart,task assignment matrix and other tools were performed to conduct the setting of expected objectives,countermeasure analysis,task formulation and work implementation of management of telemetry monitoring system. The above indicators were compared with the changes of the top 5 failure risk grading and incidence of failure in 1850 uses of management of telemetry monitoring system from May 2023 to April 2024. Results:After the telemetry monitoring system was used to conduct management,the risk grading of the F2,F3,F6,F8 and F9 failures with highest risk grading reduced respectively to low grade,middle grade,middle grade,low grade and middle grade. At the same time,the number of F2,F3,F6,F8,F9 failures with the highest risk grading and total failures were respectively 91,89,39,45,39 and 478 times,and the incidence rates of them were 4.92％,4.81％,2.11％,2.43％,2.11％ and 25.84％,which were significantly lower than those of adopting conventional management methods. The differences of them between two methods were statistically significant (x2=2.125,6.911,9.099,2.261,2.431,32.491,P<0.05). Conclusion:The management of combined quality management method of FMEA and WBS for telemetry monitoring system can reduce risk grading and incidence rate of equipment failure,and ensure the safety of equipment in clinical use.

Objective:To discuss the effect of different reconstruction algorithms for the image quality of the computed tomographic angiography (CTA) with low dose on head and neck through comparing the images obtained from different reconstruction algorithms, which included filtering and reflection projection technique (FBP), adaptive statistical iterative (ASIR) model and based on iterative reconstruction (MBIR) after CTA with low dose was applied on head and neck.Methods:30 patients who were implemented the CTA on head and neck were enrolled in this study. The gem energy spectrum CT was applied to scan their head and neck, and the tube voltage was set in low dose (80 kVp), and 60-80 mL contrast agent (350 mg I/mL) was injected in elbow vein as 4mL/s. The other parameters were chosen as routine requirement. The obtained original images were reconstructed by using FBP, 60% ASIR and MBIR, and then the three kinds images were compared and scored by using relative statistical analysis.Results: For the using of different reconstruction algorithms (FBP, 60% ASIR and MBIR), the results of image noise showed MBIR<60% ASIR60% ASIR>FBP, and the differences among them were significant. Finally, about the subjective score of image, the results showed MBIR>60% ASIR>FBP, and their differences also were significant.Conclusion: Under gem energy spectrum CT, the image noise of MBIR is lowest and its image quality is best, and it has diagnosis value and meaning in clinical practice.

Objective:To design and analyze a muscle relaxation monitoring system so as to increase the anesthesia efficiency and safety.Methods: The hardware design of system was based on single chip machine (STC89C52RC), and it has the function of LCD real-time display for pressure change and the printing function. The design of software mainly included the system main program design, pressure sensor subroutine, A/D conversion subroutine, LCD real-time display subroutine and printer subroutine, etc.Results:Through the multiple times of test and improvement for the system, the system has achieved stably run, and the pressure value could achieve accurately display between 0-100N.Conclusion: The monitoring system of muscular relaxation has series of advantages, such as simple circuit design, low cost, higher reliability and practicability and so on. It can real-timely and effectively monitor the change of the indexes of muscular relaxation for patients during operation. And the anesthesiologist can effectively control and change medication for patients. In this way, the monitoring system can increase the anesthetic efficiency and decrease the incidence of postoperative residual muscle relaxant.

Objective:To design a automatic classification system for leukocytes in order to increase detection speed of manual microscope inspection and reduce the inaccurate detected results in clinical laboratory; and to evaluate this system.Methods: In this system, the image processing and algorithm classifying were achieved by MATLAB software consisted of digital image processing module and automatic classification module. Classification decision for discrimination function and simulated detection for this system were achieved by using automatic classification module.Results: In the simulation experiments, the detection results for sample cell demonstrated the recognition accuracy can achieve to 93% and the speed can achieve to 97.8 cells per second for this system.Conclusion: The automatic recognition and classification system for leukocyte not only reduces human consumption, but also improves the detection accuracy and detection speed for leukocyte, and it has some significant in clinical application.

Objective: To implement dynamic intelligent management system for patients in mental hospital based on RFID technique so as to achieve safe management for patients and contribute to grasp the patient's status in real time. Methods: The hardware of the designed dynamic intelligent management system was consisted of patient's wristbands (electronic tags), locator, reader and the server. The architecture, hardware and function modules of the system were procedural designed. Results: The new design has changed the traditional supervised situation for psychopath which need many manpower and material resources, and reduced the burden of paramedical staff, and decreased the pressure of management for psychopath and enhanced the management level of modernization in hospital. Conclusion: The dynamic intelligent management system based on RFID technique can enhance the management level of hospital, and accelerate the construction of informatization for hospital and improve the image of hospital.