Objective To analyze and discuss the influence of qualitycontrol on clinical laboratory results under the management of clinicallaboratory control, and to clarify the effective value of qualitycontrol in clinical laboratory. Methods A total of 80 patients who werecompletely registered in our hospital from January to August, 2023 andreceived medical examination were selected for a controlled study. Thepatients in the control group were treated with routine qualitymanagement methods, while the patients in the research group weretreated with quality control methods. Compare the qualified rate,satisfaction and examination results of nursing staff in the two groups,and collect the reasons for the unqualified examination results andevaluate them. Results Compared with the qualified rate of patients, theoverall qualified rate of the study group was ${97.5}\%$ , which was significantly higherthan that of the control group (85%), with statistical significance $\left({P <{0.05}}\right)$ .Compared with the patients’ satisfaction degree, the overallsatisfaction degree of the study group was 97.5%, which wassignificantly higher than that of the control group (72.5%), withsignificant difference (P<0.05). Compared with the examinationresults of nurses in departments, the patient education ability, samplecollection ability and sample processing ability of nurses in the studygroup were $\left({{89.91}\pm {4.56}}\right)$ points, $\left({{89.52}\pm {5.11}}\right)$ pointsand $\left({{88.88}\pm {4.44}}\right)$ points,which were significantly higher than those in the control group, withsignificant differences $\left({P<{0.05}}\right)$ . Conclusion Doing a good job in qualitycontrol and optimizing clinical medical examination can significantlyimprove the quality of hospital clinical examination, improve patients’satisfaction, improve clinical nurses’ cognition of clinical medicalexamination and enhance their clinical practice ability, which has highclinical application value and can be widely popularized.

With the rapid development of China's automobile industry, vehicle engineering talents are in great demand. College vehicle engineering laboratory is an important place for vehicle engineering specialty to carry out basic and critical education and teaching work, so it is increasingly important to improve the construction level of vehicle engineering specialty laboratory. At present, equipment maintenance and management measures are not in place in vehicle engineering laboratories, which leads to high failure rate and low utilization rate of laboratory equipment. Based on the analysis of equipment failure in the laboratory of vehicle engineering specialty, this paper puts forward the strategy of periodic maintenance, equipment maintenance and management measures such as preventive maintenance strategies, building equipment management systems, and improving use specifications provide ideas for further improving the construction level of vehicle engineering professional laboratories.

University laboratory is an important place for scientific research, and the safety management of laboratory is directly related to the life safety of teachers and students, and will affect the smooth progress of scientific research. However, the traditional management mode has a certain lag, especially in the current situation of more and more types of various tests and more complex, it is very important to actively adopt efficient management to strengthen the management of university laboratory. Capability maturity model is an advanced management concept, which has been gradually introduced into the management of many organizational structures in recent years, and gradually introduced into the management of university laboratories. Therefore, this paper makes an in-depth analysis of university laboratory security management under the guidance of capability maturity model.

With the rapid development of the discipline construction and scientific research level in universities, the safety management of biological laboratories in universities is facing increasingly severe challenges. This paper takes the biological laboratory of a foreign university as the research object, and draws valuable experience from the biological laboratory safety management practice of the university through the analysis of the laboratory safety management organization and management system, which can provide useful reference for the safety construction, network management and training system of biological laboratories in China. It is helpful to improve the standardization and effectiveness of biological laboratory safety management.

With the development of higher education and the improvement of scientific research level, university laboratories have become an important place for cultivating talents and conducting scientific research. The cross-integration of discipline development puts forward higher requirements for the construction of laboratory safety education system. Therefore, it is very important to establish a perfect laboratory safety education system in colleges and universities. This paper focuses on the construction and practice of laboratory safety education system in colleges and universities, and constructs a standardized safety education system from eight elements: educational objectives, educational models, educational objects, teaching staff, educational content, educational methods, assessment and conditions guarantee. Through the system construction and practice, it aims to improve the safety awareness and coping ability of laboratory personnel, reduce the incidence of safety accidents and provide a strong guarantee for the safe operation of university laboratories.

Objective To explore the implementation effect of thequality improvement model based on the backtracking system in thehospital inspection department. Methods 102 patients who implemented theconventional quality management model in the inspection department ofthe hospital from September 2021 to September 2022 were selected as thecontrol group, and 102 patients who implemented the quality improvementmodel based on the quality management system in the inspectiondepartment of the hospital from October 2022 to October 2023 wereselected as the observation group. The two groups of inspectiondepartment personnel (24) are all members of the same group.Compare theassessment and scoring of the two groups of inspection departmentpersonnel, the quality of the inspection and the patient satisfaction. Results Compared with the control group, the data obtained showed thatthe theoretical knowledge, operating skills, service quality, equipmentmaintenance and maintenance, equipment use process, and equipmentmanagement ability scores of the inspection department personnel in theobservation group were higher, and the differences were meaningful froma statistical point of view $\left({P<{0.05}}\right)$ ; compared with the control group, thequality inspection effect, safety management, ward management andworking environment scores of the inspection department personnel in theobservation group were higher, and the differences were meaningful froma statistical point of view $\left({P<{0.05}}\right)$ ; Compared with the control group, the dataobtained showed that the patient satisfaction of the observation groupwas higher, and the differences were meaningful from a statistical pointof view $\left({P<{0.05}}\right)$ ; Compared with the control group, thepatient satisfaction of the observation group was higher, and thedifferences were meaningful from a statistical point of view $\left({P <{0.05}}\right)$ ; The dataobtained compared with the control group, the patient satisfaction ofthe observation group was higher, and THE differences were meaningfulfrom a statistical point of view $\left({P<{0.05}}\right)$ . Conclusion The application of the qualityimprovement model based on the backtracking system to the hospitalinspection department can improve the assessment and scoring of itsinspectors and the quality of inspections, and the patient satisfactionis higher and the implementation effect is better.

In order to improve the comprehensive service capabilities of medical device inspection and testing laboratories, the inspection and testing business activities are empowered by digital means, and complete the digitization of the entire lifecycle of laboratory business. This article proposed a construction idea and design plan for the digitization of provincial medical device inspection institutions laboratories, designed the design principles, technical routes, and architecture of digital laboratories, constructed application scenarios for business and digital capabilities, strengthened the quality system of inspection and testing business, and utilized risk monitoring analysis and application of daily commissioning, supervision sampling, registration inspection, rapid evaluation, and defect/warning/recall to better serve supervision and enterprises.

With the rapid development of information technology and the deepening implementation of digital transformation, digital management has been applied to various fields and industries. To meet the quality requirements regardless of improvement, third-party inspection and testing institutions are constantly trying innovative digital management methods to improve the efficiency and accuracy of their equipment management and monitoring. This paper deeply discussed the current situation and existing problems of equipment management in third-party inspection and testing institutions, and proposed feasibility analysis and application scenarios for the intelligent management and application of equipment numbers in third-party inspection and testing institutions. This paper improved the efficiency of equipment management by automating intelligent equipment and implementing data monitoring, and integrated and analyzed equipment data by using data intelligent management to provide data support for accurate decision-making.

Objective To investigate the effect of laboratoryinformation management system applied in the quality management oflaboratory department and its impact on the accuracy of specimen testreport. Methods The 1876 specimens that were tested in the laboratorydepartment of our hospital from January 2022 to December 2023 wereincluded in the study, and were divided into two teams according to thedifferent management modes chosen for different time periods; theroutine management was implemented in the laboratory department fromJanuary 2022 to December 2022 ( $n={938}$ , included in the routine team), and the routinemanagement measures were carried out on the basis of the routinemanagement measures in the laboratory department from January 2023 toDecember 2023 ( $n ={938}$ , includedin the surveyteam), to observe the impact of adverse events, test reportsituation and management effect under different management modes. Results Comparing the incidence of adverse events (mislabeling, specimenloss, test failure) between the two teams, the surveyteam (1.81%) waslower $\left({{\chi }^{2}= {7.627}, P<{0.05}}\right)$ ; comparing the specimen test reports betweenthe two teams, the surveyteam had a higher rate of return of criticalvalues, qualified rate of test returns, accurate rate of test reports,and timely rate of critical value reports $\left({P <{0.05}}\right)$ ; Comparisonof the management effect scores of the two teams under differentmanagement modes, the management effect scores of the inspectionpersonnel during the management period were higher in the surveyteam(P<0.05).

The large-scale instrument sharing platform in universities is the core resource for sharing scientific and technological resources. It not only provides strong support for teaching and research in various universities, but also offers technical support to relevant enterprises and other social units. After analyzing the current large-scale instrument sharing platforms in universities, it was found that there are problems in the service process. Based on the development of service plans, the construction of experimental teams, cross institutional cooperation mechanisms, and service quality evaluation and monitoring mechanisms, a “one-stop" service system guided by "demand" was proposed to optimize the entire service process, promote the improvement of sharing benefits, and form a closed-loop management.