Research on Self-perception and Active Warning Model of Medical Equipment Operation and Maintenance Status Based on Machine Learning Algorithm / 中国医疗器械杂志

The panoramic perception of medical equipment operation and maintenance status is the basic guarantee for the implementation of smart medical care, the machine learning algorithm-based autonomous perception and active early warning model of medical equipment operation and maintenance status is proposed. Introduce deep learning multi-dimensional perception of medical equipment multi-source heterogeneous fault data training sample characteristics to realize autonomous perception of medical equipment operation and maintenance status, introduce reinforcement learning to realize autonomous decision-making of test sample fault characteristics, and build the active early warning mechanism for medical equipment faults. Taking the equipment department of hospital as the carrier of model effectiveness verification, the effectiveness simulation of the model was carried out, the results show that the model has the advantages of comprehensive fault information perception, strong compatibility of medical equipment, high efficiency of active early warning.

Analysis on hospital medical equipment electrical safety testing / 中国医学装备

Objective:To study the electrical safety of multi-parameter monitor and defibrillation monitor, and guarantee the safe and effective operation by through the medical equipment electrical safety performance in our hospital.Methods: To test 101 different models of multi-parameter monitor and defibrillation monitor electrical safety.Results: The one-time pass rate of 96%, and the two-time rate was 98%, also one multi-parameter monitor and defibrillation monitor hadn’t meet electrical safety performance after repairing.Conclusion: The equipments that don’t meet electrical safety performance prohibit using for clinical purposes; To ensure the safety of medical equipment and life safety of medical workers and patients by through developing the testing of the medical equipment electrical safety performance in our hospital.

Investigate hospital quality and safety of medical equipment management indicators / 中国医学装备

Objective:Preparations level by hospital accreditation and discussion hospital medical equipment quality and safety management indicators. Methods:Ministry of health, three general hospital accreditation standards implementing rules (2011 edition)(thejudging criteria) on hospital quality and safety of medical equipment management requirements research. Results:Establish five indicators hospital medical equipment quality and safety management, include adverse event monitoring indicators, strong inspection of measuring instruments management indicators, the use of personnel training management indicators, emergency life support equipment management class indicators, single-use sterile medical supplies and equipment management indicators. Conclusion:Proposed hospital quality and safety of medical equipment management indicators help to ensure the quality and safety of medical equipment, to provide a reference by exploring management indicators for the quality and safety management of medical equipment.