Objective To collect and analyze the data of emergency medicine supply for both Wenchuan and Lushan earthquakes victims in the West China Hospital, so as to provide evidence for scientifically and efficiently carrying out the logistical support for emergency rescue medicines supply, and improving the coping capacity for those similar public health emergencies. Methods Both medicine constituent ratios and DDDs were taken as evaluation indexes, and the data were input by Excel software. Then the following items were analyzed: the use and cost of emergency medicine for victims admitted in the hospital from one day to one month after earthquake, as well as, the acceptance, allocation and use of the donation medicines for both Wenchuan and Lusan earthquakes. Results During the first month after Lushan earthquake, the victims used 26 categories of medicines involving 455 drug specifications in the West China Hospital. The dosage and DDDs of therapeutic medicines were higher than those of ancillary medicines. The donation medicines for Lushan earthquake accepted by the hospital were in 8 categories involving 16 drug specifications, and they were all used to rescue the victims in the hospital. Based on the hospital emergency medicine supply system oriented by the information of victim’s medicine use, the drug specification and total drug cost of the donation medicines for Lushan earthquake decreased by 90.91% and 89.73%, respectively, indicating a more accurate and efficient system compared with those for Wenchuan earthquake. Conclusion The implementation of the hospital emergency medicine supply system oriented by the information of victim’s medicine use is helpful to improve the time efficiency and pertinence of earthquake medical rescue.
ObjectiveTo discuss the influence of tutorial system in standardized emergency residency training. MethodWe reviewed the settings and management of tutorial system in the Emergency Department of West China Hospital since 2009, and summarized the achievements. ResultsThrough practice in these years, the clinical skills, teaching abilities and scientific research capability of standardized-training emergency residents were enhanced greatly. ConclusionsTutorial system facilitates standardized emergency residency training.
ObjectiveTo investigate the status quo of emergency resources in all township hospitals in a county of Aba Autonomous Region. MethodWe set up a uniform electronic version questionnaire between April 15th and 18th, 2015. The leaders of township hospitals filled in their information and uploaded the data including emergency medical services, human resources, medical device and technology application situation. Then, the data were statistically analyzed. ResultsFor these township hospitals, the service population was 2 206.05±846.95, the service radius was (25.5±14.3) km. The number of registered doctors per 1 000 people of resident population was 1.52, the number of registered nurses per 1 000 people of resident population was 0.47, and the number of hospital beds per 1 000 people of resident population was 1.69. The staff in all township hospitals included 74 doctors and 23 nurses. The constitution of positional titles and academic qualifications of doctors and nurses in these township hospitals was not significantly different (P>0.05). All township hospitals had a total of six ambulances, one of which was ambulance for rescue and monitoring, and the others were ordinary ambulances. The devices equipped in the ambulances and hospitals were not sufficient, and most doctors and nurses could only perform surrounding vein puncture, and debridement and suture surgery. They could not recue critically ill patients alone. ConclusionsFor these township hospitals, the service radius is too long, the number of doctors and nurses is too small, and the ability of service is insufficient. In order to meet the demand of emergency resources in ethnic areas as far as possible, we should increase investment and promote medical devices, increase the number of doctors and nurses, improve the personnel structure, and strengthen professional training.
Objective To comparatively analyze the rationality of emergency medication after Wenchuan earthquake with that after Lushan earthquake in West China Hospital of Sichuan University, based on the use of medicine of the victim’s disease spectrum. Method By using Excel, defined daily dose system (DDDs) and drug utilization index (DUI) were used as the evaluation indexes to analyze the rationality of emergency medication in West China Hospital of Sichuan University within one month after Wenchuan earthquake and Lushan earthquake. Results Within one month after Wenchuan and Lushan earthquake, there were 1 839 and 488 victims treated in the hospital, respectively. Within one month after the two earthquakes, the variation tendency of DDDs of drugs and number of victims was consistent, and the consistency was better in Lushan earthquake than that in Wenchuan earthquake. Among the 60 drugs which DDDs were ranked top five in their pharmacological class (top ten for antimicrobials) in Wenchuan earthquake, the majority of them were injections (injections vs. non-injections: 70.0% vs. 30.0%); the results showed that the medication (DUI=1) only accounted for 10.0%, the medication (DUI<1) accounted for 28.3%, which implied that the use of drugs was insufficient, the medication (DUI>1) accounted for 61.7%, which implied that drugs were overused; the average of DUI was 1.61. And in Lushan earthquake, injections also accounted for a larger proportion than non-injections (63.3%vs. 36.7%); the results showed that the medication (DUI=1) accounted for 15.0%, the medication (DUI<1) accounted for 38.3%, the medication (DUI>1) accounted for 46.7%; the average of DUI was 1.30. Conclusions Base on the DUI, we draw the conclusion that the rationality of emergency drug use and the timeliness of emergency drug supply were better in Lushan earthquake than those in Wenchuan earthquake. But the rationality of using the DUI, which is an evaluation index for normal conditions, to evaluate the emergency conditions still needs to be further verified.
With the innovation and breakthrough of key technologies in smart medicine, actively exploring smart emergency measures and methods with artificial intelligence as the core technology is helpful to improve the ability of emergency medical team to diagnose and treat acute and critical diseases. This paper reviews the application status of artificial intelligence in pre-hospital and in-hospital diagnosis and treatment capabilities and system construction, expounds on the challenges it faces and possible coping strategies, and provides a reference for the in-depth integration and development of “artificial intelligence + emergency medicine” education, research and production during the new wave of scientific and technological revolution.
Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.
The new quality productivity characterized by digitization and intelligence injects new force into the high-quality development of emergency medicine, bringing unprecedented opportunities and challenges. This article analyzes the problems existing in the development of emergency medicine and proposes to utilize the improvement of new quality productivity as a way to break through the gap for high-quality development of emergency medicine. Digital intelligence is an important means to promote the development of new quality productivity. This article reviews the impact of digital intelligence construction on health warning monitoring, diagnosis and treatment, workflow, resource allocation, providing a reference for the high-quality development of emergency medicine.