Transformation Path of Clinical Research Achievements and Its Application in Medical Equipment Management under Background of Multi-agent Collaborative Innovation / 中国医疗器械杂志

By studying the current situation of multi-agent collaborative innovation and clinical achievements transformation at home and abroad, it is clear that multi-agent collaborative innovation is the only way for clinical research achievements transformation under the current background. This paper proposes a set of transformation path of clinical research achievements based on the multi-agent collaborative innovation platform of "production, teaching, research and medicine", which is supported by policy guidance and innovation management, and explore the role of equipment management department in achievement transformation.

Practice and enlightenment of the construction of multi-agent collaborative loose medical alliance under the background of Yangtze River Delta integration / 中华医院管理杂志

Health service is an important part of the integrated development of the Yangtze River Delta. Taking the cooperation practice between Shanghai Tenth People′s Hospital and Suzhou Yinshanhu Hospital as an example, this article introduced the multi-agent cooperation mode of the loose medical alliance including the government, urban hospitals and cross provincial grassroots medical institutions. Among them, the local government provided policy, fund guarantee and guidance, the urban hospital exported management ideas, medicine talents and technologies, and the primary hospital conducted dual training by inviting in and going out to achieve double growth. Through the high gap cooperation between tertiary hospital and primary hospital, Yinshanhu hospital had been comprehensively developed. The loose medical alliance with multi subject coordination and cross region could give full play to the advantages of the loose healthcare alliance mode, achieve multi-win, and have reference significance for promoting the regional integration of medical and health services in the Yangtze River Delta.

Research on clinical application of multi-agent reinforcement learning framework for automatic locating of uterine coronal plane in three-dimensional ultrasound / 中华超声影像学杂志

Objective:To explore the accuracy and clinical application value of a Multi-Agent Reinforcement Learning framework (MARL framework) in three-dimensional ultrasound to automatically locate the coronal plane of the uterus.Methods:A total of 144 female patients who underwent routine gynecological examinations in Luohu People′s Hospital during May 2020 were selected as the experimental subjects. The three-dimensional volume data of the uterus of all the experimental subjects were collected by using the Resona-8 high-end color Doppler ultrasound system. A sonographer with more than 5 years of clinical experience manually locate the coronal plane of the uterus in all collected data, and at the same time automatically locate the coronal plane of the uterus MARL framework. The coronal plane images of the uterus obtained by the two methods were saved, and the operation time of the two methods was recorded. The coronal plane uterine images obtained by the two methods were mixed together, and the images were scored 0-1 by two senior ultrasound experts in a double-blind manner. The average score greater than or equal to 0.6 points was considered qualified.Results:①In 144 volunteers, among the coronal planes of the uterus located by the two methods, 131 were qualified by the manual method, and 137 were qualified by the automatic method.There was no statistical difference between the manual and automatic coronal plane images of the uterus (χ 2=1.934, P=0.164) by the chi-square test. ②Using interquartile range analysis, the median and interquartile range of the image score of the automatic group was 0.80(0.75, 0.90), while the median and interquartile range of the image score of the manual group was 0.80(0.75, 0.90). The Wilcoxon signed rank test was used to analyze the quality of the coronal plane images obtained by manual and automatic methods, and the difference was not statistically significant ( Z=1.241, P=0.215). ③The paired t test was used to compare the time required to locate the coronal surface of the uterus, by manual method (63.65±10.182)s, by automatic method (3.25±0.294)s, the difference between the two methods was statistically significant ( t=19.52, P<0.001). Conclusions:The method based on MARL framework has a high correlation with the manual locating of the coronal plane of uterus in three-dimensional ultrasound, and greatly reduces the operation time. It can be effectively applied in clinical practice and lays a foundation for the automatic diagnosis of uterine related diseases.

Study on Multi-agent Information Interaction Mechanism of Drug Supply Emergency Management Based on Multi-agent Sy s- tem / 中国药房

OBJECTIVE： To provide reference for improving the efficiency of drug supply emergency management in China. METHODS： Referring to the general principle of multi-agent system， the multi-agent information interaction mechanism of drug supply emergency management was constructed by using drug production and distribution enterprises， medical institutions， government， patients and media as the main bodies. RESULTS & CONCLUSIONS： In this study， a multi-agent information interaction mechanism of drug supply emergency management was preliminarily established， which was composed of risk information transfer coordination mechanism， information sharing mechanism and emergency task decomposition mechanism. The process can be divided into four stages as risk prevention， risk early warning， risk response and risk mitigation. The multi-agent information interaction mechanism of drug supply emergency management had certain applicability to improve the transmission efficiency of key information in the process of drug supply emergency management， which can provide new ideas for relevant departments to improve the ability of drug supply risk identification and response， and then improve China’s drug information monitoring system and supply guarantee system.

A simulation research on casualty prediction based on system dynamics and agent-based modeling / 第二军医大学学报

Objective To simulate, predict and analyze the total number, spatial and temporal distribution, and proportion and composition distribution of combat casualties. Methods System dynamics was used to construct an combat process simulation and casualty prediction model. Agent-based modeling was used to import macro casualty data from the prediction model, split the casualty data and assign the combat injury information in a specific proportion. Results The casualty prediction model based on system dynamics could integrate with specific operational mission and analyze the combat influencing factors, weapon destruction performance, and level of protection in both Red and Blue sides. The casual-effect loop and the stock-flow model were constructed on combat process. The degree of damage to the target of the two sides in the battle was transformed to casualty data. We extracted the macro casualty data from the combat casualty prediction model. Through constructing the corresponding relationship between the destruction degree of operational objectives and war wound information of all kinds, we assigned and simulated the traumatic condition of each individual casualty and completed the conversion from casualty to wounded flow. Conclusion Constructed casualty prediction model based on system dynamics and the casualty generating model based on agent can scientifically calculate the spatial, temporal distribution and proportion and composition of casualties.

"The application effect of""comprehensive design experiment evaluation""in the evaluation of nursing experimental teaching" / 中华医学教育探索杂志

Objective To explore the value of applyingcomprehensive design experiment evalua-tionin the evaluation of nursing experimental teaching. Methods In the nursing profession, and after the acute and severe cases were collected, comprehensive design experiment evaluation was carried out by using the first-aid and severe training programs, according to the patients needs. Then the simulation effect of students was evaluated by multi-subjects Afterwards, a questionnaire survey was conducted among 143 participants on clinical competency and experimental assessment. The data were analyzed through ratio. Result 121 nursing students' (84.6%) clinical competence was improved. 143 nursing students (100%) thought that the test was of great significance to achieve education target. 138 nursing students (96.6%) thought that general design and arrangement of satisfaction were high. 141 nursing students (98.7%) were satisfied with the multi-subject evaluation. 106 nursing students (74.1%) were willing to conduct self evaluation and give evaluation of others. Conclusion Comprehensive designing experiments evaluationcan significantly improve the critical clinical competence of nursing students, and can help the professional education target implementation. The operation mode is recognized by the students. The evaluation of the multi-subject evaluation is highly respected, but it needs to develop the students' ability of objective evalua-tion.

Chronic Heart Failure Follow-up Management Based on Agent Technology / 대한의료정보학회지

OBJECTIVES: Monitoring heart failure patients through continues assessment of sign and symptoms by information technology tools lead to large reduction in re-hospitalization. Agent technology is one of the strongest artificial intelligence areas; therefore, it can be expected to facilitate, accelerate, and improve health services especially in home care and telemedicine. The aim of this article is to provide an agent-based model for chronic heart failure (CHF) follow-up management. METHODS: This research was performed in 2013-2014 to determine appropriate scenarios and the data required to monitor and follow-up CHF patients, and then an agent-based model was designed. RESULTS: Agents in the proposed model perform the following tasks: medical data access, communication with other agents of the framework and intelligent data analysis, including medical data processing, reasoning, negotiation for decision-making, and learning capabilities. CONCLUSIONS: The proposed multi-agent system has ability to learn and thus improve itself. Implementation of this model with more and various interval times at a broader level could achieve better results. The proposed multi-agent system is no substitute for cardiologists, but it could assist them in decision-making.

Multi-Agent System as a New Approach to Effective Chronic Heart Failure Management: Key Considerations / 대한의료정보학회지

OBJECTIVES: Given the importance of the follow-up of chronic heart failure (CHF) patients to reduce common causes of re-admission and deterioration of their status that lead to imposing spiritual and physical costs on patients and society, modern technology tools should be used to the best advantage. The aim of this article is to explain key points which should be considered in designing an appropriate multi-agent system to improve CHF management. METHODS: In this literature review articles were searched with keywords like multi-agent system, heart failure, chronic disease management in Science Direct, Google Scholar and PubMed databases without regard to the year of publications. RESULTS: Agents are an innovation in the field of artificial intelligence. Because agents are capable of solving complex and dynamic health problems, to take full advantage of e-Health, the healthcare system must take steps to make use of this technology. Key factors in CHF management through a multi-agent system approach must be considered such as organization, confidentiality in general aspects and design and architecture points in specific aspects. CONCLUSIONS: Note that use of agent systems only with a technical view is associated with many problems. Hence, in delivering healthcare to CHF patients, considering social and human aspects is essential. It is obvious that identifying and resolving technical and non-technical challenges is vital in the successful implementation of this technology.

Un modelo lógico-formal para el estudio de los argumentos emocionales en los procesos de construcción de acuerdos / Um modelo lógico-formal para o estudo dos argumentos emocionais nos processos de construção de acordos / A logical-formal model for the study of emotional arguments in negotiation processes

Los argumentos son parte de un proceso comunicativo con el cual se trata de incidir en la acción de otros. Gilbert (1994) identifica cuatro modos de argumentación: el modo lógico, el modo emocional, el modo visceral y el modo kisceral. Siguiendo la línea de investigación en psicología computacional marcada por Ortony, Clore y Collins (1988) y el modelo de resolución de conflictos usando negociaciones basadas en argumentos propuesto por Jung y Tambe (2001), este trabajo presenta un modelo lógico-formal para el estudio de un modo concreto de argumentos emocionales dentro del contexto de formación de consensos enmarcado en un proceso de negociación/coordinación. Se discuten sus implicaciones en los modelos cognitivos emocionales basados en el proceso de apreciación/evaluación de la emoción.

Arguments are part of a communicative process through which people try to influence the actions of others. Gilbert (1994) identifies four modes of argumentation: (a) logical, (b) emotional, (c) visceral, and (d) kisceral. Following the line of research in computational psychology proposed by Ortony, Clore and Collins (1988), and the model of conflict resolution using argumentation-based negotiations proposed by Jung and Tambe (2001), this paper presents a logical-formal model for studying of emotional arguments within the context of consensus building framed in negotiation and coordination processes.

Os argumentos são parte de um processo comunicativo com o qual se trata de incidir na ação de outros. Gilbert (1994) identifica quatro modos de argumentação: o modo lógico, o modo emocional, o modo visceral e o modo kisceral. Seguindo a linha de investigação em psicologia computacional definida por Ortony, Clore y Collins (1988) e o modelo de resolução de conflitos usando negociações baseadas nos argumentos propostos por Jung e Tambe (2001), este trabalho apresenta um modelo lógico-formal para o estudo de um modo concreto de argumentos emocionais dentro do contexto de formação de consensos demarcado em um processo de negociação /coordenação. Discutem-se suas implicações nos modelos cognitivos emocionais baseados no processo de apreciação /avaliação da emoção.

Multi-Agent-Based Modeling and Simulation for Complex System of Hospital / 医疗卫生装备

Objective To improve the organization and management of the hospital,optimize the medical processes,improve medical quality and reduce medical costs.Methods A method of using multi-agent technology to hospital complex system modeling and simulation was introduced.The theory of complex system and its modeling method were simply introduced and the complex system characteristic and the medical processes of hospital were analyzed.Results The technology and fundation of multi-agent modeling were summarized.The steps of modeling and simulation for complex system of hospital were presented.The swarm simulation platform and the detail design of agent model in hospital were also presented.Conclusion It is proposed that the simulation research of hospital should use the methodology of multi-agent-based modeling and simulation,which is the research method of complex system.