Model of Information Technology in Management of Medical Equipment

Thi, Men Nguyen; Thuy, Hang Dang; Hong, Minh Nguyen; Quang, Do Tran

doi:10.1007/978-981-13-5859-3_96

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can enable the nursing staff to communicate with medical staff in a timely and effective manner and provide medical convenience. The literature introduces research on telemedicine systems, explains the JMF and RTP protocols used in system development, and explains how to combine these two technologies for system design [ 11 – 13 ]. Then, the requirements of the telemedicine system are analyzed, and the overall structure is designed to analyze the functions and relationships of each module.…”

Section: Related Workmentioning

confidence: 99%

Medical Intelligent System and Orthopedic Clinical Nursing Based on Graph Partition Sampling Algorithm

Heng

Chen

Liu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

This study summarizes the process of graph partition sampling algorithm. Through studying, observing, and comparing many different types of graph partition sampling algorithms, this study represents the learning process sampling into three steps: sampling process, aggregation process, and the calculation process of loss function. The medical intelligence system developed in this study must provide remote audio and video connections between patients, nurses, and doctors, and requires hardware, software, and network collaboration. The hardware includes a server that keeps the medical intelligence system running. The software includes the operating system and server application software that provide the basic functions of the system. The network platform provides network bandwidth and basic configuration to achieve effective connections between different parts. At the same time, the system also defines audio and video encoding and decoding standards. Orthopedic patients are often accompanied by varying degrees of activity limitation and low self-care ability, the particularity of these patients puts forward higher requirements for orthopedic clinical care management. Orthopedic clinical nursing path is a standardized nursing management method supported by evidence-based medicine. In order to meet the requirements of the system design, the goal of the system design is to use the latest computing and network communication technology to organically “connect” the nursing staff, the nursing staff, and the hospital, so that the nursing staff can enjoy the personalized guidance specially made by the doctor at any time.

show abstract

Section: Related Workmentioning

confidence: 99%

Medical Intelligent System and Orthopedic Clinical Nursing Based on Graph Partition Sampling Algorithm

Heng

Chen

Liu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Thi et al pointed out that the management of medical equipment in hospitals in northern Vietnam is very simple and does not use information technology, which is very difficult for the management and effective utilization of medical resources. Based on this, they proposed an application model of information technology in medical equipment management to improve the information management ability of medical equipment [8].…”

Section: Related Workmentioning

confidence: 99%

Research on Urban Intelligent Medical Service System Design Based on Multiobjective Decision-Making Optimization Strategy

Huang

2022

Mobile Information Systems

View full text Add to dashboard Cite

Aiming at the problems of difficult medical treatment for urban residents, low efficiency of hospitals, imbalance of medical resources and difficulty to meet the demands of patients, this paper proposes an urban intelligent medical service system based on multiobjective decision-making optimization strategy. Firstly, it analyzes the medical service demands of urban residents and points out that the urban intelligent medical service system should provide comprehensive services for residents; the main demands include basic medical demands, expected medical demands, and health care medical demands. Secondly, based on demand analysis, an urban intelligent medical service system composed of government, community hospital, large hospital, and urban residents is designed. The system has three kinds of system functions: customer business services, basic services, and institutional information services. Then, the overall process of the system before and after treatment of urban residents is introduced. Finally, according to the optimization objectives of the system: low medical cost, fast treatment speed, and high service satisfaction, the corresponding optimization strategies are formulated to optimize the urban intelligent medical system, reduce medical cost, improve treatment speed, and improve customer satisfaction, to better serve urban residents.

show abstract

Model of Information Technology in Management of Medical Equipment

Cited by 2 publications

References 0 publications

Medical Intelligent System and Orthopedic Clinical Nursing Based on Graph Partition Sampling Algorithm

Medical Intelligent System and Orthopedic Clinical Nursing Based on Graph Partition Sampling Algorithm

Research on Urban Intelligent Medical Service System Design Based on Multiobjective Decision-Making Optimization Strategy

Contact Info

Product

Resources

About