scholarly journals Construction of exchange integrated information chain management model leading by information nurse for large instrument and equipment in operating room

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jinghua Dai ◽  
Xiaoqiang Ren ◽  
Peng Wu ◽  
Xiangdong Wang ◽  
Jiang Li ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Management ◽  
Management Model ◽  
Control Group ◽  
Equipment Management ◽  
Observation Group ◽  
Chain Management ◽  
Information Chain ◽  
Whole Life Cycle ◽  
Running Mode

Abstract Background This study aims to explore the information chain management model of large instrument and equipment inter-working in the operating room (OR) led by information nurses. Methods Through the chain management process of large instruments and equipment in the OR, which was based on information nurses, the management model of inter-working and integrating information chain was established, the key links were controlled, and the whole life cycle management of instruments and equipment from expected procurement to scrapping treatment was realized. Using the cluster sampling method, 1562 surgical patients were selected. Among these patients, 749 patients were assigned to the control group before the running mode, and 813 patients were assigned to the observation group after the running mode. The related indexes for large instrument and equipment management in the department before and after the running mode were compared. Results In the observation group, the average time of equipment registration was (22.05 ± 2.36), the cost was reduced by 2220 yuan/year, and the satisfaction rate of the nursing staff was 97.62%. These were significantly better, when compared to the control group (P < 0.05). Furthermore, the awareness rate of the whole staff for equipment repair application was 95.12%, and the arrival time of maintenance personnel and the examination and approval time of equipment management were greatly shortened (P < 0.05). Conclusion The integrated management model of large instrument and equipment interworking in the OR based on chain flow realizes the whole life cycle management of instruments and equipment, which is essential to improve management efficiency.

scholarly journals Observations on the Application of Nursing Risk Management in the Care of Critically Ill Patients in the Respiratory Unit

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Yannan Sun
Keyword(s):  
Risk Management ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Treatment Satisfaction ◽  
Clinical Symptoms ◽  
Statistical Significance ◽  
Management Model ◽  
Control Group ◽  
Observation Group ◽  
Significant Difference

 Objective: Investigate the effectiveness of nursing risk management in the care of critically ill patients in the respiratory unit. Methods: Among the critically ill respiratory patients admitted to our hospital between May 2019 and April 2020, 78 patients were randomly selected and divided into an observation group and a control group, each consisting of 39 patients. In the observation group, a nursing risk management model was implemented, i.e., patients' clinical symptoms were observed at any time to monitor their treatment satisfaction and the effectiveness of their care and routine care was implemented for the control group. Results: The heart rate, respiratory rate, and pH of patients in the observation group were more stable than those in the control group, and their respiratory status was better, with differences in data. There was also significant statistical significance (P<0.05). The incidence of patient-provider disputes, unplanned extubation, and unplanned events were lower in the observation group compared to the control group, and their data difference was statistically significant (P<0.05). The treatment satisfaction as well as the total effective rate of patients in the observation group was also much higher than that of the control group, and there was also a statistically significant difference in the data (P<0.05). Conclusion: The nursing risk management model has a significant therapeutic effect in the care of critically ill respiratory patients. Therefore, it is worth popularizing to use in the clinical nursing of respiratory critical patients.

Conceptualization of IT Acquisition Life Cycle Management Model

2013 ◽  
pp. 91-122
Keyword(s):  
Life Cycle ◽  
Real Life ◽  
Life Cycle Management ◽  
Life Cycles ◽  
Management Model ◽  
Organizational Preparedness ◽  
Three Phases

Models are expected to present near real life situations and possible effects on the deliverables based on given input environment. However, models do not necessarily indicate the true solutions and provide scope to work on them incrementally. As discussed earlier, organizations may not follow similar paths to acquire IT and may not even derive desired results despite adopting one. This chapter considers it important to include IS as critical input to managing IT acquisition life cycles and delves further into the IT life cycle management principles to conceptualize a model to specific contributions to assess organizational preparedness for IT acquisitions. This model largely includes discussions on IS centric models and argues in favour of assessing the preparedness across three phases, pre-acquisition, acquisition, and post-acquisition. Each phase considers specific inputs with expected deliverables for successful assessment of the preparedness of the organization in that phase.

Research on Whole Life Cycle Management Policy for Green Buildings in Tianjin Eco-City

2011 ◽  
Vol 255-260 ◽  
pp. 3903-3906
Author(s):  
Jia Xi Hu ◽  
De Qing Bu
Keyword(s):  
Life Cycle ◽  
Life Cycle Management ◽  
Practical Experience ◽  
Green Buildings ◽  
Management Policy ◽  
Policy System ◽  
Post Evaluation ◽  
The Government ◽  
Construction Operation ◽  
Whole Life Cycle

Based on whole life cycle of green buildings, the project aims to build a management policy system for green buildings in the eco-city including planning, design, construction, operation, post-evaluation and general management, to promote this system in Tianjin Eco-city guided by “the principle of practicable, replicable and expandable”, and to provide related suggestions for the government to develop life cycle management policies for green buildings with the practical experience of the eco-city project.

scholarly journals HOW CAN INFORMATION AND COMMUNICATIONS TECHNOLOGY SUPPORT THE LINK BETWEEN CIRCULAR ECONOMY AND PRODUCT LIFE CYCLE MANAGEMENT? – A REVIEW

2020 ◽  
Vol 1 ◽  
pp. 2187-2196
Author(s):  
C. Villamil Velasquez ◽  
N. Salehi ◽  
S. I. Hallstedt
Keyword(s):  
Life Cycle ◽  
Circular Economy ◽  
Product Life Cycle ◽  
Life Cycle Management ◽  
Resource Scarcity ◽  
Information And Communications Technology ◽  
System Perspective ◽  
Product Life ◽  
Product Life Cycle Management ◽  
Whole Life Cycle

AbstractLinear production is related to resource scarcity and negative environmental impacts. Circular Economy (CE) emerged for society transition towards sustainability, based on regenerative systems and multiple life cycle products. Product Life cycle Management (PLM) supports the whole life cycle with the aid of Information and Communication Technology (ICT). A literature review analyzed the role of ICT enabling CE based on PLM, identifying challenges and opportunities, active and passive PLM, system perspective, stakeholder's role, and sustainability. Concluding that ICT enables the CE transition.

Study on Whole Life Cycle Management of Cutting Tool

2012 ◽  
Vol 455-456 ◽  
pp. 234-239
Author(s):  
Jin Yan Xu ◽  
Gui Cheng Wang ◽  
Gang Liu
Keyword(s):  
Life Cycle ◽  
Cutting Tool ◽  
Life Cycle Management ◽  
Whole Life Cycle

System of Sustainable Construction Based on Project Whole Life Cycle Management

2011 ◽  
Vol 403-408 ◽  
pp. 2093-2097 ◽  
Author(s):  
Yu Juan She ◽  
Ya Hui Zhu ◽  
Qian Huang
Keyword(s):  
Life Cycle ◽  
Life Cycle Management ◽  
Sustainable Construction ◽  
Project Life Cycle ◽  
Construction Products ◽  
Process System ◽  
Managing System ◽  
Set Up ◽  
Project Life ◽  
Whole Life Cycle

As the result of construction products impact on the environment, the study of sustainable construction has become the high topic. Base on project life cycle management, from the sustainable management content and construction process, the managing system and process system of sustainable construction are set up in this paper following with some practiced methods.

Development of Whole Life Cycle Management System on Cutting Tool

2012 ◽  
Vol 443-444 ◽  
pp. 666-670
Author(s):  
Jin Yan Xu ◽  
Gui Cheng Wang ◽  
Gang Liu
Keyword(s):  
Life Cycle ◽  
Management System ◽  
Integrated Management ◽  
Life Cycle Management ◽  
Enterprise Group ◽  
Network Database ◽  
Life Cycle Theory ◽  
Machinery Manufacturing ◽  
Whole Life Cycle ◽  
Visual Basic 6.0

The research which aimed at low integration and inefficiency of the management in the existing tool management of the machinery manufacturing enterprise (group) in our country, developed tool whole life cycle management system software. It based on the tool whole life cycle theory and adopted Microsoft Visual Basic 6.0 language and Access2003 database. The system could do a series of operation, such as, tool purchasing application, tool adding, tool modifying, tool inquiry, tool borrowing and return, tool breakage forecast. And it could make assembling and disassembling tool sheets according to techniques plan. The system could use network database to store the data and output the data by the form of sheet. And it achieved tool information inquiry, distribution and integrated management.

scholarly journals Reliability Based Life Cycle Management of Bridge Subjected to Fatigue Damage

2020 ◽  
Vol 6 ◽  
Author(s):  
Irina Stipanovic ◽  
Lorcan Connolly ◽  
Sandra Skaric Palic ◽  
Marko Duranovic ◽  
Róisín Donnelly ◽  
...  
Keyword(s):  
Life Cycle ◽  
Decision Support Tool ◽  
Life Cycle Management ◽  
Transport Infrastructure ◽  
Extreme Weather Events ◽  
Investment Strategies ◽  
Support Tool ◽  
Aging Infrastructure ◽  
High Level ◽  
Whole Life Cycle

In recent times, there has been an increase in transport infrastructure failure. This increase is due to aging infrastructure, increased number of extreme weather events caused by climate change, and increased traffic loading. Accordingly, the need for planned and unplanned maintenance interventions is rising. Associated costs do not only involve direct maintenance or reconstruction costs, but also secondary effects experienced by users of the transport network as well as the environment and society in general. Infrastructure managers require tools for accurate quantification of infrastructure resilience that will enable rational adaptation investment strategies, so as to maintain high level of safety of transport networks. Through the development of a Global Safety Framework, at the core of which is a Multi-modal Network Decision Support Tool, the SAFE-10-T project (Safety of Transport Infrastructure on the TEN-T Network) is providing integrated solutions to issues related to infrastructure safety and planning. The paper presents a reliability-based whole life cycle model developed within this project enabling strategic investment decisions that maximize safety, minimize disruption, and environmental impacts and allow for the best use of limited resources. The model is applied on a case study of a bridge in the Port of Rotterdam in the Netherlands.

scholarly journals A Deep Learning-Based Inventory Management and Demand Prediction Optimization Method for Anomaly Detection

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Chuning Deng ◽  
Yongji Liu
Keyword(s):  
Supply Chain ◽  
Deep Learning ◽  
Life Cycle ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Rapid Development ◽  
Chain Management ◽  
Demand Prediction ◽  
Whole Life Cycle ◽  
Core Part

The rapid development of emerging technologies such as machine learning and data mining promotes a lot of smart applications, e.g., Internet of things (IoT). The supply chain management and communication are a key research direction in the IoT environment, while the inventory management (IM) has increasingly become a core part of the whole life cycle management process of the supply chain. However, the current situations of a long supply chain life cycle, complex supply chain management, and frequently changing user demands all lead to a sharp rise in logistics and communication cost. Hence, as the core part of the supply chain, effective and predictable IM becomes particularly important. In this way, this work intends to reduce the cost during the life cycle of the supply chain by optimizing the IM process. Specifically, the IM process is firstly formulated as a mathematical model, in which the objective is to jointly minimize the logistic cost and maximize the profit. On this basis, a deep inventory management (DIM) method is proposed to address this model by using the long short-term memory (LSTM) theory of deep learning (DL). In particular, DIM transforms the time series problem into a supervised learning one and it is trained using the back propagation pattern, such that the training process can be finished efficiently. The experimental results show that the average inventory demand prediction accuracy of DIM exceeds about 80%, which can reduce the inventory cost by about 25% compared with the other state-of-the-art methods and detect the anomaly inventory actions quickly.

scholarly journals Life cycle management model for tunnels

2018 ◽  
Author(s):  
Sandra Skarić Palić ◽  
Irina Stipanović Oslaković ◽  
Meho Saša Kovačević ◽  
Kenneth Gavin
Keyword(s):  
Life Cycle ◽  
Life Cycle Management ◽  
Management Model
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