Innovative Information Research Articles

Biodegradable tracheal stents: our ten-year experience with adult patients

BackgroundBiodegradable (BD) stents made from polydioxanone have been used only in human airways. These stents combine the advantages of classical tracheal stents, and fewer side effects are expected due to their biocompatibility and their time-limited presence in airways. However, new clinical consequences have arisen. Here, the authors share their experiences with BD stents for tracheal indications, focusing on their safety and efficacy.MethodsThis was a retrospective review of a collected database of adult patients who underwent implantation of biodegradable tracheal stents between September 2013 and December 2022 at the Department of Respiratory Medicine of the 1st Faculty of Medicine in Prague and Thomayer University Hospital. The indications included functionally significant nonmalignant tracheal stenosis and tracheomalacia. Self-expandable, biodegradable, polydioxanone tracheal stents manufactured by ELLA-CS Ltd. (Hradec Kralove, Czech Republic) were implanted during rigid bronchoscopy under general anaesthesia. All patients were followed up in the department and were provided with the necessary care. The main efficacy and safety parameters and relationships were analysed using descriptive statistics and Fisher´s exact, Wilcoxon and Kruskal‒Wallis tests.ResultsA total of 65 stents were implanted in 47 adult patients. During the first two months after implantation, when adequate function was expected, the stent was found to be effective in 26 out of 39 patients who completed this period (66.7%). The clinical effectiveness reached 89.7%, as early restenoses were mostly mild and necessitated treatment in only 4 patients. The frequencies of significant mucostasis, migration and granulation tissue growth were 2.6%, 7.5% and 23.1%, respectively, during this period. Thirty-four participants completed the half-year follow-up period after the first or second stent insertion, and some were followed up beyond this period. Poor control of symptoms, the development of restenosis and the need for interventions were characteristic of this period as the stents degraded. Twenty-two patients who experienced remodelling or stabilization of the tracheal lumen achieved a stent-free state. Seven patients underwent subsequent surgical treatment.ConclusionsBD stents are safe and provide adequate tracheal support until they begin to degrade. The use of BD stents necessitates close monitoring of patients and accurate treatment of possible restenosis.Trial registrationBased on project NT14146 – Biodegradable stents in the management of the large airways (2013–2015, MZ0/NT), registered on May 1, 2013, in the Research and Development and Innovation Information System of the Czech Republic and at ClinicalTrials.gov (reg. no. NCT02620319, December 2, 2015).

Unveiling the relationships between visibility, information technologies and innovation management for sustainability performance: an empirical study

PurposeThe paper investigates how visibility, information technology and innovation management impact sustainability performance. It proposes a framework explaining the role of visibility in driving firms' sustainable performance and the relevance of innovation management and information technologies in enhancing organisational visibility. This study intends to add to the discussion within the management literature about the potential of innovation management to drive sustainability. It seeks to provide insight into the practices that small and medium-sized enterprises (SMEs) can adopt to improve their sustainable performance.Design/methodology/approachUsing empirical methods, the study investigates SMEs in central Mexico. The demographic information in the dataset includes 15 years as an average length of service from firms. Of the surveyed firms, 70% were from the manufacturing sector and 30% were from the service sector, as these are the most representative sectors of the productive region. A variance-based structural equation model approach was used to test the hypotheses, processed with the partial least squares (PLS) regression method.FindingsThe research results show that visibility significantly impacts sustainability performance. Innovation management has a higher influence on visibility than information technologies, emphasising the need to improve the quality of information in firms, not just the tools. The findings support managers in comprehending the crucial importance of visibility in aiding firms to achieve higher sustainability performance.Research limitations/implicationsThe study only examined a sample of Mexican SMEs; therefore, the findings' generalizability must be considered within this context. Secondly, the survey only focused on services and manufacturing firms and a more detailed analysis of the sector could provide further clarity on the relationships between variables. As a result, future research should consider these limitations and explore additional contexts to improve the overall understanding of the topic. Moreover, the scale used to measure the variables was adapted from other researchers with similar context research and reflective variables.Practical implicationsThe results provide helpful information for SME managers about the importance of focusing on innovation management processes and employing information technologies as crucial managerial strategies. This will aid in increasing visibility and supporting the development of sustainability performance in firms.Social implicationsThe world red-code, among others, with climate change and social gaps, has generated the need to contribute to sustainable development, and it has mobilised people on all levels all over the world for the simple purpose of preserving life. Therefore, society, as a crucial group that affects and is affected by this red-code situation, should act in favour of visibility, the use of high-quality information (e.g. transparent, accessible and relevant) and information technologies to promote sustainable practices. This could mean that society should be prepared to incorporate new capabilities and spaces to interchange knowledge as a participatory community that can contribute to better sustainable dynamics that could expand its participation in public decisions. Also, the government should encourage digital democracy (e.g. develop social participation platforms), opening and harmonising rules and mechanisms combining high-quality information with IT to provide flexible and adequate services that support sustainable development, such as efforts towards constructing sustainable and smart cities.Originality/valueThis study explores how innovation management can drive firms' sustainability performance, which is crucial for improving competitiveness. The question of how to enhance sustainability performance through managerial drivers is a critical one. This study empirically investigates the nexus of visibility and sustainability performance, innovation management and information technology with visibility.

Blockchain-Based Lean Supply Chain: A Simulation Approach

This paper aims to propose a model based on blockchain and cloud computing technologies to support lean production techniques for industrial supply chain management, evaluating how the combination of these technologies provides improvement in the chain performance. The literature review contextualizes the state of the art in studies related to the application of blockchain technology to lean manufacturing processes, as well as identifies research gaps in this field. Besides, this study models and simulates an architecture based on both the Hyperledger Fabric network and a virtual machine in the cloud environment, assessing its applicability and performance in the industrial supply chain. The analysis addresses lean aspects identified as research gaps, including integration of stakeholders in the collaborative production of customized products, conditions of flexibility and adaptability to demand variations, coordinated relationship of networks involving small and medium-sized enterprises, and behavior of various players acting simultaneously and consensually. The proposed model reveals a decentralized and nonlinear information sharing concept that demonstrates a logic of simultaneous participation of all players involved in the supply chain. The low costs and processing times identified in the simulation indicate the robustness of the system even in transactions involving a large number of companies and a large amount of data. This architecture offers an integration solution between stakeholders to support operational processes, providing insights for researchers and specialists in the adoption of innovative, reliable and inclusive information technologies for companies of different sizes or levels of development, with a focus on lean manufacturing, reduction in resource consumption and cost reduction. The developed model, which combines blockchain and cloud computing technologies applied to stages of lean production systems, presents a differentiated solution on the planning of integrated production systems, indicating the differential in this work.

An innovative information accumulation multivariable grey model and its application in China's renewable energy generation forecasting

Reducing greenhouse gas emissions is urgent for the global community with rising climates. Considering the importance of renewable energy in mitigating climate warming, forecasting renewable energy generation is vital for the Chinese government's future low-carbon and green development plan. This paper proposes a novel multivariable grey model based on historical data on China's renewable energy generation and three industries. A novel information accumulation mechanism with two adaptive factors is designed to improve the traditional multivariable grey modeling defect. Based on the proposed mechanism, this paper optimizes the initial and background values and nonlinear model structure with the whale optimization algorithm. The forecasting results show that the fitting MAPE is 1.13%, comprehensive MAPE is 2.60%, MSE is 50.86, and RMSE is 7.13, which significantly improve the forecasting accuracy of traditional GM(1,N) and are better than other compared models. The forecasting results show that China's renewable energy generation will gradually increase to 5834.02 TWh. The Chinese government should keep the previous Five-Year Plans rising trend of the three industries in the future Five-Year Plans to support renewable energy industries. In China's future energy system, it is necessary to promote incentive policies and capital investment for actively accelerated development to make renewable energy the leading force.

Historical information fusion of dense multi-source satellite image time series for flood extent mapping

Existing lightweight flood extent mapping (FEM) methods, leveraging satellite imagery, offer respite from the burden of extensive data processing. However, these methods often grapple with suboptimal accuracy of the FEM results. To tackle this challenge, this paper introduces an innovative lightweight historical information fusion framework aimed at enhancing FEM results through the utilization of dense multi-source satellite image time series (MSSITS). Firstly, we propose an ultra-lightweight convolutional neural network comprising fundamental network modules, such as convolution layers, batch normalization layers, and parametric rectified linear unit layers. This network swiftly extracts initial FEM results from dense MSSITS. Secondly, we devise a historical information fusion strategy to refine the initial FEM results of the current image by fusing historical FEM results exhibiting high temporal correlation. During the fusion stage, we harness the complementary attributes of dense MSSITS. Specifically, the fusion of diverse satellite sensor data aids in mitigating false alarms in the initial FEM results, thereby facilitating the acquisition of refined FEM results. This approach effectively diminishes the impact of noise interferences, including terrain shadows and surging flood waves in synthetic aperture radar images, as well as cloud occlusions and cloud shadows in optical images. Experimental findings, based on the dense MSSITS of four authentic flood events, demonstrate that our proposed method yields relatively superior FEM performance while maintaining a low FEM complexity in comparison with commonly used semantic segmentation methods.

Financing needs, financing environment and over-disclose innovation information

ABSTRACT Innovation information is an important way for external investors to understand a firm’s innovation capability and future value. Using Chinese A-share listed companies from 2011 to 2021, we examine whether financing needs lead firms to over-disclose innovation information (OII) in their annual reports. The findings indicate that firms with higher financing needs tend to OII. Heterogeneity analysis reveals that the facilitating effect of financing needs on OII is more pronounced among non-state-owned, small, and declining firms, suggesting that heterogeneity of firms’ financing environment is an important moderator of financing needs’ influence on corporate OII.

METHODOLOGICAL PRINCIPLES OF THE FORMATION OF STRATEGIC CONTROL IN THE CONDITIONS OF DIGITALIZATION OF THE ENTERPRISE DEVELOPMENT MANAGEMENT SYSTEM

The article formulates the methodological principles of the formation of strategic controlling in the conditions of digitalization of the economy. The paper proposes a systematic approach to the formation of methodological principles for the application of strategic controlling in the conditions of digitization of the enterprise development management system. The relationship between strategic controlling and the general factors of successful strategies is revealed, and a general diagram of the relationship between strategy and strategic controlling is presented. It is noted that strategic management control is located at the intersection of innovation management, investment management, project management, information and analytical support, management accounting and performs the function of "management by deviation". Digitization is a change in the business model based on digital technologies, and not just a replacement of analog resource to digital. Strategic controlling, as a system of providing organizational, methodological, informational and analytical management, is able to ensure system changes and feedback in the management circuit with the greatest efficiency. He is able to determine the direction and speed of development, to investigate the peculiarities of the external and internal environment, to economically substantiate such transformations in all functional subsystems of the enterprise. Digitization affects the market and changes professions. The successful construction and development of strategic controlling in the company requires the support of top management and qualified controllers, a corporate culture in which dialogue is possible. The factors affecting the implementation of strategic controlling in the organization are revealed. Digitization is a basic element in the proposed methodological approach to the application of strategic controlling in enterprise management.

Maternal and perinatal death surveillance and response in Bangladesh: A case study on measuring impact through health information systems

The health sector in Bangladesh is thriving, and the Maternal and Perinatal Death Surveillance and Response (MPDSR) program has been in place to investigate the causes of maternal and perinatal death. This study aimed to investigate the availability of information systems for measuring the status of an MPDSR program and the planning process and actions developed based on real-time information. This study delved into innovative information systems that can be used to monitor and measure the impact of health programs. The study included both the primary and secondary data. A total of six key informant interviews were conducted to explore the enablers and strengths of information systems. Secondary data were collected from government websites and MPDSR action plans. This study highlights the potential and challenges of governmental health information systems in notifying maternal and neonatal deaths. While the current notification rates are not up to national standards, it is encouraging to see health managers develop action plans and address this issue. The MPDSR information system is a valuable tool to help health managers measure changes in maternal and perinatal mortality rates and design locally targeted interventions. However, several obstacles must be addressed, such as insufficient data, lack of monitoring, and irregularities in MPDSR review meetings. By finding ways to overcome these challenges, we can unlock the full potential of MPDSR and improve maternal and neonatal health outcomes. The success of an MPDSR program relies on how the information is utilized to take action and measure the outcome. Advanced information systems, such as health dashboards, scorecards, and administrative data, can play a vital role in measuring the progress and impact of a program. The primary challenge lies in capturing all deaths, including their causes, and having the capacity to analyze the data effectively to develop action plans for health managers.

Human lip vermilion: Physiology and age-related changes.

The human lip vermilion, also known as the red lip, is important to the quality of life and has long attracted the attention of cosmetic researchers. However, there is limited existing literature on the physiological characteristics and age-related alterations in the human vermilion. We aim to provide an overview of the physiological characteristics and age-related alterations in the human vermilion. This article is a result of previous research. We conducted a literature search using various academic databases such as Google Scholar, Web of Science, and PubMed. Our findings provided a comprehensive understanding of the physiological characteristics and age-related changes of the human lip vermilion. The human lip vermilion has a unique structure and physiological characteristics, and during the aging process, a few changes may occur in the human lip vermilion. Understanding the human lip vermilion's physiological characteristics and age-related changes can provide key information for the future innovation of lip vermilion care products. Further investigations are necessary to reach a consensus on the physiological characteristics and age-related alterations in the human vermilion.

Construction of an innovative entrepreneurship project learning platform introducing a group recommendation algorithm for college students

This work aims to construct an innovative entrepreneurship project learning platform based on a group recommendation algorithm, which assists college students in better identifying and utilizing appropriate team resources during the entrepreneurial process. In order to achieve this goal, the genetic algorithm and probability models are introduced in the research process to improve the accuracy and personalization of group recommendations. First, the genetic algorithm is designed based on the initial population of individuals consisting of college students' diverse innovative entrepreneurship project information and personal characteristics. Individuals are iteratively optimized to find the optimal team combinations through crossover, mutation, and selection. Simultaneously, a probability model is employed to establish the group recommendation algorithm, and a large number of data samples and features are utilized for model training and prediction. Finally, the effectiveness of the proposed Genetic Algorithm-Probability Model-Group Recommendation (GAPMGR) is validated through experiments and comparative analysis. The research findings indicate that the GAPMGR method proposed has significantly improved team combination recommendations for college students' innovative entrepreneurship project learning platforms. Compared to traditional methods, the GAPMGR algorithm's group recommendation performance has improved by 4.92%, enabling more accurate matching of suitable team resources. By introducing the genetic algorithm and probability models, the innovative entrepreneurship project learning platform based on group recommendation can effectively enhance students' entrepreneurial abilities and team collaboration effects. This platform can provide personalized team resource recommendations for students, promote interdisciplinary cooperation, and facilitate the successful implementation of innovative entrepreneurship projects. In the fields of education and entrepreneurship, this work provides a valuable entrepreneurial learning tool for college students and serves as a reference for educational institutions and entrepreneurship mentors. In the field of technology, this work explores the application of the genetic algorithm and probability models in group recommendation, offering new ideas and methods for further research and application.

Innovation in Healthcare Through Information Technologies: A Review

The application of innovative information technologies in healthcare can definitely subside the present limitations of the healthcare industry through better affability and accessibility. It encompasses the use of artificial intelligence, big data, biomedical research including drug invention, medical education, innovative/robotic surgical technology, cutting-edge equipment, telemedicine, virtual consultation, online supportive platforms, etc. The present review is an attempt to identify and analyse the impact of these innovative information technologies and explore the potential scope of improvement in the Indian healthcare system. The database search was performed in Scopus, Web of Science, PubMed, ProQuest, Google Scholar and Wiley Online Library. Initially, 319 articles related to innovative digital healthcare technologies have been sourced. However, 105 articles were taken into consideration for the review due to various exclusion criteria. Through an extensive review of previously published articles, the present study concludes that undoubtedly information technologies and their applications aid providers reduce inefficiencies, increasing quality, increasing access, removing human errors, reducing costs and making diagnosis, treatment and medicine more personalised for patients. It has really improved the quality, quick and convenient healthcare system.

Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach

ABSTRACT Depression is a pressing yet underdiagnosed issue in health management. Because depressed patients share their symptoms, life events, and treatments on digital platforms, information systems (IS) scholars resort to user-generated digital traces for depression detection. While they facilitate innovative information technology (IT) approaches to alleviate the social and economic burden of depression, most studies lack effective means to incorporate domain knowledge in depression detection systems or suffer from feature extraction difficulties. Following the design science research in IS, we propose a Deep-Knowledge-Aware Depression Detection system to detect social media users at risk of depression and explain the detection factors. We deploy extensive empirical analyses to evaluate our designed IT artifact, which shows domain knowledge greatly improves performance. Our work has significant implications for IS research in knowledge-aware machine learning, digital traces utilization, and generalizable design principles. Practically, the early detection and factor explanation from our IT artifact can assist depression management and enable large-scale assessment of the population’s mental health.

Promoting entrepreneurship for sustainable development: Are education capital and ICT diffusion important?

AbstractThis article makes a valuable contribution to the existing literature on sustainable entrepreneurship by investigating the impact of entrepreneurship (both opportunity‐driven and necessity‐driven) on the achievement of sustainable development (SD) across its three dimensions. Additionally, it explores the underlying mechanisms through which this relationship is influenced. Specifically, the study examines the role of education capital (including education levels and government spending on education) and information and communication technology (ICT) diffusion (access, usage, and skills) in facilitating this relationship. The analysis focuses on data from Saudi Arabia and utilizes the Dynamic Ordinary Least Squares (DOLS) estimator. The findings indicate that only opportunity entrepreneurship exhibits a positive influence on SD. Furthermore, the study reveals that the positive impact of opportunity entrepreneurship is amplified through its interaction with government spending on education and tertiary education, leading to favorable indirect net effects on SD at both aggregated and disaggregated levels. Similarly, the interaction between opportunity entrepreneurship and ICT usage, as well as access, generates positive indirect net effects on SD across aggregated and disaggregated levels. Therefore, education capital and ICT diffusion are indeed key mechanisms that foster opportunity‐driven entrepreneurship for achieving SD. Education equips individuals with the necessary skills and mindset, whereas ICTs provide access to information, markets, and tools for business efficiency and innovation. By investing in education and promoting the widespread adoption and accessibility of ICTs, governments can empower individuals to become successful entrepreneurs while driving sustainable economic, environmental, and social progress.

INFORMATION TECHNOLOGY PLATFORM FOR ARMS TRADE

Based on the postulate that the arms trade is generally a complex, specific and multifaceted field of activity, which includes the production, distribution, sale and use of various types of weapons and military equipment. In this context, the authors of the article proposed the development of an innovative information technology platform for accounting and analysis of arms trade processes, which takes into account the peculiarities of domestic legislation. It was noted that the use of blockchain technology on the information and technological platform of weapons sales is aimed at increasing security and tracking the full set of transactions, reducing risks and ensuring maximum transparency of processes. It is assumed that each stage of the life cycle of weapons, starting from design, production and ending with sale, will be recorded by blockchain methods and means. Information about the manufacturer, the date of manufacture, transportation, purchase and acceptance of the weapon by the customer will be recorded in the blocks. With the use of an information technology platform, the validity of licenses will be checked with each transaction, ensuring the legality of the sale and taking into account the unique characteristics of each weapon unit. The information technology platform will store information about transactions, including price, date and participants, smart contracts, etc. Development of an information technology platform that is conveniently integrated into the system of international standards and regulators, as well as meets numerous specific requirements and restrictions on arms trade. The authors of the article claim that the use of cryptography in blockchain technology provides reliable encryption and protection of confidential information, which is critical in a sensitive subject area such as the arms trade, and also contributes to a significant increase in the level of security, transparency and trust among participants in this specific industry. The conducted analysis confirms the expediency of using the potential of blockchain technology to optimize and increase the efficiency of the accounting of arms trade processes, as well as to ensure the reliability and safety of the functioning of the innovative information technology platform.

Digital transformation in supply chains: Assessing the spillover effects on midstream firm innovation

Amidst rapidly evolving market conditions, relying solely on internal information and knowledge for innovation has proven inadequate. The emergence of the digital economy injected renewed vitality into enterprise innovation. However, existing studies have predominantly concentrated on the digital transformation intrinsic to enterprises, neglecting the impact of partners' digital transition on enterprises’ innovation performance. From the perspective of supply chain spillovers, this study evaluates the influence of digital transitions in upstream and downstream enterprises on the innovation activities of midstream enterprises. The results show that the digital transformation of enterprises within the supply chain exhibits a transmission effect, and the digital transformation of upstream and downstream enterprises significantly promotes the innovation performance of midstream enterprises. The mechanistic analysis revealed that the digital transformation of upstream and downstream enterprises mainly enhances the resilience of the supply chain by improving its efficiency, optimizing the match between supply and demand, and stabilizing the relationship between supply and demand, thus promoting the innovation level of midstream enterprises. Further analysis shows that improvements in the innovation output of midstream enterprises are reflected in the quality of innovation. When the upstream and downstream firms belong to the same industry, the supply chain spillover effect of digital transformation is more evident, and simultaneously, the digital collaboration of the supply chain can promote the innovation of midstream enterprises.

Analyst coverage and innovation information manipulation: evidence from listed companies in China

ABSTRACT This study examines the impact of analyst coverage on the strategic innovation information disclosure behaviour of Chinese A-share listed companies from 2011 to 2022. The findings suggest that firms with higher analysts coverage are more likely to manipulate their innovation information, especially positive innovation information manipulation (IIM), during the annual report disclosure process. Heterogeneity analysis suggests that the promotion effect is stronger in firms with high analyst ratings.

Особенности процесса цифровизации музейного пространства в России: проблемы и перспективы развития

The rapid development of information technologies and digital transformation affected various sectors of the economy, including the cultural and museum spheres. At the same time, digitalization in museums brings both advantages and problems. The advantages of attracting innovative information technologies to museum activities are associated with the possibility of preserving and systematizing museum exhibits, increasing the efficiency of administration by institutions, as well as popularizing and attracting the widest public to the museum space through the dissemination of virtual, interactive interaction with visitors. However, there are also problems, such as data protection and the integration of digital proposals into the overall strategy of the museum, insufficient competence of staff, the availability and availability of modern equipment, lack of funding, administrative barriers, etc. The study considers the problem of using information and communication technologies in the activities of museums. To this end, an analysis of the level of digitalization of museum activities in the Russian Federation was carried out, factors that have a positive and negative impact on the process of digitalization of museum space were presented.

Metropolitan Marvels : To Forge Seamless Possibilities for Urban Discoverability and Connectivity

Embodies a particular approach with the devising set out to enrich the quality of the city living experience incorporating technology and real human relationships in applying information in the city. The research journey is going to trace dynamic pathways underpinning in software development through powerful tools like Android Studio among others that helps in designing simple and user-friendly interfaces that easily adjust themselves to the diversity of the residents who live in cities and visitors come to the city. It now focuses to build proper links of implementation not on the technological strides but only by increasing the spotlight. Reliability as well as availability is ensuring that hustling has a strong back-end that would handle the data smoothly by the use of applications like Firebase and Room Persistence. Added to it, the approach makes use of offline capabilities as well part of validation of strict security precursors for performing through real-user trials while designing the likes of the application in conformance to the changing user preferences of the urban communities. This methodology visualizes transformative fostering of people-centric cities in successfully intricacy technology by richness of human experiences within innovative city information application, and elevated urbanlifestyles.

Calculation of product service systems in single and small batch production

AbstractSingle and small batch production is characterized by complex value-added processes and products. The transparent calculation of new offers and change requests is therefore a particular challenge. At the same time, the rising spread of product service systems (PSS) increases the complexity of costing, as additional intangible services have to be calculated precisely. In addition to the challenges posed by such precise calculation of intangible services, companies have to master another complexity driver in the form of PSS. Innovative information and communication technologies (ICT) offer new potential for effective and efficient design of the costing process for the entire life cycle. The rising availability of data along the entire product life cycle significantly increases transparency and, thanks to intelligent analysis algorithms, allows the identification of clear cause-and-effect relationships and forecasting options. The aim of the presented paper is thus to develop a model for calculation of PPS in single and small batch production that exploits the new potential of ICT.

Improving medical safety and user satisfaction through innovative medical care equipment needle removers and electronic information interchange

<p>背景：胰島素注射為糖尿病患控制血糖效果最佳的治療方式之一，然而胰島素在注射過程中可能因為針扎而導致病人生活品質下降，甚至不願意施打而造成疾病惡化。目的：藉由臨床觀察、蒐集施打者使用筆型胰島素針扎時機之不良經驗，製作出可協助移除筆型胰島素針頭之卸針座，降低施打者雙手在裝卸針頭時直接接觸針頭的風險，並提升使用者滿意度。方法：利用3D列印，製作出以ABS樹脂為材質的筆型胰島素注射器安全卸針座—「針小心」，結合臨床施打胰島素常見的問題製作前後測問卷，並依此蒐集受測者資料，比較前後滿意度。結果：在使用者回饋上，卸針座的應用可讓使用者更易於胰島素注射，並得到大部分問項上皆有所改善的結果。結論：「針小心」在使用上可提升醫療安全性，另也使使用者更便於進行胰島素注射，未來也將持續針對使用者回饋意見進行改善。</p> <p> </p><p>Background：Insulin injection is one of the most effective treatments for glu-cose control. However, insulin injections may lead to a decrease in quality of life for patients due to needle sticks during the injection process, and may even result in disease exacerbation if patients are reluctant to undergo injections. Purpose：Given the clinical observation and the collected feedback from unsatisfied insulin injection experiences, we presented a needle remover designed for removing needles from pen injections. It aims to alleviate the risk associated with needle loading/unloading and improve user satisfaction. Methods：We have developed a novel needle remover called “Bye2NeedleStick” using 3D printing technology. In addition, we admin-istered questionnaires related to clinical practicesto assess user satisfaction. Results：Given user feedback, the application of “Needle Care” can make it easier for users to inject insulin and lead to improved results to most of the survey questions. Conclusions： The " Bye2NeedleStick" needle remover for insulin pen injection can improve safety, usability, and reduce risks in clinical use. The product will continue to be improved addressing potential issues from the feedback of users.</p> <p> </p>