• Title/Summary/Keyword: Project Outcomes

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COVID-19 International Collaborative Research by the Health Insurance Review and Assessment Service Using Its Nationwide Real-world Data: Database, Outcomes, and Implications

  • Rho, Yeunsook;Cho, Do Yeon;Son, Yejin;Lee, Yu Jin;Kim, Ji Woo;Lee, Hye Jin;You, Seng Chan;Park, Rae Woong;Lee, Jin Yong
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.1
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    • pp.8-16
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    • 2021
  • This article aims to introduce the inception and operation of the COVID-19 International Collaborative Research Project, the world's first coronavirus disease 2019 (COVID-19) open data project for research, along with its dataset and research method, and to discuss relevant considerations for collaborative research using nationwide real-world data (RWD). COVID-19 has spread across the world since early 2020, becoming a serious global health threat to life, safety, and social and economic activities. However, insufficient RWD from patients was available to help clinicians efficiently diagnose and treat patients with COVID-19, or to provide necessary information to the government for policy-making. Countries that saw a rapid surge of infections had to focus on leveraging medical professionals to treat patients, and the circumstances made it even more difficult to promptly use COVID-19 RWD. Against this backdrop, the Health Insurance Review and Assessment Service (HIRA) of Korea decided to open its COVID-19 RWD collected through Korea's universal health insurance program, under the title of the COVID-19 International Collaborative Research Project. The dataset, consisting of 476 508 claim statements from 234 427 patients (7590 confirmed cases) and 18 691 318 claim statements of the same patients for the previous 3 years, was established and hosted on HIRA's in-house server. Researchers who applied to participate in the project uploaded analysis code on the platform prepared by HIRA, and HIRA conducted the analysis and provided outcome values. As of November 2020, analyses have been completed for 129 research projects, which have been published or are in the process of being published in prestigious journals.

Key success factors for implementing modular integrated construction projects - A literature mining approach

  • Wuni, Ibrahim Yahaya;Shen, Geoffrey Qiping
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.343-352
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    • 2020
  • Modular integrated construction (MiC) is an innovative construction method where components of a building are manufactured in an offsite factory, trucked to the job site in sections, set in place with cranes, and assembled together to form a whole building. Where circumstances merit, favorable conditions exist and implemented effectively; MiC improves project performance. However, several key factors need to converge during implementation to realize the full benefits of MiC. Thus, a thorough understanding of the factors which are critical to the success of MiC projects is imperative. Drawing on a systematic review of 47 empirical studies, this research identified 25 key success factors (KSFs) for MiC projects. Of these, the five topmost cited KSFs for MiC projects include effective working collaboration and communication among project participants; standardization, optimization, automation and benchmarking of best practices; effective supply chain management; early design freeze and completion; and efficient procurement method and contracting. The study further proposed a conceptual model of the KSFs, highlighting the interdependences of people, processes, and technology-related KSFs for the effective accomplishment of MiC projects. The set of KSFs is practically relevant as they constitute a checklist of items for management to address and deal with during the planning and execution of MiC projects. They also provide a useful basis for future empirical studies tailored towards measuring the performance and success of MiC projects. MiC project participants and stakeholders will find this research useful in reducing failure risks and achieving more desired performance outcomes. One potential impact of the study is that it may inform, guide, and improve the successful implementation of MiC projects in the construction industry. However, the rigor of the analysis and relative importance ranking of the KSFs were limited due to the absence of data.

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Incompetent Construction Technologies and Resources in the Construction Industry of Yemen

  • Sultan, Basil;Alaghbari, Wa'el
    • Journal of Construction Engineering and Project Management
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    • v.4 no.1
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    • pp.8-14
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    • 2014
  • The Construction industry in Yemen confronts many development constraints, such as the inadequate implementation of appropriate building materials and labour construction technologies. Thus, this research looks over building materials and labour construction technologies used on the local housing construction projects by verifying the percentage of construction expenditure consumed by the main construction components (Materials, Labour and Overhead and Profit), along with the implemented construction technologies. The paper conducts a survey to acquire the cost distribution of the construction main components. The outcomes of the survey were discussed; the discussion was supported by literature on similar issues from some countries. The outcomes confirmed the relatively limited percentage in labour cost and profit, and the elevated percentage of construction materials cost, which are because of the excessive and inappropriate use of materials. What's more, established that the excessively redundant unskilled labours are not effectively engaged in the construction activities, this is due to the tendency of the market in using labour-base technologies. This paper is to recommend a suitable policies and strategies has to be used to decrease cost by using efficiently appropriate construction practice and local materials, moreover take advantage of excessive labour to reduce unemployment.

Barriers of CM Performance during Pre-Construction Stages in Private CM Projects (민간 CM사업 시공이전단계 CM성과 저해요인 분석)

  • Han, Jae Hoon;Kim, Han Soo
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.4
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    • pp.17-26
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    • 2017
  • The sustainable growth of Construction Management(CM) market depends on clients'acceptance from positive project outcomes of CM services. Achieving the positive outcomes requires CM firms'competency and efforts. Equally, it is critical to understand and overcome barriers of CM performance, which cause inefficiencies and under-performance of CM services. The objective of the study is to identify and discuss the barriers of CM performance during pre-construction stages in private CM projects based on the FMEA technique. Major findings basically suggest that clients and CM firms have roles to play, individually and collaboratively, in order to improve CM performance by eliminating performance barriers.

4P Model for Strategic Research Planning: Focusing on the Cases of Korea Research Institute of Chemical Technology

  • Choi, Kyungsun;Choe, Hochull;Ko, Youngjoo
    • Asian Journal of Innovation and Policy
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    • v.7 no.2
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    • pp.287-309
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    • 2018
  • The demand for efficient utilization of input resources and productive outcomes is increasing as the government's R&D investments in Government-funded research institutes (GRIs) expand. These changes call for improving research-planning activities, which are defined as a set of activities wherein objectives are established, strategies for acquisition and expenditures of research resources are devised, and utilizations of research outcomes are addressed. This study introduces the integrated 4P analysis model that identifies the relationships among patents, papers, products, and projects. It looks into 4P analysis structure and its efficiency as a research planning means through case studies of the Korea Research Institute of Chemical Technology. This study introduces 4P analysis applied to KRICT, which can be utilized for outcome-oriented research planning of GRIs. At the same time, it investigates into the benefits and implications of 4P analysis. It proffers policy suggestions on such aspects as how research planning of GRIs should go through changes in a strategic and systematic way.

Impact of Regional Cardiocerebrovascular Centers on Myocardial Infarction Patients in Korea: A Fixed-effects Model

  • Cho, Sang Guen;Kim, Youngsoo;Choi, Youngeun;Chung, Wankyo
    • Journal of Preventive Medicine and Public Health
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    • v.52 no.1
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    • pp.21-29
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    • 2019
  • Objectives: The Regional Cardiocerebrovascular Center (RCCVC) Project designated local teaching hospitals as RCCVCs, in order to improve patient outcomes of acute cardiocerebrovascular emergencies by founding a regional system that can adequately transfer and manage patients within 3 hours. We investigated the effects of RCCVC establishment on treatment volume and 30-day mortality. Methods: We constructed a panel dataset by extracting all acute myocardial infarction cases that occurred from 2007 to 2016 from the Health Insurance Review and Assessment Service claims data, a national and representative source. We then used a panel fixed-effect model to estimate the impacts of RCCVC establishment on patient outcomes. Results: We found that the number of cases of acute myocardial infarction that were treated increased chronologically, but when the time effect and other related covariates were controlled for, RCCVCs only significantly increased the number of treatment cases of female in large catchment areas. There was no statistically significant impact on 30-day mortality. Conclusions: The establishment of RCCVCs increased the number of treatment cases of female, without increasing the mortality rate. Therefore, the RCCVCs might have prevented potential untreated deaths by increasing the preparedness and capacity of hospitals to treat acute myocardial infarction patients.

Changes in the Structure of Collaboration Network in Artificial Intelligence by National R&D Stage

  • Hyun, Mi Hwan;Lee, Hye Jin;Lim, Seok Jong;Lee, KangSan DaJeong
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.12-24
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    • 2022
  • This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.

The contribution of column optimization on the embodied energy performance of concrete framed buildings

  • Miller, Dane;Doh, Jeung-Hwan;Ho, Nhat Minh;Peters, Tim
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.564-567
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    • 2015
  • The incorporation of sustainability principles into the structural engineering design of buildings is increasingly important. Historically the focus of improvements to the environmental performance of structures has been operational energy considerations. Current research has highlighted the requirement for changing the approach by increasing the consideration of embodied energy in structures. This research was conducted to build on previous research by the authors in quantifying the contribution of column optimization to the embodied energy performance of concrete framed buildings. Ultimately, the authors intend to develop mechanisms through which sustainable design can be quantified, enabling alleviation prior to construction. Columns are a key structural element to consider as part of this development process. The outcomes of this assessment reinforced previous findings, observing that reduced structural weight as a result of other sustainable design measures carries manifold benefits include column design savings. Through the quantification of the embodied energy outcomes during this research phase, the columns were shown to contribute up to 19.71% of the total embodied energy of the structural system dependent upon construction technique used.

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The Analysis of The Factors Affecting The Research Outcomes of Government-funded Research Institutes in Science and Technology (과학기술분야 정부출연연구기관의 연구실적 영향요인 분석)

  • Baek, Sunghyun;Yi, Yoonju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.170-177
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    • 2020
  • The Korean government's R&D budget has risen steadily annually, reaching 24.2 trillion won in 2020, and the ratio of R&D expenditure to GDP ranked high among OECD countries. However, national science and technology innovation ranked low among OECD countries. This study focused on Korean government-funded research institutes in the field of science and technology by analyzing the effects of budget and workforce input on research performance in order to provide directions for management. Multiple regression analysis was conducted with budget and workforce input as independent variables, which influence major research outcomes (SCI paper, patent, royalty). In the research budget, only government contribution had a positive effect on SCI thesis performance, and the increase in the government project and private project funding had a negative effect on the number of patents and technology royalties. For the workforce, the positive effect of regular workers on all research achievements was 3-6 times more than that of non-regular workers. Through this study, policy implications such as establishment of institutional performance indicators according to research types were derived for the outcome driven management of government-funded research institutes in the field of science and technology.

A Case Study of Introduction to Engineering Design Course using Boe-Bot for Improving Course Outcomes (학습성과 향상을 위한 보봇 이용 공학설계입문 운영사례)

  • Kim, Hee-Sun
    • Journal of Engineering Education Research
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    • v.14 no.1
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    • pp.74-81
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    • 2011
  • In this paper, the author researched to enhance course outcomes while increasing the interest in engineering design through the 'Introduction to Engineering Design Course'. Deviating from the current practice of engaging in content-oriented lectures, the redesign of the weekly lecture has been conducted with a focus on learning achievement in order to enhance design competency, teamwork and communication skills, which are the goals of the PO3, PO6 and PO7, respectively. Moreover, assessment tools have been developed according to learning achievement, and rubrics, the measurement criteria, have been defined according to the respective assessment tools, along with course goals for learning achievement and results analysis. To enhance course learning achievement, as well as to induce interest in and satisfaction with the 'Introduction to Engineering Design Course', a design project utilizing a Boe-Bot robot has been carried out. An evaluation on learning achievement and lecture has identified an increase in learning achievement and interest in design in comparison with that of previous lectures.