• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.20-29
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• 2013

Medical errors such as adverse drug event, improper transfusion, wrong-site surgery, mistaken patient identity and so on commonly occur at health care practice. Information technology, like Drug Utilization Review(DUR) system which reviews, analyzes, and interprets medication data when prescribing, can play a key role in reducing such medical errors and improving patient safety. Korean Government has guided all hospitals to implement concurrent DUR(cDUR) system, which is the first case worldwide in that all healthcare providers have to use cDUR system when prescribing. This paper introduced a case study that a tertiary hospital has integrated the cDUR system into its comprehensive Hospital Information System(HIS) and analyzed the whole prescription data during a week right after adoption of cDUR system. Considering technical strength and weakness, the cDUR system was integrated into the HIS, using Broker Servers for minimizing doctors' anxiety. As the quantitative analysis of the whole prescription data, DUR conflict events, which mainly included duplicate medications and contra-indicated drug interactions for outpatients, were 2.77%. Although only 0.7% is for the contra-indicated drug interactions, it will be greatly devoted to achieve the purpose of DUR such as improving patient safety.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.35 no.7
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• pp.9-25
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• 2017

In this paper, we surveyed state-of-the-art health and wellness platforms. The motivation of this paper is to review the state-of-the-art health and wellness platforms and their maturity with respect to adoption of latest enabling technologies. The is review is classified into four categories: healthcare systems, AI-assisted healthcare, wellness platforms, and open source health and wellness initiatives. From this comprehensive review, it can be stated that the contemporary healthcare systems are well-adopting wellness due to the concentration shift towards prevention. Thus, the gap between health and wellness is slowly yet carefully entering gray area. Where both the domains can freely invoke each other's services, and supporting enabling technologies. Furthermore, the biomedical researchers and physicians are no longer carrying the myopic views of trusting their knowledge for diagnosis. AI-assisted technologies based on machine learning and big data are influencing today's prognosis with trust and confidence.

• Journal of Biosystems Engineering
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• v.40 no.1
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• pp.67-77
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• 2015

Purpose: Fungal secondary metabolite (mycotoxin) contamination in foods can pose a serious threat to humans and animals. Spectroscopic techniques have proven to be potential alternative tools for early detection of mycotoxins. Thus, the aim of this review is to provide an overview of the current developments in nondestructive food safety testing techniques, particularly regarding fungal contamination testing in grains, focusing on the application of spectroscopic techniques to this problem. Methods: This review focuses on the use of spectroscopic techniques for the detection of fungi and mycotoxins in agricultural products as reported in the literature. It provides an overview of the characteristics of the main spectroscopic methods and reviews their applications in grain analysis. Results: It was found that spectroscopy has advantages over conventional methods used for fungal contamination detection, particularly when combined with chemometrics. These advantages include the rapidness and nondestructive nature of this approach. Conclusions: While spectroscopy offers many benefits for the detection of mycotoxins in agricultural products, a number of limitations exist, which must be overcome prior to widespread adoption of these techniques.

• Journal of Information Science Theory and Practice
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• v.10 no.4
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• pp.87-109
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• 2022

Previous studies have found that the use or development of theory in library and information science (LIS) research is comparatively low and may be trending downward. LIS has also been criticized for relying on theories imported from other disciplines rather than applying or developing theories from within. The theory of information worlds, a social information behavior theory originally introduced in 2008, represents a newer LIS theory whose level of adoption is understudied. This study features a systematic literature review of peer-reviewed research articles which cited or used the theory of information worlds from 2008 to early 2022 to identify trends related to levels of theory use, publication venues, author affiliations, countries, and collaborations, as well as research methods, topics, and populations. Findings suggest that both awareness and use of the theory of information worlds are positively trending, though at slower rates for higher levels of theory use, such as full applications of the theory to guide the collection and analysis of empirical data. The theory has also been used by researchers from around the world and across disciplines, most often with mixed and qualitative methods. While the growth of a new LIS theory is promising, the authors echo calls for increased use and development of the theory of information worlds, and other LIS theories more broadly, and as more interdisciplinary collaboration.

• The Korean Journal of Physiology and Pharmacology
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• v.28 no.5
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• pp.393-401
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• 2024

Large language models (LLMs) are rapidly transforming medical writing and publishing. This review article focuses on experimental evidence to provide a comprehensive overview of the current applications, challenges, and future implications of LLMs in various stages of academic research and publishing process. Global surveys reveal a high prevalence of LLM usage in scientific writing, with both potential benefits and challenges associated with its adoption. LLMs have been successfully applied in literature search, research design, writing assistance, quality assessment, citation generation, and data analysis. LLMs have also been used in peer review and publication processes, including manuscript screening, generating review comments, and identifying potential biases. To ensure the integrity and quality of scholarly work in the era of LLM-assisted research, responsible artificial intelligence (AI) use is crucial. Researchers should prioritize verifying the accuracy and reliability of AI-generated content, maintain transparency in the use of LLMs, and develop collaborative human-AI workflows. Reviewers should focus on higher-order reviewing skills and be aware of the potential use of LLMs in manuscripts. Editorial offices should develop clear policies and guidelines on AI use and foster open dialogue within the academic community. Future directions include addressing the limitations and biases of current LLMs, exploring innovative applications, and continuously updating policies and practices in response to technological advancements. Collaborative efforts among stakeholders are necessary to harness the transformative potential of LLMs while maintaining the integrity of medical writing and publishing.

• Journal of Korea Trade
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• v.24 no.2
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• pp.31-52
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• 2020

Purpose - This study mainly investigates two potential legal regimes expected to govern the use of electronic bills of lading: the Rotterdam Rules (2009) and the UNCITRAL Model Law on Electronic Transferable Records (2017). Widespread use of electronic bills of lading has been unsuccessful partly due to the absence of a uniform legal regime and protracted uncertainties. This paper aims to carry out an assessment of the possibilities where either of two potential legal regimes could provide certainty to the effect and validity of the use of electronic bills of lading, and contribute to the facilitation of electronically transferring the rights to goods carried by sea. Design/methodology - This paper first introduces two legal instruments and the relevance to electronic bills of lading. Since neither of these legal instruments has yet entered into force, the following section looks into the ratification or enactment possibilities based on a literature review and track records of the past legal regimes of the same kind. Assessment of the different adoption possibilities further requires comparative work of the two legal instruments, which will be based on an analysis of relevant provisions and a literature review. The literature review on the Rotterdam Rules delves into various studies and data produced since the UNCITRAL's adoption in 2009. The literature review on the UNCITRAL Model Law on Electronic Transferable Records heavily relies on UNCITRAL working group documents from 2011 to 2017 together with the final explanatory note. Findings - The main findings can be summarized as follows. Application of the Rotterdam Rules would negate the role of the UNCITRAL Model Law on Electronic Transferable Records assisting in the implementation of the Rotterdam Rules due to some conflicting issues. Enactment of the UNCITRAL Model Law alone can sufficiently provide a higher level of certainty in the use and effect of electronic bills of lading so long as lawmakers and parties are aware of some issues with the application. What concerns potential users most is the extension of the status quo, where neither of the legal instruments have any effect. It is necessary to take a number of alternatives into consideration, such as promotion of standard clauses and confirmation by a court ruling. Originality/value - Existing studies focus either on the Rotterdam Rules or on the UNCITRAL Model Law, but not both. Not many papers have yet dealt with the Model Law, which was adopted by UNCITRAL only 2 years ago, particularly in the context of a potential legal regime for electronic bills of lading. This paper attempts to introduce the differences between the two legal instruments in regulating the use of electronic bills of lading while providing an assessment of the various possibilities for which parties involved in international trade can be better prepared for the changing legal environment.

• Quality Improvement in Health Care
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• v.22 no.2
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• pp.43-73
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• 2016

Purpose: The aims of this study were to assess the presence of core patient safety practices in Korean hospitals and assess the differences in reporting and learning systems of patient safety, infrastructure, and safe practices by hospital characteristics. Methods: The authors developed a questionnaire including 39 items of patient safety staffing, health information system, reporting system, and event-specific prevention practices. The survey was conducted online or e-mail with 407 tertiary, general and specialty hospitals. Results: About 90% of hospitals answered the self-reporting system of patient safety related events is established. More than 90% of hospitals applied incidence monitoring or root cause analysis on healthcare-associated infection, in-facility pressure ulcers and falls, but only 60% did on surgery/procedure related events. More than 50% of the hospitals did not adopted present on admission (POA) indicators. One hundred (80.0%) hospitals had a department of patient safety and/or quality and only 52.8% of hospitals had a patient safety officer (PSO). While 82.4% of hospitals used electronic medical records (EMRs), only 53% of these hospitals adopted clinical decision support function. Infrastructure for patient safety except EMRs was well established in training, high-level and large hospitals. Most hospitals implemented prevention practices of adverse drug events, in-facility pressure ulcers and falls (94.4-100.0%). But prevention practices of surgery/procedure related events had relatively low adoption rate (59.2-92.8%). Majority of prevention practices for patient safety events were also implemented with a relatively modest increase in resources allocated. Conclusion: The hospital-based reporting and learning system, EMRs, and core evidence-based prevention practices were implemented well in high-level and large hospitals. But POA indicator and PSO were not adopted in more than half of surveyed hospitals and implementation of prevention practices for specific event had low. To support and monitor progress in hospital's patient safety effort, national-level safety practices set is needed.

• The Journal of Information Systems
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• v.29 no.2
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• pp.27-50
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• 2020

Purpose The research on the effective use of IS needs to embrace the alignment to organization learning process, which expands the limited focus on dynamic capability of IS use. In addition, it should be done in multi-level analysis with system, user, task, and organization. The current study suggests the inclusion of multi-level analysis of effective use of IS in the perspective of exploration and exploitation. Design/methodology/approach This review selected the representative studies in IS discipline which have investigated the effective use of IS, dynamic capability, operational capability, exploration, exploitation, or organizational learning. In the search of academic archives with those keywords, seventeen papers which have been most cited were chosen and validated whether the focus constructs are directly theorized or validated the suggested keywords. In addition, the level of analysis was verified whether it includes one or more levels of system, individual, task, or organization. Based on the initial analysis of dynamic capability, the further review of research on explorational and exploitational capabilities was implemented. Findings The present review study on previous literature on effective use of IS presented that it is largely implemented in the level of individual but few of them has included organization level. Similarly, the direct investigation of explorational and exploitational use of IS has not been done so much. The needs of study on effective use of IS in depth have been inquired for a decade. However, the review presented that it still lacks profound theories and empirical validations compared to those of adoption stage of IS. Based on the review, future research on the transition between explorational and exploitational use of IS is suggested.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.706-722
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• 2014

Government and public institutions have been releasing a number of mobile applications in order to provide diverse public services in the mobile environment. However, due to their one-sided and fragmented service with the lack of adequate care for users, the utilization rate is extremely poor. Therefore, this study, based on a relevant literature review, identified and derived the five key factors (usefulness, convenience, interactivity, information credibility, and social pressure) for users' mobile service adoption. Then, through in-depth interviews with five users and five experts regarding the 'business support app' of one public agency (H institution) that specializes in SMEs, we found that all of these factors are important for users' mobile service adoption. Users' satisfaction could be significantly improved through real-time response to their needs. In addition, providing them with useful and tailored information can lead to mutual trust between public institutions and users. Consequently, as these user-oriented services can increase users' loyalty and boost the utilization rate of the public apps, public institutions should always put persistent efforts to cope with users' demands.

• Journal of Distribution Science
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• v.13 no.1
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• pp.57-70
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• 2015

Purpose - Open source software has high utilization in most of the server market. The utilization of open source software is a global trend. Particularly, Internet infrastructure and platform software open source software development has increased rapidly. Since 2003, the Korean government has published open source software promotion policies and a supply promotion policy. The dynamism of the open source software market, the lack of relevant expertise, and the market transformation due to reasons such as changes in the relevant technology occur slowly in relation to adoption. Therefore, this study proposes an assessment model of services provided in an open source software service company. In this study, the service level of open source software companies is classified into an enterprise-level assessment area, the service level assessment area, and service area. The assessment model is developed from an on-site driven evaluation index and proposed evaluation framework; the evaluation procedures and evaluation methods are used to achieve the research objective, involving an impartial evaluation model implemented after pilot testing and validation. Research Design, data, and methodology - This study adopted an iteration development model to accommodate various requirements, and presented and validated the assessment model to address the situation of the open source software service company. Phase 1 - Theoretical background and literature review Phase 2 - Research on an evaluation index based on the open source software service company Phase 3 - Index improvement through expert validation Phase 4 - Finalizing an evaluation model reflecting additional requirements Based on the open source software adoption case study and latest technology trends, we developed an open source software service concept definition and classification of public service activities for open source software service companies. We also presented open source software service company service level measures by developing a service level factor analysis assessment. The Behavior-Structure-Evolution Evaluation Model (BSEM) proposed in this study consisted of a rating methodology for calculating the level that can be granted through the assessment and evaluation of an enterprise-level data model. An open source software service company's service comprises the service area and service domain, while the technology acceptance model comprises the service area, technical domain, technical sub-domain, and open source software name. Finally, the evaluation index comprises the evaluation group, category, and items. Results - Utilization of an open source software service level evaluation model For the development of an open source software service level evaluation model, common service providers need to standardize the quality of the service, so that surveys and expert workshops performed in open source software service companies can establish the evaluation criteria according to their qualitative differences. Conclusion - Based on this evaluation model's systematic evaluation process and monitoring, an open source software service adoption company can acquire reliable information for open source software adoption. Inducing the growth of open source software service companies will facilitate the development of the open source software industry.