Publications by authors named "InSook Cho"

This study examined the factors associated with medical expenses among LTCI (long-term care insurance) recipients in Korea. Secondary data analysis was performed using the 2019 Korea National Health Insurance (KNHI) reimbursement data of I metropolitan city. Data from 52 434 older adults who were LTCI recipients and living in I metropolitan city areas were included.

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  • This study introduces a deep learning model designed to predict phlebitis in patients with peripheral intravenous catheters (PIVC).
  • It utilized electronic health record data from over 27,000 hospital admissions and 70,000 PIVC events, incorporating various patient and treatment-related factors.
  • The model outperformed traditional machine learning approaches, achieving an accuracy of 93% and an AUC of 89%, indicating its potential for improving early detection and patient care in healthcare settings.
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Objectives: Education in biomedical and health informatics is essential for managing complex healthcare systems, bridging the gap between healthcare and information technology, and adapting to the digital requirements of the healthcare industry. This review presents the current status of biomedical and health informatics education domestically and internationally and proposes recommendations for future development.

Methods: We analyzed evidence from reports and papers to explore global trends and international and domestic examples of education.

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Citrus cultivation plays a pivotal role, making a significant contribution to global fruit production and dietary consumption. Accurate identification of viral pathogens is imperative for the effective management of plant viral disease in citrus crops. High-throughput sequencing serves as an alternative approach, enabling comprehensive pathogen identification on a large scale without requiring pre-existing information.

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orchids are one of the most popular ornamental plants. More than thirty orchid viruses have been reported, and virus-infected orchids significantly lose their commercial value. Therefore, the development of improved viral disease detection methods could be useful for quality control in orchid cultivation.

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  • The study focused on how language differences between Korean and English impact natural language processing (NLP) techniques.
  • It specifically looked at the challenge of classifying inpatient falls based on unstructured nursing notes.
  • The research aimed to understand if these language variations affect the accuracy and effectiveness of NLP in this health-related context.
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Inpatient falls are frequent adverse events, with various injuries occurring in one-third of falls. International practice guidelines recommend multifaceted risk assessment and risk-targeted interventions through multifactorial activities. However, the effectiveness is mixed for such recommendations implemented using traditional approaches.

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Citrus tristeza virus (CTV) is a highly destructive viral pathogen posing a significant threat to citrus crops worldwide. Disease management and crop protection strategies necessitate the development of rapid and accurate detection methods. In this study, we employed Oxford Nanopore sequencing to detect CTV in samples.

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Objectives: Standardized nursing terminologies (SNTs) are necessary to ensure consistent knowledge expression and compare the effectiveness of nursing practice across settings. This study investigated whether SNTs can support semantic interoperability and outcoming tracking over time by implementing an AI-powered CDS tool for fall prevention across multiple EMR systems.

Materials And Methods: The study involved 3 tertiary academic hospitals and 1 public hospital with different EMR systems and nursing terms, and employed an AI-powered CDS tool that determines the fall risk within the next hour (prediction model) and recommends tailored care plans (CDS functions; represented by SNTs).

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  • * Out of nine symptomatic plants tested, eight were found to be positive for Zantedeschia mildews (ZaMV and ZaMMV), but one plant exhibited unique symptoms and did not yield detectable PCR results for these viruses.
  • * To identify the virus causing the unusual symptoms, high-throughput sequencing of RNA from the symptomatic plant revealed the presence of a new isolate of Daisy mottle virus (DsMV), sharing significant genetic similarity with other DsMV isolates from different countries.
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  • Global climate change and international trade are increasing the risk of introducing new plant viruses across borders, as seen in the case of Ixora coccinea showing virus-like symptoms.
  • The Oxford Nanopore Technologies MinION platform was used to identify jasmine virus H (JaVH), revealing a complete genome sequence that closely resembles a variant found in Jasminum sambac from China.
  • This study marks the first reported natural infection of Ixora coccinea by JaVH and highlights the effectiveness of rapid nanopore sequencing for accurate plant virus detection and surveillance.
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  • Peripheral venous catheterization (PVC) is vital for patient safety but often leads to complications like phlebitis, which can increase hospital costs and lengths of stay.
  • A study analyzed 259 reported cases of phlebitis from a Korean patient safety system between July 2017 and December 2019, revealing that antibiotics and high-osmolarity fluids were the most commonly used inflammatory drugs, with most cases linked to blood-flow infections.
  • The findings highlighted a lack of adherence to evidence-based guidelines for managing phlebitis, emphasizing the need for better education and interventions for nurses, as well as improved feedback from incident report analyses.
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Objectives: To assess whether a fall-prevention clinical decision support (CDS) approach using electronic analytics that stimulates risk-targeted interventions is associated with reduced rates of falls and injurious falls.

Materials And Methods: The CDS intervention included a machine-learning prediction algorithm, individual risk-factor identification, and guideline-based prevention recommendations. After a 5-month plan-do-study-act quality improvement initiative, the CDS intervention was implemented at an academic tertiary hospital and compared with the usual care using a pretest (lasting 24 months and involving 23 498 patients) and posttest (lasting 13 months and involving 17 341 patients) design in six nursing units.

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Background: Falls are one of the major adverse events affecting older adults that can result in serious injuries. Hospitalizations and deaths because of fall-related injuries have been increasing. Nevertheless, there is a dearth of studies examining the physical condition and current exercise habits of older adults.

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Background And Objectives: A government-driven standardization of nursing terminology including the Clinical Care Classification (CCC) was endorsed in South Korea in 2015, but the number of hospitals who have adopted this standard terminology remains unknown. This study aimed to determine the CCC awareness, adoption, and utilization statuses and its association with patient experience in South Korea.

Design, Setting, And Participants: A nationwide telephone survey was conducted from January 13 to February 12, 2022 among 217 tertiary and secondary hospitals participating in the health information exchange network.

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Pepper mild mottle virus (PMMoV), one of the most prevalent viruses in chili pepper (Capsicum annuum L.) is a non-enveloped, rod-shaped, single-stranded positive-sense RNA virus classified in the genus Tobamovirus. The supernatants of five bacterial cultures (Pseudomonas putida [PP], Bacillus licheniformis [BLI], P.

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Objectives: Academic electronic medical records (AEMRs) can be utilized for a variety of educational programs that can enhance nursing students' nursing informatics and clinical reasoning competencies. This study aimed to identify the applicability and effectiveness of simulation education incorporating AEMRs.

Methods: We developed simulation education scenarios incorporating AEMRs and evaluated them with 76 third- and fourth-year nursing students from five nursing schools using a mixed-methods design.

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  • This study aimed to assess nursing informatics education in South Korea and create a standardized curriculum for it.
  • Researchers used online surveys and expert evaluations to identify the current status and demand for nursing informatics topics in education.
  • The proposed curriculum includes key areas such as electronic medical records, health management technologies, and ethics in medical information use, highlighting the need for ongoing training for nursing informatics educators.
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Lilies (Lilium spp.) are one of the most important ornamental flower crops grown in Korea. Most viral diseases in lilies are transmitted by infected bulbs, which cause serious economic losses due to reduced yields.

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Background: A clinical decision support system (CDSS) is recognized as a technology that enhances clinical efficacy and safety. However, its full potential has not been realized, mainly due to clinical data standards and noninteroperable platforms.

Objective: In this paper, we introduce the common data model-based intelligent algorithm network environment (CANE) platform that supports the implementation and deployment of a CDSS.

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  • Perilla is a traditional herb in Korea with distinct flavor and aroma, now also grown in various Asian and European countries for culinary and medicinal purposes.
  • This study focused on two newly identified isolates of turnip mosaic virus (TuMV) that affect perilla in Korea, detailing their complete genome sequences and their impact on host plants like Nicotiana benthamiana and various brassicas.
  • Researchers performed phylogenetic analysis and recombination studies on several Korean TuMV isolates, shedding light on their evolutionary relationships and how they differ from other known virus groups.
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In this work, two new turnip mosaic virus (TuMV) strains (Canola-12 and Canola-14) overcoming resistance in canola (Brassica napus) were isolated from a B. napus sample that showed typical TuMV-like symptoms and was collected in the city of Gimcheon, South Korea, in 2020. The complete genome sequence was determined and an infectious clone was made for each isolate.

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Three infectious clones of radish mosaic virus (RaMV) were generated from isolates collected in mainland Korea (RaMV-Gg) and Jeju Island (RaMV-Aa and RaMV-Bb). These isolates differed in sequences and pathogenicity. Examination of the wild-type isolates and reassortants between the genomic RNA1 and RNA2 of these three isolates revealed that severe symptoms were associated with RNA1 of isolates Aa or Gg causing systemic necrosis in , or with RNA1 of isolate Bb for induction of veinal necrosis and severe mosaic symptoms in radish.

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Apple scar skin viroid (ASSVd), of the genus Apscaviroid, causes serious pome fruit diseases, such as apple scar skin, dapple apple, pear rusty skin, pear fruit crinkle, and pear dimple fruit. This study aimed at establishing a sensitive and accurate method for quantification of ASSVd in apple leaves and plantlets using a reverse transcription droplet digital polymerase chain reaction (RT-ddPCR) assay. The specificity was analyzed using other apple viruses, and the negative amplification of the cross-reaction assay demonstrated the high specificity of RT-ddPCR.

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