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Biomedical subjects

Boyoung Kim

Publications and source records attributed to Boyoung Kim.

3 recordsLinked to original sources

Nationwide Survey Using Real-Time PCR in 2024 and 2025 Supports the Absence of Xylella fastidiosa in Korea.

Xylella fastidiosa is a plant-pathogenic bacterium that causes severe diseases in economically important crops, such as citrus and grapevine, thereby posing a significant threat to global agriculture. Although X. fastidiosa has not yet been reported in Korea, the increase in international trade and its presence in neighboring countries highlight the necessity of continued surveillance. The objective of this study was to verify the absence of X. fastidiosa in Korea and to establish a reliable diagnostic framework through a nationwide survey conducted in 2024 and 2025. The sampling design was generated using the RiBESS+ statistical model to ensure the reliability of the survey results. Host plants, including grapevines (Vitis vinifera), mandarin oranges (Citrus unshiu), and cherry blossoms (Prunus yedoensis), were selected and sampled from urban and agricultural areas throughout the country for a nationwide survey. Genomic DNA was extracted from plant petioles and analyzed using real-time PCR with an optimized primer set (XF16S-F/R). Over a period of two years, a total of 2,314 samples were collected, exceeding the required sample size of 843 per year. X. fastidiosa was not detected in any of the collected and tested samples. These results confirm the absence of X. fastidiosa in Korea throughout the study period with high statistical confidence. This study provides evidence confirming the absence of X. fastidiosa in Korea and proposes a standardized methodology for future surveillance and early detection of other invasive prohibited quarantine pests.

X. fastidiosa↗

Realization of real-time clinical data integration using advanced database technology.

As information & communication technologies have advanced, interest in mobile health care systems has grown. In order to obtain information seamlessly from distributed and fragmented clinical data from heterogeneous institutions, we need solutions that integrate data. In this article, we introduce a method for information integration based on real-time message communication using trigger and advanced database technologies. Messages were devised to conform to HL7, a standard for electronic data exchange in healthcare environments. The HL7 based system provides us with an integrated environment in which we are able to manage the complexities of medical data. We developed this message communication interface to generate and parse HL7 messages automatically from the database point of view. We discuss how easily real time data exchange is performed in the clinical information system, given the requirement for minimum loading of the database system.

Clinical Laboratory Information Systems↗

Optimizing query response with XML user profile in mobile clinical systems.

Improvements of modern mobile technology, have created a need for a mobile clinical environment. In the field of mobile clinical systems, getting information on time is as important as mission critical aspects. However, web access time with the mobile device is still not feasible clinically. Therefore, the optimisation of query response becomes an important issue. We have developed a query optimising method using a user profile. We analysed user (clinician) specific queries in the medical field. Most of the data retrieval in the medical field is focused on the clinical test results, and the patient inverted exclamation mark s demographic information. Sometimes the information requested in the medical field places a heavy load on the database, since such information may require full database scanning and much joining of tables in the databases. In such cases, constructing profile data and employing it for data retrieval would help to improve the response time. The use of a predefined profile avoids the multiple joining process, and shortens the total response time. The object of our research is to improve query response by creating user profiles and using this profile information for patient data retrieval.

Hospital Information Systems↗