Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Purpose: This study aimed to identify the risk factors for peripheral intravenous catheter-related phlebitis in hospitalized neurosurgery patients. Methods: This study involved 443 neurosurgery patients who were admitted to a general hospital in Seoul. The analysis included 982 intravenous lines. Data were retrospectively extracted from electronic medical records for the period between November 1, 2022, and May 31, 2023. Data were analyzed using descriptive statistics, independent t-test, x 2 test, and logistic regression. Results: The incidence rate of phlebitis was 13.6%, with the majority of cases classified as grade 2. Gender, present diseases, length of hospital stay, needle gauge size, and cardiovascular drugs were identified as risk factors for phlebitis in neurosurgery patients. Conclusion This study is significant as it provides basic data for the prevention and management of peripheral phlebitis in hospitalized neurosurgery patients. The risk factors identified in this study should be incorporated into nursing education to implement a systematic peripheral intravenous management program, and appropriate peripheral intravenous catheter-related nursing interventions are necessary based on the characteristics of each patient.

South Korea’s current vaccination policies leave a surveillance gap for non-National Immunization Program (NIP) vaccines. In this study, we proposed a sentinel surveillance approach for monitoring the safety of non-NIP vaccines. Vaccination data were collected retrospectively among patients hospitalized with pre-defined adverse events of special interest (AESI) by reviewing electronic medical records in five university hospitals. This approach incorporates expert assessment to determine the causal relationship. We confirmed that 16 patients had received non-NIP vaccines among 860 patients diagnosed with AESI.We concluded one case of preeclampsia was possibly related to tetanus-diphtheria-pertussis vaccination. We propose a multi-hospital-based, retrospective assessment system for predefined AESIs as an alternative to active vaccine safety monitoring method. These efforts are expected to enhance both the accuracy and timeliness of safety monitoring in South Korea.

Background: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS) system, the MaxBenefit LAS, to maximize transplant benefits. Methods: This study retrospectively analyzed data from the Korean Network for Organ Sharing database, including 1,599 lung transplant candidates between September 2009 and December 2020. We developed the MaxBenefit LAS, combining a waitlist mortality model and a post-transplant survival model using elastic-net Cox regression, was assessed using area under the curve (AUC) values and Uno’s C-index. Its performance was compared to the US LAS in an independent cohort. Results: The waitlist mortality model showed strong predictive performance with AUC values of 0.834 and 0.818 in the training and validation cohorts, respectively. The post-transplant survival model also demonstrated good predictive ability (AUC: 0.708 and 0.685). The MaxBenefit LAS effectively stratified patients by risk, with higher scores correlating with increased waitlist mortality and decreased post-transplant mortality. The MaxBenefit LAS outperformed the conventional LAS in predicting waitlist death and identifying candidates with higher transplant benefits. Conclusion The MaxBenefit LAS offers a promising approach to optimizing lung allocation by balancing the urgency of candidates with their likelihood of survival post-transplant. This novel system has the potential to improve outcomes for lung transplant recipients and reduce waitlist mortality, providing a more equitable allocation of donor lungs.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Managing giant partially thrombosed intracranial aneurysms presents significant challenges due to their unfavorable natural history and the lack of standardized treatment approaches. Conventional treatments, whether open surgical or endovascular, often struggle to manage these aneurysms effectively, resulting in high recurrence rates or significant morbidity. The patient was a 62-year-old male with a symptomatic giant partially thrombosed aneurysm at the tip of the basilar artery, presenting with left-sided hemiparesis and dysarthria. Diagnostic imaging revealed a giant aneurysm with a wide-necked, canalized portion. A two-stage endovascular treatment was conducted, involving a balloon occlusion test and intraoperative monitoring for maximum patient safety. The treatment utilized stent-assisted Woven EndoBridge (WEB) embolization and serial bilateral vertebral artery trapping. The procedure successfully isolated the aneurysm and postoperative imaging confirmed the absence of recanalization, preserving the intact posterior circulation. The patient showed stable recovery and no neurological deficits during the 12-month follow-up period. This technical note demonstrates the feasibility and efficacy of strategically integrating intrasaccular flow diversion using a WEB device and flow reversal through bilateral vertebral artery trapping for treating giant partially thrombosed aneurysms.

Purpose: This study aimed to identify the risk factors for peripheral intravenous catheter-related phlebitis in hospitalized neurosurgery patients. Methods: This study involved 443 neurosurgery patients who were admitted to a general hospital in Seoul. The analysis included 982 intravenous lines. Data were retrospectively extracted from electronic medical records for the period between November 1, 2022, and May 31, 2023. Data were analyzed using descriptive statistics, independent t-test, x 2 test, and logistic regression. Results: The incidence rate of phlebitis was 13.6%, with the majority of cases classified as grade 2. Gender, present diseases, length of hospital stay, needle gauge size, and cardiovascular drugs were identified as risk factors for phlebitis in neurosurgery patients. Conclusion This study is significant as it provides basic data for the prevention and management of peripheral phlebitis in hospitalized neurosurgery patients. The risk factors identified in this study should be incorporated into nursing education to implement a systematic peripheral intravenous management program, and appropriate peripheral intravenous catheter-related nursing interventions are necessary based on the characteristics of each patient.