Background: Transfusion appropriateness is extremely important due to the growing concerns about the decrease in the supply of blood products and the increase in demand. Considerable time and effort are required to effectively collect and analyze large volumes of data. Therefore, we aimed to develop a transfusion appropriateness management program using the Tableau visual analytics platform, which allows intuitive visualization through various visualization options and interactive features and can quickly process large volumes of data. Methods: Using the transfusion prescription history and blood management and distribution history, we created a data mart comprising patient information, hospitalization history, inpatient/outpatient prescriptions, test results, records, and surgical information. Based on this we developed visualization analysis content for monitoring transfusion appropriateness.We automated the periodic aggregation of the data mart into an analysis database and connected it to Tableau. Results: We developed Transfusion Appropriateness Management (TAM), a program for managing transfusion appropriateness linked to Tableau, after analyzing transfusion-related data and metadata extracted from the Daejeon Eulji Medical Center's order communication system/electronic medical record (OCS/EMR) system. Detailed filters were applied to allow users to intuitively view the desired data according to their criteria. Data were visualized in various forms, such as bar graphs, heat maps, and box plots based on filtering criteria. Conclusion The development of the Transfusion Appropriateness Management program at the Daejeon Eulji Medical Center is expected to effectively reduce inappropriate transfusions in clinical settings and enhance patient safety within the hospital by swiftly and conveniently visualizing vast amounts of data.

Background: Transfusion appropriateness is extremely important due to the growing concerns about the decrease in the supply of blood products and the increase in demand. Considerable time and effort are required to effectively collect and analyze large volumes of data. Therefore, we aimed to develop a transfusion appropriateness management program using the Tableau visual analytics platform, which allows intuitive visualization through various visualization options and interactive features and can quickly process large volumes of data. Methods: Using the transfusion prescription history and blood management and distribution history, we created a data mart comprising patient information, hospitalization history, inpatient/outpatient prescriptions, test results, records, and surgical information. Based on this we developed visualization analysis content for monitoring transfusion appropriateness.We automated the periodic aggregation of the data mart into an analysis database and connected it to Tableau. Results: We developed Transfusion Appropriateness Management (TAM), a program for managing transfusion appropriateness linked to Tableau, after analyzing transfusion-related data and metadata extracted from the Daejeon Eulji Medical Center's order communication system/electronic medical record (OCS/EMR) system. Detailed filters were applied to allow users to intuitively view the desired data according to their criteria. Data were visualized in various forms, such as bar graphs, heat maps, and box plots based on filtering criteria. Conclusion The development of the Transfusion Appropriateness Management program at the Daejeon Eulji Medical Center is expected to effectively reduce inappropriate transfusions in clinical settings and enhance patient safety within the hospital by swiftly and conveniently visualizing vast amounts of data.

Background: Transfusion appropriateness is extremely important due to the growing concerns about the decrease in the supply of blood products and the increase in demand. Considerable time and effort are required to effectively collect and analyze large volumes of data. Therefore, we aimed to develop a transfusion appropriateness management program using the Tableau visual analytics platform, which allows intuitive visualization through various visualization options and interactive features and can quickly process large volumes of data. Methods: Using the transfusion prescription history and blood management and distribution history, we created a data mart comprising patient information, hospitalization history, inpatient/outpatient prescriptions, test results, records, and surgical information. Based on this we developed visualization analysis content for monitoring transfusion appropriateness.We automated the periodic aggregation of the data mart into an analysis database and connected it to Tableau. Results: We developed Transfusion Appropriateness Management (TAM), a program for managing transfusion appropriateness linked to Tableau, after analyzing transfusion-related data and metadata extracted from the Daejeon Eulji Medical Center's order communication system/electronic medical record (OCS/EMR) system. Detailed filters were applied to allow users to intuitively view the desired data according to their criteria. Data were visualized in various forms, such as bar graphs, heat maps, and box plots based on filtering criteria. Conclusion The development of the Transfusion Appropriateness Management program at the Daejeon Eulji Medical Center is expected to effectively reduce inappropriate transfusions in clinical settings and enhance patient safety within the hospital by swiftly and conveniently visualizing vast amounts of data.

Background: Transfusion appropriateness is extremely important due to the growing concerns about the decrease in the supply of blood products and the increase in demand. Considerable time and effort are required to effectively collect and analyze large volumes of data. Therefore, we aimed to develop a transfusion appropriateness management program using the Tableau visual analytics platform, which allows intuitive visualization through various visualization options and interactive features and can quickly process large volumes of data. Methods: Using the transfusion prescription history and blood management and distribution history, we created a data mart comprising patient information, hospitalization history, inpatient/outpatient prescriptions, test results, records, and surgical information. Based on this we developed visualization analysis content for monitoring transfusion appropriateness.We automated the periodic aggregation of the data mart into an analysis database and connected it to Tableau. Results: We developed Transfusion Appropriateness Management (TAM), a program for managing transfusion appropriateness linked to Tableau, after analyzing transfusion-related data and metadata extracted from the Daejeon Eulji Medical Center's order communication system/electronic medical record (OCS/EMR) system. Detailed filters were applied to allow users to intuitively view the desired data according to their criteria. Data were visualized in various forms, such as bar graphs, heat maps, and box plots based on filtering criteria. Conclusion The development of the Transfusion Appropriateness Management program at the Daejeon Eulji Medical Center is expected to effectively reduce inappropriate transfusions in clinical settings and enhance patient safety within the hospital by swiftly and conveniently visualizing vast amounts of data.

Bamboo salt (BS) is a traditional Korean food, and has been reported to have anti-cancer, anti-inflammatory, and anti-metastatic effects. However, the anti-atopic dermatitis (AD) activity of BS has not been described yet. In the present study, we examined the preventive effect of BS on AD. The effect of oral administration of BS was tested in a 2, 4-dinitrofluorobenzene (DNFB)-induced AD animal model, by histological analysis, enzyme-linked immunosorbent assay, reverse transcription-polymerase chain reaction, caspase-1 assay, and Western blotting analysis. BS administration reduced the total clinical severity and scratching frequencies, compared with the AD group. In the serum of DNFB-induced AD mice, the levels of IgE, histamine, thymic stromal lymphopoietin (TSLP), interleukin (IL)-5, and IL-13 were significantly reduced by BS treatment. BS significantly reduced the protein and mRNA expression of TSLP, IL-6, and tumor necrosis factor-α in the AD skin lesions. BS markedly reduced the infiltration of inflammatory cells. Furthermore, the activation of caspase-1 was reduced by BS in the AD skin lesions. Our results suggested that BS should be considered as a candidate treatment for allergic inflammatory diseases including AD.
Animals ; Caspase 1 ; genetics ; immunology ; Dermatitis, Atopic ; chemically induced ; drug therapy ; genetics ; immunology ; Dinitrofluorobenzene ; adverse effects ; Disease Models, Animal ; Female ; Histamine ; immunology ; Humans ; Immunoglobulin E ; immunology ; Interleukin-13 ; genetics ; immunology ; Interleukin-5 ; genetics ; immunology ; Mice ; Mice, Inbred BALB C ; Sodium Chloride, Dietary ; administration & dosage