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EARLY DETECTION AND WARNING IN INTERVENTIONAL RADIOLOGY (EDWIN) SYSTEM IMPROVES PATIENT SAFETY AND RADIATION DOSE OPTIMIZATION AT PROFESSOR NGOERAH PUBLIC HOSPITAL, BALI, INDONESIA.
- Source :
- Journal of Medical Imaging & Radiation Sciences; 2023 Supplement, Vol. 54 Issue 3, pS12-S13, 2p
- Publication Year :
- 2023
-
Abstract
- The Indonesian Ministry of Health conducted a health transformation with plans to develop hospitals for services related to heart disease, stroke, cancer, and urology, the four diseases that cause the highest mortality rate in Indonesia. This mission requires Interventional Radiology Modalities involving the use of ionizing radiation. Therefore, the EDWIN system is crucial for improving patient safety and radiation dose optimization, to detect and alert potential radiation dose and use of contrast media (CM) in real-time, allowing for timely adjustments to be made to optimize radiation exposure and CM use to the patient. The system is designed to record patient serum creatinine (SC), weight, height, examination type, into a Google Sheet that contains an application for calculating the maximum CM, reference values for Fluoro Time (FT), Dose Area Product (DAP), and Air Kerma (AK). The maximum CM, FT, DAP, AK are immediately displayed then conveyed to the Interventionist Doctor by the Radiographer during the Time Out procedure prior to the intervention. During the first quarter of 2023, EDWIN successfully recorded 387 patients, with 232 males and 155 females. An evaluation of the data revealed that the usage of CM was down to 68.8%, FT was 88.3%, DAP was 94%, and AK was 96% of the maximum value. These values were named EDWIN values. The EDWIN system provides an early detection, warning, and evaluation to the Radiographer to alert the Interventional Radiologist when the maximum CM has been reached and the radiation dose is approaching. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19398654
- Volume :
- 54
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- Journal of Medical Imaging & Radiation Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 170066123
- Full Text :
- https://doi.org/10.1016/j.jmir.2023.06.045