Krittai Tanasombatkul and Juggapong Nartwichai

Published in Data Science and Engineering (DSE) Record 2022 Vol. 3 No. 1 pp. 49-53



Since antibiotic use in the today's world is exceedingly high, it has finally led in the global development of antibiotic resistance, affecting patient treatment and outcomes. If antibiotic therapy fails, critically ill patients admitted to intensive care units (ICUs) are at a higher risk of significant morbidity and mortality. Despite the hospital's development of the "Antibiotic smart use team" to manage antibiotic consumption to make it more cost-effective and safer, the number of antibiotics used in intensive or critical care unit wards keeps rising. In this independent study, we will focus on developing a reproducible automated process to extract and transform antibiotic prescription data from critical care units into appropriate transactional data, allowing for analysis and visualization and revealing significant insights from antibiotic usage in critical care units, and which will be able to supply as supporting data for the Antibiotic Controller's Board of Directors' quarterly meeting to improve antibiotic safety.