Implementation of the Setia (Pharmacist E-Telepharmacy System) Application Based on Artificial Intelligence for Monitoring Drug Therapy in Hospitals

Drug interactions, dosage regimen accuracy, and assessment of clinical parameters such as ideal body weight, nutritional status, and renal function are important aspects in the safe and rational use of drugs. SETIA application was developed as a clinical decision support system to assist healthcare professionals in evidence-based clinical decision-making. This study aimed to evaluate the suitability of drug interaction recommendations, interaction mechanisms, dosage regimens, and clinical parameters between the SETIA application and international reference literature. An observational analytical study with a cross-sectional design was conducted at Fatmawati General Hospital, Jakarta, using medical records of hospitalized patients. The analysis included identification of the severity of drug interactions, interaction mechanisms, dosage regimen recommendations based on renal function, and calculation of ideal body weight, nutritional status, and glomerular filtration rate (GFR). The results of the SETIA application were compared with reference literature (Lexicomp, Medscape, Micromedex, Drug.com, The Renal Drug Handbook, NHLBI, ClinCalc LLC, and Clinical Creatinine Clearance). The level of agreement between the SETIA application and the literature was 53.3%, with the highest agreement in the moderate-moderate category (33.3%). All data met the assumptions of homogeneity and normality (). The SETIA application showed good agreement with the reference literature in identifying drug interactions, interaction mechanisms, dosage recommendations, and calculating clinical parameters. These findings support the hypothesis that the SETIA application has the potential to be used as a clinical decision support system to support safe, rational, and evidence-based drug use, especially in hospitalized patients.