Purpose Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rising morbidity amongst hospitalized patients. Significant uncertainty remains regarding its exact diagnostic tool. Whilst algorithms for management of index cases have been well established, examination of its potential preventability by utilizing novel “avoidability” tools have remained unexplored.Methods This prospective study is comprised of patients who presented to emergency department of Weill Cornell Medicine-affiliated Hamad General Hospital, Doha Qatar with suspected DRESS syndrome. These cases were comparatively adjudicated and ascertained independently using RegiSCAR, and JSCAR tools by two clinical pharmacists and two General Physicians. They were subsequently rated for potential avoidability utilizing the Liverpool adverse drug reactions avoidability tool (LAAT) by the same team of raters.Results A total of 16 patients satisfy RegiSCAR criteria for DRESS syndrome. The mean age of the study population was 41.5 (SD ± 13.3) years, with a disproportionately male phenotype (n = 12; [75%]). The median latent period from drug ingestion to clinical presentation was 14 days (IQR 6.5, 29). The median RegiSCAR and J-SCAR scores were 6 (IQR 5, 6.8), 5 (IQR 4, 5.8) respectively. Utilizing the LAAT tool, about 60% of the DRESS syndrome-drug pairs were rated as “avoidable” (“probable” or “definite”). The overall Krippendorf’s alpha with the LAAT was 0.81 (SE 0.10, CI 0.59–1.00); with an intraclass correlation coefficient (ICC) of 0.90 (CI 0.77, 0.96.).Conclusion In a randomly selected cohort of DRESS syndrome-drug pairs, the LAAT tool showed a significant proportion that were potentially avoidable (“possibly” and “definitely”). This will need validation by large sample sized prospective studies utilizing the updated LAAT tool proposed by this study.