Best Trauma Assessment System for Trauma Patients in Papua, Indonesia

Indonesia's economic growth increases work and transportation accidents. In 2018, Riskesdas reported 10.1% injury prevalence in Papua Province, compared to 9.2% nationally. To reduce trauma-related disability death, an ideal trauma assessment system needs assess severity, predict patient prognosis, improve reaction time decision-making. The combined scoring was established solve the shortcomings of anatomical physiological systems This study aims TRISS ASCOT's mortality prediction accuracy. study's design is observational, retrospective, analytic investigation. Systematic sampling yielded 269 reports. Statistical evaluation utilizing Receiver Operating Characteristics (ROC) Area Under Curve (AUC) diagnostic tests. results indicated that accuracy predicting patients had AUC value 0.90 (strong), p=0.000, 92% sensitivity 76% specificity, with a specificity 76%. for ability 0.93 (very strong), 96% 82% specificity. ASCOT predicts more accurately than TRISS. Abstrak: Perkembangan industri dan perekonomian yang terus meningkat di Indonesia berbanding lurus dengan peningkatan kasus kecelakaan kerja transportasi. melaporkan prevalensi cedera pada tahun 2018 Provinsi cukup tinggi yakni 10,1% dari rerata nasional 9,2%. Sangat penting untuk membangun sistem penilaian ideal, dapat dimanfaatkan mengukur keparahan trauma, memprediksi prognosis pasien, respon pengambilan keputusan agar meminimalisir kecacatan bahkan kematian akibat trauma. Sistem kombinasi merupakan anatomis fisiologis, disusun mengatasi kekurangan kedua sudah ada sebelumnya. Tujuan penelitian ini mengetahui perbandingan efektivitas dalam mortalitas pasien Desain secara observasional analitik pendekatan retrospektif study. Jumlah sampel rekam medis diambil purposive sampling. Analisis statistik uji diagnostik (AUC). Hasil menunjukkan akurasi prediksi memiliki nilai (kuat), sensitivitas spesifisitas Akurasi (sangat kuat), 82%. lebih baik dibandingkan