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All Journal International Journal of Public Health Science (IJPHS) Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo
Purbasari, Utami
Unknown Affiliation
Health Professions Medicine & Pharmacology Public Health

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Efisiensi Dalam Instalasi Radiologi RS X: Studi Kasus dengan Data Envelopment Analysis Eureka, Agnes Nina; Soewondo, Prastuti; Purbasari, Utami; Hidayati, Ira Rahma; Audita, Fatira Ratri
Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Vol 10, No 1 (2024): JMK Yayasan RS.Dr.Soetomo, Pertama 2024
Publisher : STIKES Yayasan RS.Dr.Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29241/jmk.v10i1.1904

Abstract

Sejak ditemukannya sinar-X pada tahun 1895, pelayanan radiologi terus berkembang dengan munculnya radiografi digital pada tahun 1979. Penelitian ini mengevaluasi efektivitas penggunaan radiologi digital dan PACS untuk meningkatkan aksesibilitas, mengurangi biaya, dan meningkatkan kualitas perawatan pasien di Rumah Sakit X. Penelitian ini menggunakan data envelope analysis (DEA) untuk mengukur efisiensi pelayanan radiologi berbasis film dan layanan radiologi berbasis digital yang dilakukan di suatu rumah sakit, serta mengevaluasi kondisi aktual fasilitas radiologi di RS X (radiologi berbasis film) dan hipotetikal (radiologi berbasis digital). Nilai efisiensi digunakan untuk menentukan efisiensi. Studi DEA terhadap layanan radiologi di Rumah Sakit X membandingkan efisiensi radiologi berbasis film (DMU 1) dan radiologi digital (DMU 2). Dengan asumsi output layanan sama, model berbasis digital mengasumsikan perubahan input. Analisis menggunakan model CCR-DEA menunjukkan bahwa radiologi berbasis digital memiliki efisiensi paling tinggi (skor 1,0), sedangkan radiologi berbasis film memiliki nilai efisiensi sebesar 10,1%. Meskipun DMU 1 memiliki peringkat efisiensi yang rendah, analisis menunjukkan adanya potensi perbaikan dan DMU 2 dinilai efisien secara optimal. Berdasarkan penelitian tersebut, DEA dapat digunakan untuk meningkatkan efisiensi pelayanan radiologi  dengan  teknologi tersebut
Optimizing chest X-rays as a leading diagnostic modality for handling COVID-19: a diagnostic study Purbasari, Utami; Prihartono, Nurhayati Adnan; Helda, Helda; Antariksa, Budhi; Audita, Fatira R.
International Journal of Public Health Science (IJPHS) Vol 14, No 2: June 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v14i2.24653

Abstract

Recent studies have highlighted that chest CT scans are crucial for accurately diagnosing COVID-19. However, in rural areas of Indonesia, people may have difficulty assessing CT scans, leading to increased undetected cases. To address this issue, we investigated whether chest X-rays (CXR) could replace CT scans in diagnosing COVID-19 patients. A diagnostic cross-sectional-based study was conducted at Fatmawati General Hospital from January to September 2021. The study included suspected COVID-19 patients in isolation wards and ICU who were over 18, with or without comorbidities, and had complete clinical data and laboratory tests. We analyzed imaging data through reverse transcription-polymerase chain reaction (RT-PCR) tests, CXR, and chest CT scans. This study enrolled 150 eligible patients. With RT-PCR as the gold standard, we found that CXR had a sensitivity of 86.6% (95% CI: 78.9-92.3%) and chest CT scan had a sensitivity of 91.1% (95% CI: 84.2-95.6%). Similar performance was observed when detecting ground glass opacities (GGO), bilateral laterobasal, and influenza-like syndrome and dyspnea (ILI) between CXR and CT scans. Receiver operating characteristic (ROC) curves demonstrated that CXR is comparable to CT scan, especially in ground glass opacity (GGO) and consolidation (AUC=0.72; 95% CI: 0.61-0.83 and AUC=0.710; 95% CI: 0.64-0.78). The proposed CXR method can be a reliable primary imaging tool for diagnosing COVID-19 by considering ILI. However, chest CT scans remain the most effective diagnostic method for COVID-19. These findings may be useful for the utilization of CXR for diagnosing COVID-19 in areas with limited access to CT scans.
Co-Authors Audita, Fatira R. Audita, Fatira Ratri Budhi Antariksa Eureka, Agnes Nina Helda Helda Hidayati, Ira Rahma Prastuti Soewondo Prihartono, Nurhayati Adnan