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All Journal International Journal of Public Health Science (IJPHS) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Jurnal Kesehatan Vokasional Jurnal Kesehatan Komunitas Window of Health : Jurnal Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan PELS (Procedia of Engineering and Life Science) International Journal of Health Science and Technology JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit)
Savitri Citra Budi
Departemen Layanan Dan Informasi Kesehatan Sekolah Vokasi UGM
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health

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Efektifitas Implementasi Clinical Pathway Terhadap Average Length Of Stay dan Outcomes Pasien DF-DHF Anak di RSUD Kota Yogyakarta Fadilah, Neri Faradina Nur; Budi, Savitri Citra
Jurnal Kesehatan Vokasional Vol 2, No 2 (2017): November
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.30333

Abstract

Latar belakang: Clinical pathway digunakan sebagai kendali mutu dan biaya dalam pelayanan kesehatan. Mutu pelayanan salah satunya dapat dilihat dari average length of stay dan outcomes. Implementasi clinical pathway yang sudah diterapkan perlu diukur efektifitasnya dalam menurunkan rata-rata lama dirawat dan menghasilkan outcomes yang lebih baik. Kasus DF dan DHF masuk dalam daftar 10 besar penyakit rawat inap di RSUD Kota Yogyakarta.Tujuan: Mengukur perbedaan average length of stay dan outcomes pasien DF-DHF anak antara sebelum dan setelah implementasi clinical pathway di RSUD Kota Yogyakarta.Metode: Jenis penelitian ini adalah penelitian kuantitatif dengan metode survey analitik dan rancangan cross sectional. Pengumpulan data dilakukan dengan studi dokumentasi pada 146 berkas rekam medis dan formulir clinical pathway.Hasil: Persentase outcomes tertinggi pada pasien DF yaitu pada kategori membaik 71,4% sebelum CP dan 80,9% setelah CP. Persentase outcomes tertinggi pada pasien DHF yaitu pada kategori membaik 83,9% sebelum CP dan 90,3% setelah CP. Average length of stay setelah CP lebih kecil dibandingkan sebelum CP pada pasien DF-DHF anak, dengan p-value DF anak = 0,016 < α = 0,05 dan p-value DHF anak = 0,021 < α = 0,05. Tidak ada perbedaan outcomes pasien DF-DHF anak antara sebelum dan setelah implementasi clinical pathway, dengan p_value DF anak = 0,775 > α = 0,05 dan p-value DHF anak = 1 > α = 0,05.Kesimpulan: Implementasi clinical pathway dapat menurunkan average length of stay, namun belum mampu membuktikan adanya perbedaan pada outcomes pasien.
Role of Artificial Intelligence in the Risk Management at Construction Field: A Bibliometric Review Septiani, Anggita Puspita; Budi, Savitri Citra; Prihaswan, Irawadi
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.108171

Abstract

Background: The construction industry had high risks that required effective risk management to ensure safety and business sustainability. Artificial intelligence (AI) had the potential to improve analysis and decision-making in risk management. However, the trend of AI implementation in this field had not been extensively studied through bibliometric analysis.Objective: This study identified trends in scientific literature regarding the role of AI in risk management in the construction sector.Methods: This study used a quantitative bibliometric approach. Data from 76 articles in the Scopus database for the period 2014–2024 were analyzed statistically, and keyword co-occurrence was mapped using VOSviewer.Results: Publications showed a significant increase since 2015, especially after 2018. This reflected the increasing adoption of AI in risk analysis and incident prevention. Data analysis confirmed that AI proved helpful in managing risks in construction and project management.Conclusion: AI played a crucial role in improving construction risk management and was developing rapidly. This technology had great potential to reduce accidents and support sustainable practices. These findings provided insights for researchers and practitioners to optimize the utilization of AI in the construction industry.
Co-Authors Agsari, Ardisa Lintang Ana Amirotun Solihah Annisa Maulida Ningtyas Antika, Tabita Arif Susanto Asri, Dinda Isnaini Aulia, Farida Zulfi Azizah, Delia Nur Caecilia Kayla Selomitha Sigit Dani, Ika Aria Divi Galih Prasetyo Putri Elisa Wahyuningsih Fadilah, Neri Faradina Nur Fatwa Sari Tetra Hariyono Hariyono Hasna' Shofiyyah Hayati, Afriliya Hidayah, Nurulia Iffah Khoirul Janah Indira Yeni Lilik Dwi Setyana Lutfan Lazuardi Nadia Dwi Cahyati Natalia, Dewi Neri Faradina Nur Fadilah Nindyakinanti, Rahmah Nur Rokhman Nurhidayah, Novi Nuryati Nuryati Palimirmaningtyas, Titah Winengku Prihaswan, Irawadi Putri, Dhea Edvy Permata Rahmah Nindyakinanti rosyada, dina fitriana Saputro, Agung Dwi Septiani, Anggita Puspita Sri Purwatiningsih Sunartini Sunartini Yeni, Indira Yuliana Yuliana Yuni Suryaningsih