Arkania, Aulia Salma (2022) Analisis Risiko Berdasarkan Proses ISO 31000:2018 Dengan Metode Healthcare Failure Mode And Effect Analysis (HFMEA) Pada Instalasi Gawat Darurat (IGD) Rumah Sakit X. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Terdapat peraturan mengenai pengelolaan risiko rumah sakit di Indonesia yaitu Peraturan Menteri Kesehatan Republik Indonesia No.66 Tahun 2016 yang mengharuskan rumah sakit memiliki pengelolaan risiko untuk menjamin keselamatan pasien, pegawai, dan lingkungan rumah sakit termasuk Instalasi Gawat Darurat (IGD). IGD adalah suatu bagian penting di Rumah Sakit X karena perannya sebagai pintu masuk pasien darurat sering dijadikan kunci pelayanan dari rumah sakit. Hal tersebut menjadikan IGD Rumah Sakit X membutuhkan pengelolaan risiko komprehensif yang belum dimiliki saat ini untuk mengurangi terjadinya risiko di masa mendatang dan terus meningkatkan mutu pelayanannya. Pada penelitian ini akan dilakukan pengelolaan risiko hingga pembuatan dashboard profil risiko, dimulai dari pengidentifikasian risiko berdasarkan aktivitas proses bisnis IGD dan menggunakan model Software Hardware Environment Liveware (SHELL), evaluasi risiko dengan metode Healthcare Failure Mode and Effect Analysis (HFMEA) untuk penilaian, pemetaan, penentuan prioritas, dan rekomendasi tindakan mitigasi risiko. Berdasarkan hasil penelitian ini, didapatkan 66 risiko yang berasal dari 7 proses dan 28 sub proses. Berdasarkan 66 risiko, akan dilakukan penilaian dengan Healthcare Failure Mode and Analysis dan didapatkan 11 risiko prioritas yang perlu ditangani terlebih dahulu. Terdapat 23 rencana mitigasi yang terdiri dari 15 tipe mitigasi control, 7 tipe mitigasi menghindari, dan 1 tipe mitigasi menerima. Pada penelitian ini, terdapat perancangan dashboard profil risiko dengan Power BI untuk memudahkan pemantauan risiko oleh manajemen rumah sakit di masa yang akan datang.
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There are regulations regarding hospital risk management in Indonesia, namely the Peraturan Menteri Kesehatan Republik Indonesia No.66 Tahun 2016 which requires hospitals to have risk management to ensure the safety of patients, employees, and the hospital environment including the Emergency Room (IGD). The emergency room is an important part of RS X because its role as the entrance for emergency patients is often used as the key to hospital services. This makes the IGD of RS X require comprehensive risk management that is not currently available to reduce the occurrence of risks in the future and improve the quality of its services. In this study, a risk management and risk profile dashboard will be developed, starting by identifying risks based on IGD business process activities and using the Software Hardware Environment Liveware (SHELL) model, risk evaluation using the Healthcare Failure Mode and Effect Analysis (HFMEA) method for assessment, mapping, prioritizing, and recommending risk mitigation actions. Based on the results of this study, obtained 66 risks originating from 7 processes and 28 sub-processes. Based on the 66 risks, an assessment will be carried out using Healthcare Failure Mode and Analysis and 11 priority risks will be obtained that need to be addressed first. There are 23 mitigation plans consisting of 15 types of mitigation control, 7 types of mitigation to avoid, and 1 type of mitigation to accept. In this study, there is a risk profile dashboard design with Power BI to facilitate risk monitoring by hospital management in the future.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Dashboard Profil Risiko, HFMEA, Instalasi Gawat Darurat, ISO 31000:2018, Manajemen Risiko.Emergency Installation, HFMEA, ISO 31000:2018, Risk Management, Risk Profile Dashboard |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 06 Feb 2026 06:57 |
| Last Modified: | 06 Feb 2026 06:57 |
| URI: | http://repository.its.ac.id/id/eprint/132231 |
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