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Widhyari, Kadek Dwi
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Evaluation of the Implementation of Automated Early Warning Scoring System in Improving Patient Safety in Inpatient Ward Kasih Ibu Hospital Denpasar Widhyari, Kadek Dwi; Wahyudi, Bayu; Andikarya, Oke
Journal of Economics and Social Sciences (JESS) Vol. 4 No. 1 (2025): Journal of Economics and Social Sciences (JESS)
Publisher : CV. Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/jess.v4i1.812

Abstract

This study evaluates the implementation of an Automated Early Warning Scoring System (AEWSS) in enhancing patient safety in the inpatient ward of Kasih Ibu General Hospital, Denpasar. Using a qualitative case study approach, data were collected through in-depth interviews, FGDs, observations, and document analysis. Findings indicate that AEWSS effectively enables early detection of patient deterioration via real-time physiological parameter monitoring, accelerates medical response (from an average of 15 minutes to 5 minutes), and prevents Adverse Events. The system also improves medical staff efficiency by reducing nurses’ administrative workload by 30% and supports clinical decision accuracy through objective scoring. Key challenges include unstable network infrastructure (affecting 15% of rooms), specialist physician resistance, and uneven training. The implications highlight the need for infrastructure investment, regular training, and integrated AEWSS-Electronic Medical Records (EMR) protocols to optimize patient safety.
Co-Authors Andikarya, Oke Nurwijayanti