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p-Index From 2021 - 2026
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All Journal Karya Kesehatan Siwalima Malahayati International Journal of Nursing and Health Science
Ambo Anto
Universitas Famika
Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Management of a Community Nursing–Based Healthy Workplace Program for Enhancing the Productivity and Well-Being of Elderly Workers Cicci Chairunisa Mas’um; Rismanudin; Sri Ayu Nuramalia Kaharuddin; Ambo Anto; Geovanny Serviam Permana Putri Rahamitu; Andi Yani Indra Dewi; Andi Haryati Hasrib
Karya Kesehatan Siwalima Vol. 5 No. 1 (2026): March-August
Publisher : Lembaga Penerbitan Fakultas Kesehatan, Universitas Kristen Indonesia Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54639/kks.v5i1.1957

Abstract

The increasing participation of older adults in the workforce has emphasized the need for workplace health programs that support productivity and well-being. Elderly workers often experience age-related challenges, including chronic diseases, fatigue, and psychosocial problems that may affect their work performance and quality of life. This study aimed to develop and evaluate a community nursing-based Healthy Workplace program for elderly workers in South Sulawesi, Indonesia. A Research and Development (R&D) approach was applied through needs assessment, program design, validation, implementation, and evaluation stages. Data were collected using interviews, observations, questionnaires, focus group discussions, and document reviews. The program included occupational health education, ergonomic counseling, psychosocial support, physical activity promotion, and regular health monitoring. The findings showed improvements in occupational health knowledge, workplace safety practices, productivity, and physical and psychological well-being among participants. Collaboration among community nurses, employers, workers, and local health services also strengthened program sustainability. The Healthy Workplace program offers a practical strategy to promote healthy aging and improve the quality of life of elderly workers.
AI mindset transformation needs assessment for early warning system integration among emergency nurses Ambo Anto; Faisal Faisal; Suparman Suparman; Asih Luklu Susiati; Natasya Natasya
MIN Vol. 9 No. 7 (2026): Volume 9 Number 7
Publisher : Program Studi Ilmu Keperawatan-fakultas Ilmu Kesehatan Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/min.v9i7.4327

Abstract

Background: The increasing complexity of emergency care and the persistent challenges in early hypovolemic shock detection highlight the need for innovative approaches to support clinical decision-making. The integration of artificial intelligence (AI) and Early Warning Systems (EWS) requires not only technological readiness but also transformation in nurses’ mindset, knowledge, and clinical culture. Purpose: To assess emergency nurses’ needs for AI mindset transformation through EWS integration and explore the role of scientific clinical culture in supporting future AI implementation in emergency nursing practice. Method: An exploratory mixed-methods design with a convergent approach involving 164 emergency nurses from hospital emergency departments. Quantitative data were collected using a structured questionnaire assessing perceptions of AI, EWS utilization, scientific clinical culture, and professional development needs. Qualitative data were obtained through open-ended questions. Quantitative data were analyzed using descriptive statistics, while qualitative data were analyzed using thematic analysis. The findings from both approaches were integrated to provide a comprehensive interpretation. Results: The findings indicated substantial needs for AI mindset transformation among emergency nurses was categorized as high. The highest priority needs included strengthening collaboration among nurses, researchers, and hospital management; improving EWS training; increasing nurse participation in innovation development; and implementing practice-based learning. Participants demonstrated positive attitudes toward AI and acknowledged its potential to support clinical decision-making and emergency response. However, gaps remained in AI literacy, practical experience, and decision-support competencies. Qualitative findings revealed challenges in early hypovolemic shock detection, the need for continuous competency development, and the importance of collaborative innovation. The integrated findings identified scientific clinical culture, EWS integration, professional development, and stakeholder collaboration as essential components for AI readiness among emergency nurses. Conclusion: This study provides empirical evidence for the development of a Living Lab-based AI-enhanced EWS model to strengthen emergency nursing practice and support early hypovolemic shock detection.
Co-Authors Andi Haryati Hasrib Andi Yani Indra Dewi Asih Luklu Susiati Faisal Faisal Geovanny Serviam Permana Putri Rahamitu Masum, Cicci Chairunisa Natasya Natasya Sri Ayu Nuramalia Kaharuddin Suparman Suparman