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p-Index From 2021 - 2026
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All Journal Journal of Industrial Engineering & Management Research (JIEMAR) Journal Health of Indonesian
Charles Onyeka Nwamekwe
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Humanities Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Neuroscience Nursing Public Health

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Patient Flow and Service Efficiency in Public Hospitals: Data-Driven Approaches, Strategies, Challenges, and Future Directions Okechukwu Chiedu Ezeanyim; Emeka Celestine Nwabunwanne; Nkemakonam Chidiebube Igbokwe; Charles Onyeka Nwamekwe
Journal Health of Indonesian Vol. 3 No. 02 (2025): Journal Health of Indonesian, July 2025
Publisher : Paspama Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/health.v3i02.228

Abstract

Public hospitals in resource-constrained environments face persistent challenges in patient flow and service efficiency, often resulting in overcrowded emergency departments, delayed admissions, and prolonged waiting times. This review synthesizes literature on data-driven and operational strategies that address these inefficiencies, focusing on predictive analytics, discrete-event simulation, artificial intelligence, and digital dashboards. Findings reveal that integrating simulation-based capacity planning, workforce scheduling, and proactive bed management with digital decision-support tools can significantly enhance throughput and reduce systemic bottlenecks. However, the successful adoption of these strategies requires overcoming barriers such as limited data interoperability, inadequate infrastructure, staff resistance to change, and ethical concerns related to patient data use. Emerging trends, including digital twins, mobile health solutions, and AI-driven predictive models, highlight opportunities for scalable and context-appropriate interventions. The review emphasizes the critical role of governance, interdisciplinary collaboration, and policy support in sustaining efficiency gains. Ultimately, structured, data-enabled frameworks are necessary to build resilient hospital systems that advance equitable healthcare access and contribute to achieving Sustainable Development Goals (SDGs) in low- and middle-income countries.
Human-Robot Collaboration in Industrial Engineering: Enhancing Productivity and Safety Charles Onyeka Nwamekwe; Igbokwe Nkemakonam Chidiebube; Ono Chukwuma Godfrey; Nwabunwanne Emeka Celestine; Aguh, Patrick Sunday
Journal of Industrial Engineering & Management Research Vol. 6 No. 5 (2025): October 2025
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v6i5.601

Abstract

Human-Robot Collaboration (HRC) is revolutionizing industrial engineering by integrating collaborative robots (cobots) into shared workspaces to enhance productivity, safety, and operational efficiency. This research explores the paradigm shift from traditional automation to human-centric Industry 5.0 principles, focusing on cobots' role in addressing ergonomic challenges, optimizing workflows, and ensuring safe human-robot interaction. It emphasizes the adaptability of cobots to various applications, from manufacturing to logistics, showcasing their potential to transform industrial processes. Key topics include the evolution of cobots, their industrial use cases, and the ergonomic benefits they provide by reducing workplace injuries and enhancing worker well-being. Case studies highlight successful cobot implementations in automotive, assembly, and logistics industries, underscoring their role in fostering productivity and creating safer, more ergonomic work environments. By addressing both technical and ergonomic dimensions, this research provides a comprehensive overview of HRC's current state and future directions, offering insights into how cobots can harmoniously integrate human ingenuity with robotic efficiency for sustainable industrial progress.
Co-Authors Aguh, Patrick Sunday Emeka Celestine Nwabunwanne Igbokwe Nkemakonam Chidiebube Nkemakonam Chidiebube Igbokwe Nwabunwanne Emeka Celestine Okechukwu Chiedu Ezeanyim Ono Chukwuma Godfrey