This systematic literature review examines queue system simulation in hospitals across four key service areas: emergency departments, outpatient clinics, laboratories, and pharmacies. Following PRISMA methodology, 72 relevant studies (2015-2020) were analyzed to identify simulation models, software tools, performance parameters, and emerging trends. Findings reveal Discrete-Event Simulation dominance (59.7%), with increasing hybrid model adoption integrating System Dynamics and Agent-Based approaches. Emergency departments remain the primary application focus (52.8%), while Arena and AnyLogic emerged as predominant simulation platforms. Patient waiting time (91.7%) and resource utilization (77.8%) constitute the most evaluated performance metrics. Technological convergence trends demonstrate integration of real-time data analytics, machine learning, and digital twin concepts into traditional simulation frameworks. This review contributes methodological insights for optimizing hospital queueing systems while identifying research gaps in cross-departmental model interoperability and comprehensive value-based performance evaluation within contemporary healthcare systems.
 

Mobility is one of the major challenges for visually impaired individuals in their daily activities. Visual impairments make it difficult for them to detect obstacles around them, increasing the risk of injury. This study aims to design and develop a smart stick based on ESP32, equipped with an ultrasonic sensor, to assist the mobility of visually impaired people. The system uses ultrasonic sensors to detect the distance of objects and provides early warnings to users through a buzzer, with varying rhythms depending on the proximity of objects. The research methodology includes system design and development of hardware and software, as well as direct testing on visually impaired users. The test results show that the system can detect obstacles with 95% accuracy at distances up to 200 cm, and provide appropriate responses based on the distance of detected objects. In addition, this prototype is energy-efficient, allowing for prolonged use without frequent recharging. This study provides a practical solution to enhance the independence and safety of visually impaired individuals in daily activities, with the potential for further development to improve detection accuracy and user comfort.