Design of Robust Hospital Nursing Call Communication System Considering Anti-Collision Algorithm

Hospitals have long struggled with inefficient and unreliable communication methods, relying on manual techniques such as yelling or loudspeaker systems. These methods are not only complex but also prone to error, resulting in delays and potential harm to patients. In response, this research work presents an innovative solution: a robust nurse call communication system that utilizes an anti-collision algorithm. This innovative approach is revolutionizing communication within hospitals, promoting the timely and accurate exchange of information to improve patient care and safety. The study boasts several groundbreaking innovations, including: (1) The pioneering IoT communication method harnessing RS-486 technology, significantly enhance data transmission efficiency and reliability. (2) The proposed call communication system carefully considers anti-collision algorithms, empowering simultaneous transmission of multiple calls sans any interference. (3) The holistic and resilient hospital nursing call communication system seamlessly integrates the above innovations, offering a dependable and streamlined solution for healthcare facilities. Together, these advancements represent a significant step forward in the quest for optimal healthcare communication methods that can significantly improve patient care and safety. In the experimental phase, the proposed system was carefully designed and implemented, and a thorough study of the relationship between the volume of conflict detection tasks and the corresponding time requirements was conducted. The results clearly demonstrated a linear relationship between the two variables with the novel algorithm showing superiority over its traditional counterpart in terms of overall performance.