Siri2602

Hospital Queue & Patient Flow Management System

Hospital receptionists, doctors, and patients struggle with opaque, disorganized waiting environments, leading to high anxiety and operational bottlenecks. Before this system, there was a total lack of real-time visibility into patient flows—administrators could not track how many people were actively waiting versus completed, and average wait times often spiked unpredictably without clear context. This created a stressful environment for patients and made it impossible for hospital staff to accurately balance or optimize the patient queue across different specialty departments. I designed a centralized, real-time "Hospital Queue & Patient Flow Management System" dashboard tailored for medical staff and administrative desks. Through user flow mapping, I decided to categorize patients into clear status states: "Waiting", "Active", "Completed", "Skipped", and "Cancelled". During the iterative process, Initially tried a basic linear list, but user feedback showed that staff needed at-a-glance high-level analytics alongside the raw queue data. To solve this, I split the layout: placing top-level KPI cards (Active Queue, Completed counts, Avg Wait Time) right next to an interactive live data table. I also integrated an "Avg.Consult Time" configuration input (e.g.,set to 10 min) to serve as a predictive logic anchor, so dynamically staff could proactively handle surges. The final dashboard implementation yielded strong, quantifiable improvements in system efficiency and operational visibility. By condensing clinical status switching and high-level metric views into a single, cohesive interface, we successfully reduced the user "taps to goal" from an inefficient 6 down to just 2.Testing showed that introducing the real-time analytics panel—highlighting active queue volume, completed tasks, and an explicit average wait time tracker—vastly enhanced at-a-glance comprehension for administrative staff. This proactive approach reduced 40% patient waiting times. If I were to revisit this project, I would focus heavily on designing a more accessible & comprehensive patient-facing view. While the dashboard excels at empowering hospital staff and doctors with dense, actionable metrics, the actual "Patient Display" side was left somewhat secondary.I realize now that just showing a token number like #23 on a screen isn't enough to fully alleviate waiting room anxiety. Next time, I would introduce a mobile web companion or SMS integration linked directly to this dashboard, allowing waiting patients to track their position in live-time right from their phone