ChupOnline streamlines hospital and clinic operations with using real-time algorithms and machine learning to reduce wait times. It offers automated appointment updates and optimized scheduling without hardware or app downloads. Features like self-booking, emergency breaks, and resource redistribution ensure a seamless experience, dynamically adapting to real-time conditions, unlike traditional first-come-first-serve systems.
Reduce on-premise wait times from hours to minutes using algorithms to dynamically rearrange the real-time queue and notify users before their arrival.
Using Machine Learning algorithm, the app will work around the serving time, emergency breaks, delays and all situations that are happening on the premise to ensure customer gets updated Estimated Waiting Time (Live Queue) or a new re-appointment time (Appointment Bookings)
Right after COVID Pandemic hits the world, with the social distancing rule, it is discovered that people had to line up very long to go just about anywhere. And Healthcare industry was the worst hit (and still is) since nobody can predict what time doctor would be finish with patients. And this could create hours of backlogs.
Since the beginning of 2020, Chup has been programmed with more than 2000 (and counting) logics, algorithms, modelling and scenarios. Chup takes past data, manual input by the front desk with customers and combined it with live situations at the premise to re-organize the queue or bookings in real-time.
Also, this congestion
control algorithm working in the background then will automate
most of the works such as notifying pre-arrival customers and arrived customers.
The goal is simple: to make sure they wait as minimum as possible -
AT THE PREMISE.
