Our technical system is specifically developed to find patterns in data and use them to predict how busy things will get in the future.
Using information about how busy things usually are, what’s happening in the community, prevailing weather conditions and multiple other sources, we work out whether there’s about to be a rush.
It might just sound too good to be true – but we can prove that we are right!
Since August 2022, our system has been running at a large Danish university hospital, which has one of the biggest and most complex Accident and Emergency Departments in Denmark – and we are hitting the mark. In fact, it’s so accurate that the system is currently integrated into the hospital’s daily operations and is used by multiple staff groups for planning their days. The same is true in multiple departments across the Danish healthcare system.
For example, if staff call in sick, the system is used to assess whether or not other staff need to be called in from their days off. And if it gets busy, the system is used to assess whether the rush will be brief and whether the staff present can handle the work for the day or if the rush will be a longer period of busyness, meaning extra resources will need to be called in to ensure that staff can carry out the work safely for the patients.
The development of our prediction system started as a research project using data from the Accident & Emergency Department at Odense University Hospital. Since then, our prediction system has been installed in a large number of other hospital departments – and continues to be used with a great level of satisfaction.
Today, Praemostro is an independent company offering its prediction system to emergency departments all around the globe. At the same time, we are working on expanding our models for use in places other than accident and emergency departments, which means we can also help:
We actually expect that our system can additionally be used in many other industries, including all places where the number of enquiries (or customers) increases, decreases and is affected by external factors for example, at restaurants, cafés, in supermarkets and grocery stores, shopping malls and ice cream parlours. Just to name a few.
So, are you a business owner who would like to find out if we can predict your busyness? Get in touch with us and we’ll see what we can do!
