PraePlan - use your own data to optimize rostering

Staff are the most valuable resource in any business. Having employees at work with nothing to do wastes time and money, while being understaffed wears down your team and compromises patient safety. Using machine learning, PraePlan forecasts how busy your department will be months in advance, allowing you to plan optimally.

5 quick facts about PraePlan:

We predict the number of patient arrivals shift by shift or day by day, months into the future.
You can optimize your staff scheduling.
You achieve better staff management and financial optimization.
Accuracy: +/- 1-2 patients per hour (based on 40-95 patient arrivals per day).
Your department must be able to provide historical patient arrival data from the past two years, as well as information on local events.

Our product, PraePlan, offers long-term forecasting to support shift planning.

Based on your department’s historical activity, PraePlan forecasts patient flow months in advance, enabling you to create daily rosters with optimal staffing.

You’ll receive an initial forecast as far into the future as you need.

What you need to provide

We only need data on how many patients your department has seen over the past two years — that’s it. Our system handles the rest.While training the models, there may be some days when predictions are less accurate. These are typically exceptional days, caused by events such as festivals or concerts. By identifying such days, you can help the system learn and perform even better.

Why choose our system?

Because we help you save money, keep your patients safe, and ensure happy staff. PraePlan allows you to roster your staff according to actual patient flow. This reduces the risk of overstaffing, which wastes resources, or understaffing, which compromises patient safety.

Price:

4,250 DKK for a 4-week forecast

42,500 DKK for a full year of forecasts

Interested?

Contact us at contact@praemostro.com or call +45 25 56 30 20. Our prices are competitive, and the cost represents only a small fraction of the department’s payroll budget.

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