This startup provides AI-powered prediction software that forecasts patient attendance in emergency departments and other healthcare settings. The platform helps healthcare providers optimize resource allocation by accurately predicting patient flow from hours to months in advance.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare facilities often struggle with unpredictable patient volumes, leading to inefficient resource allocation, staff burnout, and compromised patient care. Traditional methods of predicting patient flow lack the accuracy needed to proactively adjust staffing levels and optimize resource utilization. This uncertainty results in both understaffing during peak times and overstaffing during slow periods, increasing operational costs and decreasing overall efficiency.
Solution
Praemostro offers a suite of AI-powered predictive analytics tools designed to forecast patient arrivals in various healthcare settings, enabling data-driven resource management. By analyzing historical patient data, real-time inputs, and external factors, Praemostro's solutions provide accurate predictions of patient volume from hours to months in advance. The platform includes PraeSight, which forecasts patient arrivals for the next 12 hours, PraePlan, which optimizes staff scheduling based on predicted patient volume over weeks or months, and PraeBirth, which forecasts the number of births up to 90 days in advance. These tools enable healthcare providers to proactively adjust staffing, optimize resource allocation, improve patient safety, and enhance staff well-being.
Target Audience
The primary target audience includes hospital administrators, emergency department managers, maternity ward supervisors, and other healthcare professionals responsible for resource allocation and staff scheduling.
Features
- AI-driven forecasting algorithms that analyze historical data, real-time inputs, and external factors to predict patient arrivals.
- PraeSight: Provides hourly forecasts of patient arrivals for the next 12 hours with a reported accuracy of +/- one patient per hour in a live environment.
- PraePlan: Enables optimized staff scheduling by predicting patient volume on a shift-by-shift or day-by-day basis months in advance.
- PraeBirth: Forecasts the daily number of births up to 90 days in advance to facilitate optimal staffing in maternity wards.
- Integration with existing hospital systems to ingest historical patient data and receive real-time updates on patient arrivals.
- Customizable dashboards and reporting tools to visualize predicted patient volumes and track the accuracy of forecasts.