
Intelligent Medical Rostering
Data-driven staffing solutions that adapt to fluctuating supply and demand in healthcare environments
Why Medari?
Transform your medical staffing with intelligent, data-driven solutions
Intelligent Rostering & Scheduling
AI-powered algorithms create optimized rosters that balance staff availability with patient care demands
Adaptive Staffing Based on Demand
Dynamically adjust workforce allocation in real-time based on predictive demand forecasting
Reduced Overtime Fatigue
Smart scheduling prevents burnout by ensuring fair distribution of shifts and adequate rest periods
Data-Assisted Decision Making
Leverage comprehensive analytics to make informed staffing decisions backed by operational insights
What's demand-mismatched rostering costing you?
Move the sliders to match your Practice. We'll estimate what's recoverable each year from fixing overstaffed shifts and expensive coverage gaps.
Everyone on the roster — GPs, nurses, allied health, reception.
Blended across all roles — doesn't need to be exact.
Total hours across the whole Practice, not per person.
This models your whole-Practice weekly roster — not one person's hours. Numbers update instantly as you move the sliders.
Estimated recoverable / year
$65,520 – $98,280
Based on 8–12% of your $819,000 annual labor spend.
Idle rostered hours
Overtime & locum premiums
This is a benchmark estimate — 8–12% of your labor spend, the range demand-driven rostering typically recovers — not your Practice's real number. Connect Best Practice in Medari and Insights shows your actual demand-based figure.
How It Works
Three simple steps to transform your medical rostering
Ingests Relevant Operational Data
Seamlessly collect and process staffing data, patient volumes, and historical patterns from your existing systems
Forecasts Demand Fluctuations
Advanced predictive analytics identify staffing needs based on seasonal trends, patient patterns, and operational factors
Generates Optimized Rosters
Automatically create balanced schedules that meet demand while respecting staff preferences and compliance requirements