🎥 Tutorial guide
Ward Statistics, Forecast and Predictive Analytics
Ward analytics help managers and clinical teams understand capacity, patient flow, demand, and operational performance.
📊 Stats tab metrics
- Average wait time
- Average stay duration
- Patient inter-arrival time
- Patients in the waiting room or consultation
- Patients waiting for bed assignment
- Patients admitted in the ward
- Admissions, transfers, discharges, and bed discharges today
- Readmissions within the last 30 days
📋 Where the stats help
- Morning planning meetings
- End-of-day operational reports
- Ward performance evaluations
- Bed utilization reviews
🔮 Forecast tab
The Forecast tab uses historical and current operational data to predict expected admissions for a selected day. It compares the prediction with recent activity such as yesterday?s admissions, the same day last week, and admissions so far today.
⚙️ Forecast inputs
- Hourly patient admissions
- Scheduled admissions
- Discharges and transfers
- Current ward occupancy
- Average length of stay for similar conditions
- Other operational patterns
💡 Planning value: Use analytics to plan staffing, beds, and resources before pressure builds on the ward.
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Next step
Use the navigation below to continue through this tutorial series in the same order as the full demo.