RPM Active
18
of 24 residents enrolled
High Fall Risk
3
↑ 1 from yesterday
Active Alerts
5
2 critical · 3 warning
Falls MTD
1
↓ 3 vs last month
Live Alerts
Now
24h
7d
Dorothy H. — Room 14FALL
Radar detected rapid descent. No response to voice prompt. Dispatching staff.
2m ago
Robert M. — Room 7RPM
BP 168/104 · 3 consecutive high readings. Hypertensive threshold exceeded.
11m ago
Eleanor V. — Room 21RISK
Fall risk score risen to 74/100. Gait speed declined 18% this week.
1h ago
Harold T. — Room 9RPM
SpO₂ 91% over 40 min. Possible COPD exacerbation. Vitals trending down.
3h ago
Margaret B. — Room 3RPM
Weight gain +2.4 lbs overnight. CHF fluid retention flag triggered.
6h ago
Fall Incidents — Hour of Day (30d)
Unit 3A
Fewer falls
More falls
⚠ Peak risk window: 2am – 4am & 6pm – 8pm
Consider enhanced rounding protocol during these windows
Population Vitals — Last 7 Days
1d
7d
30d
Avg BP Systolic
High-risk count
Device Status
18 deployed
XK300 Radar — Rm 14
Fall event logged 2m ago
LIVE
BP Monitor — Rm 7
Last sync: 11m ago · 3 readings
LIVE
Smart Scale — Rm 3
Last sync: 6h ago · weight flag
IDLE
Pulse Ox — Rm 9
Low SpO₂ alert active
LIVE
XK300 Radar — Rm 22
Battery low — 8%
LOW BATT
Resident Risk Overview
All Residents — Fall Risk Score + Live Vitals
sorted by risk ↓
Resident
Fall Risk
Vitals
Status
Critical
2
Requires immediate action
Warnings
3
Monitor closely
Resolved today
7
↓ avg response 4.2 min
Uptime
99.2%
Sensor network
All Active Alerts
Dorothy H. — Room 14 FALL DETECTED
Radar sensor XK300 detected rapid descent. No movement for 90 seconds. Staff dispatched. Previous fall risk score: 81/100.
2m ago
Robert M. — Room 7 HYPERTENSION
Blood pressure 168/104 for 3 consecutive readings over 25 minutes. Patient on antihypertensive therapy. Physician notification pending.
11m ago
Eleanor V. — Room 21 FALL RISK ELEVATED
AI model: score 74/100 (was 56/100 Monday). Contributing factors: gait speed −18%, reduced activity, 2 near-miss events detected this week.
1h ago
Harold T. — Room 9 LOW SpO₂
SpO₂ averaging 91% over 40 minutes. Baseline is 96%. COPD patient. Clinician notified at 14:22. Awaiting response.
3h ago
Margaret B. — Room 3 WEIGHT GAIN
Overnight weight gain +2.4 lbs. CHF threshold is +2 lbs in 24h. Medication adjustment may be warranted. Nurse review suggested.
6h ago
E
Eleanor Vickers
Safety Score
74
Elevated risk
My Vitals Today
● Live
Heart Rate
72
bpm
→ Normal
Blood Pressure
138/86
mmHg
↑ Slightly high
Oxygen
96%
SpO₂
→ Normal
Temperature
98.4
°F
→ Normal
Weight
142
lbs
→ Stable
Steps Today
842
steps
↓ Below goal
My Safety Today
74
FALL RISK SCORE
Your risk is elevated this week. Your care team has been notified and will check in with you today.
Balance assessment
Due today
Sensor monitoring
Active 24/7
Last nurse check
2h ago
Recent Activity
Medication taken
Metoprolol 25mg · confirmed
8:02 AM
Vitals recorded
BP 138/86 · HR 72 · SpO₂ 96%
7:45 AM
Morning walk
842 steps · hallway route
7:12 AM
Sleep summary
6h 40min · 2 interruptions
6:30 AM
Online
15
of 18 deployed
Needs attention
2
1 offline · 1 low batt
Avg battery
71%
1 below 10%
Readings today
284
↑ 12 vs yesterday
Falls Risk Prediction Model v2.4.1
Unit 3A avg score
51/100
Select resident
D
Dorothy Henriksen
Room 14 · Age 87 · High risk
Risk score
81
↑ +12 this week
Factor Breakdown
Score History
Interventions
Model Details
Each bar shows how much a factor contributes to this resident's score. Longer bars with warm colours push the score higher (increase risk). Teal bars reduce it.
Factor
Contribution
Pts
7d Δ
⚠ Top driver this week
Gait speed has declined 18% over 7 days and is now the primary contributor. Prior falls history compounds this significantly.
30-day score trajectory
30d ago
62
Peak
84
Current
81
AI-recommended actions ranked by predicted impact on fall risk score. Based on modifiable factors for this resident.
Predicted score impact if all interventions completed
81
→
54
−27 pts estimated
All 34 input features — grouped by category
How the score is calculated
The model uses a Gradient Boosted Tree ensemble trained on 142,000 resident-months of longitudinal care data. Each resident's 34 features are passed through the model daily. SHAP (SHapley Additive exPlanations) values are computed for each prediction so clinicians can see exactly which factors are driving the score — not just a black-box number. The model was validated against held-out SNF and AL data and achieved AUC-ROC 0.87, meaning it correctly identifies 87% of fall events 48–72 hours in advance.