Skilled Nursing FacilitiesPatient Safety Management4HighCNA$ implied

A new CNA is distressed by frequent patient falls and feels blamed, lacking a reliable way to prevent falls or document that she followed safety protocols.

Existing fall prevention relies on call bells, bed alarms, and staff vigilance, but these fail for impulsive residents or when staff are occupied; there is no real-time alerting, automated risk assessment, or objective documentation of staff response times.

52
0
Opp. Score
52
Severity
4High
Willingness to Pay
implied
Added
Nov 5, 2026

Workarounds Described

  • Relying on call bell and rushing to resident when called
  • Checking on confident residents periodically, but unable to be everywhere at once

Implied Software Gaps

  • Fall risk prediction system that alerts staff before patient attempts to stand
  • Automated tracking of staff response times and safety interventions
App Concept

SafeStep Fall Prevention

A wearable sensor and app system that predicts and prevents patient falls. It uses motion detection and machine learning to alert staff before a fall occurs, and automatically logs all safety checks and response times for accountability.

Key Features
  • Wearable sensors that detect patient movement patterns indicating high fall risk
  • Real-time alerts to staff smartphones with patient location and risk level
  • Automated documentation of safety checks and response times for review
  • Analytics dashboard to identify high-risk patients and trends
Target Users: CNAs and nurses in skilled nursing facilities and hospitals
Revenue Model: $49/mo per patient for sensor and monitoring service

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