Readi Overview
Readi fatigue risk management software provides predictive insights into driver and operator fatigue, allowing you to mitigate fatigue risk before it becomes dangerous.
WHITEPAPER: The ROI of Readi
Learn how Readi can enable your organization to decrease total lost-time incidents by 13%.
What’s Included: Readi vs Sleep Intelligence
Fatigue Science’s Readi fatigue risk management system includes:
With the ReadiWatch and ReadiOne app, operators receive predictive fatigue scores and alerts throughout their shift, allowing them to take mitigating actions in advance.
Through ReadiSupervise, supervisors receive fatigue predictions and alerts well in advance (up to 18 hours before a shift). This allows for proactive management of workforce fatigue risk, ensuring adjustments are made long before an employee reaches a critical state.
ReadiAnalytics provides leadership with comprehensive insights through predictive data analytics. This includes historical data, future fatigue predictions, and real-time insights into workforce fatigue. Managers can view fatigue metrics across locations, shifts, and individual workers. Additionally, custom BI integration allows data to be modified and analyzed further within third-party tools.
Sleep Intelligence provides:
iSleep Wearable: A basic device designed for sleep capture and monitoring that delivers minimal analysis focused on sleep quantity.
Covid App: Additional tools that provide proximity and COVID-related analysis.
Overall Offering: Positioned as a cost-sensitive, “box-ticker” solution, it delivers only essential functions. Its content and analysis capabilities are notably outdated and lack the depth required for comprehensive fatigue management.
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Validated Technology
The ReadiScore has been validated extensively by the US Dept. of Transportation, the Federal Aviation Administration, and many other public and private institutions.
The ReadiScore is the output of the SAFTE Biomathematical Fatigue Model, which was developed by researchers at the US Army’s Walter Reed Army Institute of Research. It has been studied and validated in 13 published independent papers. Our fatigue risk prediction has a validated 92% accuracy level.
Sleep Intelligence’s technology has not been independently validated by reputable authorities, and there are no published studies confirming its predictive accuracy. This absence of rigorous validation means it may not deliver the reliable fatigue insights needed for high-risk operations.
Impact Analysis
The Readi system has the ability to connect a driver’s fatigue scores to safety events to quantify the impact of fatigue mitigation on the organization.
A recent meta-study found that Readi could reliably predict if and when a driver would experience a 12x higher incidence of microsleeps vs. their baseline rested state. Additionally, the US Dept. of Transportation published a study revealing a 7.3x higher accident cost in cases where the ReadiScore had predicted high fatigue.
Similarly, two telematics studies conducted by Fatigue Science clients showed 8.5x higher incidence of harsh braking and a 4x higher incidence of speeding in cases where Readi had predicted high fatigue.
Sleep Intelligence does not offer any impact analysis capabilities. It cannot correlate sleep or fatigue metrics with actual safety events, limiting its usefulness in proactive risk mitigation.
Full Cycle FRMS: Predicting Fatigue Risk Is Only the Start
Readi provides an organization with a full Fatigue Risk Management System. This means that a user can start and finish the fatigue workflow within the tools:
-Identify fatigued drivers
-Conduct a fit for duty assessment
-Evaluate and assign mitigations actions
-Analyze historical data to assess effectiveness of the actions and adjust policy and procedure accordingly
Sleep Intelligence provides only a basic sleep tracking and analysis function. It is not designed as a full cycle FRMS and does not support the comprehensive fatigue management workflow needed to effectively mitigate fatigue risks.
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