FAID Quantum

A quantum leap forward in bio-mathematical modelling for fatigue risk management, FAID Quantum offers

  • The ultimate accuracy in sleep-wake prediction
  • New bio-mathematical modelling based on real-world data
  • Peer-reviewed, documented scientific model
  • Optional incorporation of your actual sleep-wake data
  • Optional incorporation of time zone and circadian disruption calculations
  • Output in two scales – KSS and FAID Score
  • A cost-effective management solution
  • Easy to use for large data sets

InterDynamics’ FAID software has been an industry standard for alertness prediction and fatigue management since its introduction in the late 1990s. Now InterDynamics is setting a new standard with FAID Quantum, which offers a whole new level of scientifically-verified accuracy based on real-world data.

FAID Quantum is available in versions to suit both businesses and individuals:

FAID Quantum
  • Personal
  • Small Business
  • Business
  • Rosterer
  • Enterprise
  • Shared Object Library (SOL)
 
Period of Analysis
  • Personal

    Unrestricted

  • Small Business

    3 Months

  • Business

    Unrestricted

  • Rosterer

    Unrestricted

  • Enterprise

    Unrestricted

  • Shared Object Library (SOL)

    Unrestricted

# employees / work schedule
  • Personal

    1

  • Small Business

    30

  • Business

    Unlimited

  • Rosterer

    Unlimited

  • Enterprise

    Unlimited

  • Shared Object Library (SOL)

    Unlimited

FAID Quantum can also be customised according to the user’s needs:

  • FAID Score (FAID Standard BMM) – included
  • KSS Score (FAID Quantum BMM) – optional
  • Sleep Prediction – optional
  • Time Zone & Crew Augmentation – optional

FAID Quantum continues to provide output in the original FAID Standard bio-mathematical model developed by Dr Adam Fletcher and Professor Drew Dawson.

The FAID Quantum bio-mathematical model was developed by Dr David Darwent in conjunction with Professor Drew Dawson and Dr Greg Roach of the Appleton Institute. It uses the best sleep-wake predictor algorithms that have yet been published in international peer-reviewed literature and analyses the work-rest schedules of your personnel to produce a fatigue score in the Karolinska Sleepiness Scale (KSS).

The researchers at the Appleton Institute have used what may be the largest database of quality sleep-wake data in the world, incorporating nearly 15,000 days and nights of data collected from various industries, including long-haul aviation, to underpin predictions. With older bio-mathematical models of fatigue, predictions were based on average patterns of sleeping and waking but, with FAID Quantum, actual sleep and wake patterns are used to predict future alertness. With this superior real-world data, FAID Quantum can justifiably claim to be the most accurate predictor of alertness available on the market today.