A digital, real-time, history-based sleep-management tool to enhance alertness

In today’s 24-h society, chronic sleep disruption and circadian misalignment have led to a “global sleep crisis,” increasing the risk of cognitive impairment, workplace accidents, and long-term health consequences. Yet, most sleep management strategies rely on one-size-fits-all recommendations that overlook individual variability, resulting in suboptimal and/or impractical solutions. To address this, we previously developed a real-time, personalized sleep scheduling framework based on tracking of dynamic sleep pressure and circadian rhythms using a mathematical model. We recently implemented this framework in SleepWake, a mobile app designed for real-world applications. In a retrospective analysis of a 71-participant clinical study and a prospective trial with 19 shift workers, greater adherence to SleepWake’s personalized recommendations led to significant improvements in alertness. These benefits stemmed from two key innovations that go beyond static sleep guidelines: real-time prescribed supplemental sleep to counteract prior deficits and personalized sleep phase alignment tailored to individual circadian patterns. This study provides the first direct evidence that continuously updated, individualized sleep schedules can optimize alertness and sleep health in real-world settings. By delivering sleep recommendations rooted in sleep physiology and evidence-based modeling, SleepWake has the potential to improve health, enhance safety, and elevate the overall quality of life in today’s around-the-clock society.