Reframing Insomnia Digital Therapeutics as Platforms for Clinical Chronobiology

Digital therapeutics for insomnia have moved beyond the experimental stage and are increasingly recognized as evidencebased treatment options.A meta-analysis of randomized controlled trials reported that fully automated digital cognitive behavioral therapy for insomnia (dCBT-I) yields moderate or greater reductions in insomnia severity compared with control conditions, supporting dCBT-I as an accessible and effective strategy for insomnia management [1].More recently, a multicenter, single-blind randomized clinical trial of a mobile app-based CBT-I program (Somzz), conducted at three university hospitals in Korea, showed that, compared with an active sleep hygiene education app, Somzz produced greater and sustained improvements in insomnia severity, sleep efficiency, and mental health and quality-of-life outcomes, with low attrition [2].A pilot study of the prototype digital therapeutic LUIT-K, also conducted in Korea and published in Chronobiology in Medicine, demonstrated that delivering CBT-I content via a mobile application over six weeks was feasible and led to significant improvements in insomnia severity and sleeprelated indices in adults with insomnia [3].Together, these findings indicate that digital therapeutics can preserve the core advantages of CBT-I while substantially increasing its applicability and scalability in real-world clinical practice.In this perspective, we argue that such insomnia-focused digital tools should now be explicitly reframed and developed as clinical chronobiology platforms, rather than being treated merely as delivery vehicles for CBT-I.Digital therapeutics have also expanded into mood disorders,