ASLEEP – a platform for sleep assessment and sleep improvement solutions DOI: 10.29188/2712-9217-2025-11-1-35-40

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Introduction. Sleep disorders remain highly prevalent and are associated with adverse somatic and mental health outcomes. The growing ecosystem of digital tools – from electronic sleep diaries to cognitive behavioral therapy for insomnia (CBT-I) – offers new opportunities for screening and monitoring. However, clinical integration requires validation and standardization. The study aimed to develop the ASLEEP platform for personalized patient navigation in sleep disorders.

Materials and Methods. Based on ICSD-3 classification and AASM/NICE recommendations, key symptoms and diagnostic criteria were defined. A structured questionnaire comprising six modules and 31 responses was implemented in an MVP web platform (Next.js, PostgreSQL, Yandex Cloud). A targeted literature review (2017–2025) was conducted using keywords such as actigraphy, HSAT, digital CBT-I, Sleepio, and Somryst.

Results. The ASLEEP service generates 22 possible patient pathways – from self-help and CBT-I to referral for sleep studies (HSAT, PSG). The platform integrates screening for sleep-disordered breathing (NoSAS), insomnia, circadian rhythm disorders, parasomnias, and comorbid conditions. The questionnaire is currently undergoing validation in patients prior to polysomnography.

Conclusions. The developed platform enables structured data collection and automated clinical recommendations, enhancing accessibility of sleep diagnostics and the efficiency of patient–physician interaction. Further steps include expanding clinical datasets and refining routing algorithms.