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SleepData-Sleep disorders clinical platform Delayed sleep phase disorder

This dissertation presents the design and development of SleepData, a new information platform for managing clinical information on sleep disorders. The platform can integrate data from multiple sources produced by a diversity of monitoring devices and lab tests. SleepData provides tools for statistical analysis and diagnostic support tools specially designed to study patients with delayed sleep phase disorder (DSPD) and insomnia. The platform is designed to comply with the FAIR data principles for scientific data management, adopting FHIR, a standard for healthcare information exchange, and SNOMED CT and LOINC, two medical nomenclatures. Information is secured in compliance with the Portuguese Data Protection Authority recommendations. An initial study of patients with DSPD, based on data integrated into SleepData from a state of the art clinic, shows that this population presents a delay in phase of 1-4 hours, several comorbidities and common stress factors. The results point to the causes for DSPD in this set of patients being behavioural rather than physiological, as the delay is reduced when the surroundings have reduced stimuli. Additionally, the results of dim-light melatonin onset, a know marker for DSPD, are not consistent with the disorder.