Intelligent Diagnosis and Treatment Model for Insomnia Disorder

Study on an Intelligent Model for the Diagnosis and Treatment of Insomnia Disorder

To establish a multicenter, multi-dimensional cohort on insomnia disorder and to develop an intelligent model for the diagnosis and treatment of insomnia disorder.

The study endeavors to establish a multicenter cohort comprising 16,000 individuals diagnosed with insomnia disorder, with a subsequent 2-year follow-up. Objectives encompass elucidating the natural development of insomnia disorder within diverse populations, identifying associated factors, and evaluating the short-term and long-term impacts on physiological, psychological, and social functions in insomnia disorder. Additionally, the research aims to devise early screening methodologies, precise assessments, and innovative disease classifications utilizing real-time assessment technology within the insomnia disorder cohort. Furthermore, the investigation seeks to ascertain graded diagnoses, treatment modalities, and prognostic indicators based on advanced multi-dimensional real-time assessment technology applied to a substantial insomnia disorder cohort. Finally, the study aims to refine remote interactive diagnostic and treatment modalities tailored to diverse age groups, culminating in developing a systematic graded diagnostic and treatment framework for insomnia disorder.

Inclusion Criteria:

1. A complaint of insomnia;
2. Age between 18 and 75;
3. Able to fill out the scale on their own;
4. Agree to sign the informed consent to participate in the study and cooperate in completing the follow-up visit.

Exclusion Criteria:

1.A current or history of comorbid Axis I psychiatric disorders.