Clinical applications and challenges of digital phenotypes for bipolar disorder
10.3760/cma.j.cn113661-20240302-00077
- VernacularTitle:双相障碍数字表型的临床应用和挑战
- Author:
Jianbo LAI
1
;
Shaohua HU
1
Author Information
1. 浙江大学医学院附属第一医院精神卫生科，杭州 310003
- Publication Type:Journal Article
- Keywords:
Bipolar disorder;
Disease management;
Digital phenotype;
Biological phenotype
- From:
Chinese Journal of Psychiatry
2024;57(9):566-569
- CountryChina
- Language:Chinese
-
Abstract:
Bipolar disorder typically onset during adolescence and is featured with recurrent episodes and chronicity. The clinical management of bipolar disorder aims to enhance cure rates and reduce recurrence rates. With the rapid advancement of digital digital healthcare, digital phenotype approach shows promise in the clinical diagnosis and treatment of bipolar disorder, presenting both new opportunities and challenges. This approach captures real-time physical, psychological, and activity data from patients. Previous studies have initially validated the usefulness of digital phenotype in the diagnosis, treatment, management, and epidemiological surveillance of bipolar disorder. However, as a novel diagnostic and treatment tool, the application of digital phenotype faces challenges related to data privacy and security, technical reliability and validity, algorithmic iteration and model optimisation, as well as interdisciplinary cooperation and integration. Simultaneously, it has to address critical issues in the clinical management of bipolar disorder. Digital healthcare based on digital phenotype is poised tocomprehensively promote the accessibility, efficiency, and justification of bipolar disorder diagnosis and treatment.
