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Introduction
Mental health is a state of mental well-being that enables individual to freely address the stresses of life and well realize their abilities to learn and work. Mental health issues have become an important health concerns that must be addressed in the process of economic and social development in recent years. The rapid advancement of digital technologies has brought about significant changes in the way mental health services are delivered and managed. For instance, online mental healthcare platforms develop quickly and offer new channels for patients to seek support. However, mental health services still lack digital resources for patients to receive high-quality health service and effective treatment (Zhang et al., 2021). The effect on online professionals’ economic performance should be explored (Yan, Kuang, & Qiu, 2022).
Digital technologies such as AI and big data offer solutions to this dilemma (e.g., Kuang, Xie, & Yan, 2023). With the vigorous development of information technology, especially the new generation of information technologies represented by big data, cloud computing, artificial intelligence, etc., many revolutionary applications are emerging in healthcare industry (Bucci, Schwannauer, & Berry, 2019). How to apply these information technologies and related revolutionary applications to the field of mental health management, including but not limited to detection, diagnosis, intervention, and treatment, and thereby improve the quality of mental health management have great opportunities (Kuang, Yan, & Sun, 2022; Scott, Valley, & Simecka, 2017).
However, the wide use of new technologies also brings lots of challenges for mental health management (Simmons & Katterl, 2024). For example, responsible AI in mental health represents a promising frontier for improving mental health outcomes, offering personalized care, and enhancing the efficiency of mental health services. However, realizing these benefits requires careful consideration of ethical, legal, and social implications, ensuring these technologies serve the best interests of individuals and society (Siala & Wang, 2022).
This special issue aims to explore the opportunities and challenges presented by these technologies within the context of industrial management and data systems. Specifically, we look forward to the studies 1) investigating the role of digital technologies in enhancing mental health management in organizational settings, 2) Exploring the challenges and barriers to the effective integration of digital health solutions for mental well-being, 3) examining the implications of data systems and analytics in understanding and supporting mental health initiatives, and 4) investigating the ethical, privacy, and security considerations in the deployment of digital mental health technologies. We invite researchers, practitioners, and academicians to contribute original research articles, longitudinal studies, case studies, empirical studies, and theoretical perspectives that examine the impact of digital technologies on mental health management.
List of topic areas
- Impact of social media on mental health
- Detecting, monitoring and intervening mental health issues with new technologies in the social media age
- Acceptance, adoption, and diffusion of digital technologies for mental health
- Digital technologies use and mental healthcare management for an aging society
- The advancement of mobile mental health (mMH) technologies (apps and social networking etc.) for healthcare management
- Emerging technologies use for mental health service delivery
- The dark side of new technologies, such as ethical issues and information privacy concerns, for mental health management
- Cross-cultural studies related to digital technologies and mental health
- Digital interventions and their efficacy
- Wearable technologies and mental health monitoring
- AI and machine learning in mental health
- Development and application of ethical guidelines specific to AI in the mental health sector
- Human-AI collaboration in mental health care
- Transparency and explainability in mental health AI applications
- Emotional AI and its applications in mental health
- Blockchain for privacy and security in mental health data
- Virtual and augmented reality therapies
- Ethical considerations in digital mental health
Guest Editors
Zhijun Yan, Beijing Institute of Technology, China, [email protected]
Chuan Shi, Peking University Sixth Hospital, China, [email protected]
Yichuan Wang, The University of Sheffield, UK, [email protected]
Shiwei Sun, Beijing Institute of Technology, China, [email protected]
Submissions Information
Submissions are made using ScholarOne Manuscripts. Author guidelines must be strictly followed.
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”.
Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.
Key deadlines
Opening date for manuscripts submissions: 15/08/2024
Closing date for manuscripts submission: 30/04/2025
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