Monitoring, remote counselling, and crisis response in a layered mental health service
The Report on National Mental Health Development in China finds rising rates of depression and anxiety in adults, and a sharper problem among adolescents. The Ministry of Education requires at least one full-time mental health teacher in every primary and secondary school, and a crisis pathway in every university. Services are still unevenly spread, problems are found late, help arrives late, and people worry about privacy. This solution combines IoT wearables, artificial intelligence, remote counselling, and a crisis pathway for schools, employers, communities, and clinical services.
State is read from scales, from wearables that record sleep, heart rate, and activity, and from behavior such as app use and social interaction. Remote care includes video sessions, a place to talk in writing, and an AI companion. Risk models for depression, anxiety, and suicide risk raise an alert on a high-risk person and start the response. That response includes a 24-hour line, referral to a specialist, and follow-up. Screening, counselling, alert, and intervention stay on one loop, which is how the service is meant to reduce crisis events.
The Mental Health Law and the Healthy China Initiative place mental health inside public health. On campus, new students are screened, screening repeats, student advisors receive the alert, and there is a referral path to a psychiatric service. In an employee assistance program, staff can complete an anonymous assessment, take a stress-management course, and a crisis case gets a 24-hour response. On privacy and ethics, data is encrypted, consent is collected, AI suggestions are advisory, and a person confirms any major decision. Across agencies, health, education, public security, and civil affairs share a crisis coordination path.
From the first screen to follow-up
Scheduled screens use PHQ-9, GAD-7, SCL-90, and similar scales. Wearables add sleep, heart-rate variability, and activity. Behavior data supports the reading. Trends can be seen for one person or for a group.
Sessions run by video, voice, or text. An AI chat offers a first response and hands a harder case to a person. Booking, rotas, session notes, and supervision sit in the same desk.
Risk models read scale scores, keywords, and unusual behavior, and flag signals of depression, anxiety, or suicide risk. The alert goes to student advisors, HR, or a clinical team, and the response is graded.
A 24-hour line can reach the emergency contact. High-risk cases are referred to a psychiatric service, then followed so the situation does not quietly return. The pathway can connect to 120, China's emergency medical number, and to public security.
Student screening, counselling, and crisis response
Employee mental health, stress management, and crisis support
Resident services and support for older people
Digital workflows for psychiatry and psychology departments
Data: Wearables connect to the phone app over Bluetooth. Scales and session notes are entered on the web or in the app. Device data is collected on the IoT platform.
Privacy and ethics: Mental health data is highly sensitive. It is encrypted, access is controlled, and analysis is anonymized. AI suggestions are advisory, and a person confirms any major decision. The service follows counselling ethics.
Earlier notice, earlier support, and a service that stays with the person