Research on the alleviating effect of advanced medical models on patient psychological anxiety

Last registered on April 02, 2024


Trial Information

General Information

Research on the alleviating effect of advanced medical models on patient psychological anxiety
Initial registration date
March 29, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
April 02, 2024, 11:18 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.


Primary Investigator


Other Primary Investigator(s)

Additional Trial Information

In development
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Patient care transitions across the fragmented healthcare continuum are one of the major challenges facing healthcare systems worldwide. Previous research on care transitions has identified anxiety levels as an important determinant of behaviour in patients with chronic conditions. Following hospital discharge, patients (and families) are often on their own, and the sudden transition can increase anxiety and stress, which has been shown to be associated with delayed recovery. On the one hand, emotional anxiety may be responsible for exacerbating patients' poor lifestyle habits, such as unhealthy diets, heavy alcohol consumption, and sedentary lifestyles, which in turn increase the risk of chronic diseases. On the other hand, people diagnosed with chronic illnesses may be prone to mood disorders and lack the ability to regulate their emotions on their own, requiring support from external sources. Prolonged anxiety in people with chronic illnesses can lead to a vicious cycle of "increased psychological anxiety - slow recovery from illness", highlighting the need for more comprehensive mental health support in the management of chronic illnesses. This study will develop an advanced large model for the psychological health management of chronic disease patients based on generative artificial intelligence models, intervene in the psychological anxiety of chronic disease patients, evaluate the effectiveness of alleviating their psychological anxiety, reveal the potential application of advanced large models in the field of healthcare, and lay a theoretical and practical foundation for constructing a transitional service mechanism for patient care.
External Link(s)

Registration Citation

Li, Hao. 2024. "Research on the alleviating effect of advanced medical models on patient psychological anxiety." AEA RCT Registry. April 02.
Experimental Details


Providing psychological intervention services based on artificial intelligence technology for chronic disease patients
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Patient's level of psychological anxiety
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The program was standardized in that it specified the norms of activities for each subject, determining the content, sequence, timing, and objectives of actions during the psychological intervention process. The research team developed an intelligent healthcare service platform based on standardized work and lean operation principles, allowing patients to access psychological intervention services provided by AI through mobile devices, such as promoting healthy living habits, increasing disease awareness, providing positive emotional feedback, and controlling risk factors. Doctors and the supervisory committee monitored and provided feedback on the human-machine interaction based on AI through the intelligent healthcare service platform. To improve the ease of use and acceptance of AI services, we deployed the intelligent healthcare service platform on WeChat, which is China's largest social networking platform and reaches almost all of the country's population. Following the text and voice interaction of WeChat, patients can easily access and use psychological intervention services from AI without changing their usage habits. This is very important for vulnerable populations such as the aging. Limited by their cognitive and learning abilities, aging populations often have barriers to using new technologies and equipment. And they happen to be the main group of people suffering from chronic diseases. The complete psychological intervention service lasted for 4 weeks. The patients received notifications of service requests from the doctor (for Treatment group 1) or AI (for Treatment group 2/3) via wechat at a fixed time of day. After receiving confirmation from the patient, the psychosocial intervention service officially starts and lasts for 30 minutes. The patient can choose text communication or voice dialog to receive the psychological intervention service. Details of all conversations will be recorded in a standardized format, and the responsible doctor (for Treatment group 3) will rate the daily conversations between the M-AI and each patient (on a scale of 1-5) and give standardized recommendations for the M-AI to improve the conversations through the model's back-end interaction system that we have developed.
Experimental Design Details
Randomization Method
Randomly select patients who meet the conditions through computer programs
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
200 individuals
Sample size: planned number of observations
200 individuals
Sample size (or number of clusters) by treatment arms
100 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number


Post Trial Information

Study Withdrawal

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Is the intervention completed?
Data Collection Complete
Data Publication

Data Publication

Is public data available?

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials