Status
Conditions
Treatments
About
The goal of this clinical trial is to find out if an artificial intelligence (AI)-enhanced mobile app can help people with coronary heart disease (CHD) better manage their health after being discharged from the hospital. The main questions it aims to answer are:
Researchers will compare the AI-enhanced app to usual care, where participants receive usual health advice without using the app.
Participants will:
The study hopes to show that using an AI-enhanced app can make it easier for people with CHD to stay healthy and avoid future heart problems.
Full description
The AIM-CHD app was developed by a diverse team at Fuwai Hospital, including doctors, nurses, patients, and software engineers. It gathers information from synchronized hospital records, questionnaires, intelligent voice follow-ups, and wearable devices. Using this data, it categorizes patients by risk level, detects unmanaged risk factors, and generates individualized follow-up schedules and intervention plans. When risk factors are not well controlled, the app alerts patients to these issues. It also reminds users to monitor their health markers regularly, follow prescribed medication routines, and offers personalized health education focused on lifestyle adjustments. The app can assess the severity of blood pressure, heart rate, blood glucose, and lipid levels, advising patients to seek in-person consultations if necessary. AIM-CHD also recognizes emergency scenarios and provides options for online consultations or immediate help from Fuwai Hospital to prevent treatment delays. The platform leverages artificial intelligence (AI) for efficient lab report image recognition and speech-to-text conversion, streamlining follow-up care. Additionally, it offers customized patient education. The AIM-CHD's intervention goals and strategies are grounded in the latest clinical guidelines. The system is built with a front-end and back-end separation architecture: the back-end is developed with the .NET framework using C#, while the front-end is a WeChat mini-program created with JavaScript and React.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
1,100 participants in 2 patient groups
Loading...
Central trial contact
Prof. Gao, MD, PhD
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal