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ID06615609

AI-Assisted Smart Family Doctor for Managing Hypertension, Diabetes, and Dyslipidemia in Adults After Coronary Artery Bypass Graft or Percutaneous Coronary Intervention

Led by China National Center for Cardiovascular Diseases · Updated on 2025-12-08

536

Participants Needed

1

Research Sites

8 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating an AI-assisted digital health tool called the Smart family doctor to improve control of hypertension, diabetes, and dyslipidemia in adults who have undergone coronary artery bypass grafting CABG or percutaneous coronary intervention PCI. This study uses a randomized controlled design involving about 536 participants across 5-10 hospitals. Participants must be adults aged 18 or older with a history of CABG or PCI and the specified conditions. Participants in the experimental group will use the AI-assisted Smart family doctor app that provides personalized health education, targeted guidance on managing blood pressure, blood sugar, medication adherence, exercise, and smoking cessation. They will also receive tailored reminders and can report self-measured health data for feedback. Both groups receive weekly 3-hour health management guidance from health managers, and participants will wear a smart band daily for health data collection during the 6-month study period. Throughout the study, participants will be assessed for control rates of hypertension, diabetes, and hyperlipidemia at 6 months. Additional measures include blood pressure, cholesterol levels, blood glucose, physical activity, quality of life, psychological status, and cognitive function. The study monitors health data continuously via smart bands and collects self-reports and clinical assessments to evaluate the interventions impact over the 6 months.

CONDITIONS

Brief Title

"Smart Family Doctor" Assisted Comprehensive Management of Secondary Prevention Among Post Coronary Artery Bypass Graft Patients or Post Percutaneous Coronary Intervention Patients

Research Team

L

Lihua Zhang Zhang, PhD

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