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Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study
Siyuan Wang1, Yan Shi1, Mengyun Sui1
1Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Artificial intelligence (AI) telephone follow-up is a reliable and efficient method for managing hypertension, comparable to manual follow-up. This AI approach saves time while maintaining a high degree of consistency in patient data collection.
Area of Science:
- Digital Health
- Cardiovascular Medicine
- Health Informatics
Background:
- Hypertension management requires consistent patient follow-up.
- Traditional manual follow-up methods can be time-consuming.
- Exploring innovative technologies like AI is crucial for improving healthcare efficiency.
Purpose of the Study:
- To evaluate the reliability and efficiency of artificial intelligence (AI) telephone follow-up for hypertension management.
- To compare AI-driven follow-up with traditional manual follow-up in terms of time and data consistency.
Main Methods:
- A reliability study involving 350 hypertensive patients was conducted.
- Patients received follow-up via AI telephone and human calls within a 3-7 day interval.
- Paired t-tests and Cohen's Kappa coefficient were used for statistical analysis.
Main Results:
- AI calls were significantly shorter (4.15 min) than manual calls (5.24 min).
- Moderate to substantial consistency was observed for symptoms (κ: .465-.624) and lifestyle factors (κ: .402-.645).
- High consistency was found for smoking status (κ: .915), with fair to moderate consistency for complications (κ: .349) and medication adherence (κ: .484).
Conclusions:
- AI telephone follow-up is a reliable and time-efficient alternative for hypertension management.
- The AI system demonstrates good consistency across various health parameters, supporting its clinical utility.
- AI technology offers a promising solution for enhancing the efficiency of chronic disease management programs.
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