Application of AI in Hypertension Health Education: Scoping Review
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By
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Haoran Chen
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Shenglan Xiao
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Tong Wan
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Gui Li
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Yanhong Peng
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Zhimin Wang
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July 15, 2026
Clinical Scorecard: Utilization of Artificial Intelligence in Educational Strategies for Hypertension Management: A Scoping Review
At a Glance
| Category | Detail |
|---|
| Condition | Hypertension |
| Key Mechanisms | Artificial Intelligence applications in health education and management. |
| Target Population | Patients with hypertension. |
| Care Setting | Clinical practice and patient education. |
Key Highlights
- Hypertension is a major global health challenge contributing to morbidity and mortality.
- Effective interventions are needed to manage hypertension and improve patient self-management skills.
- AI technologies like NLP and ML can enhance personalized health education for hypertension.
Guideline-Based Recommendations
Diagnosis
Management
- Implement targeted health education to improve self-management skills.
Monitoring & Follow-up
Risks
- Poor treatment adherence and inappropriate medication regimens.
Patient & Prescribing Data
Individuals diagnosed with hypertension.
AI can provide personalized content and dynamic feedback to improve adherence.
Clinical Best Practices
- Utilize AI tools to enhance patient education and engagement.
- Focus on personalized health education strategies.
Related Resources & Content
