Utilization of Artificial Intelligence in Educational Strategies for Hypertension Management: A Scoping Review
By
Haoran Chen
Shenglan Xiao
Tong Wan
Gui Li
Yanhong Peng
Zhimin Wang
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
