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Application of Artificial Intelligence–Driven Telecare Interventions in Patients with Hypertension: A Scoping Review

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This project is a scoping review examining the application of artificial intelligence-driven remote nursing interventions in patients with hypertension. The purpose of this review is to map and summarize the available evidence on how AI technologies have been incorporated into remote nursing care for hypertension management, what types of interventions have been used, and what outcomes have been reported. Hypertension is a major global health problem and a leading risk factor for cardiovascular disease. Although effective treatments exist, many patients continue to have poor blood pressure control due to barriers in self-management, limited access to continuous care, and low adherence to treatment. At the same time, advances in artificial intelligence and digital health have created new possibilities for remote nursing interventions, including telehealth, telemonitoring, mobile health, and other technology-supported care models. This scoping review will identify and map the characteristics of the interventions, including the AI tools used, the nursing roles involved, the delivery modes, and the patient populations targeted. It will also summarize the reported outcomes, such as blood pressure control, medication adherence, self-management, patient engagement, and feasibility or acceptability of the interventions. Because this is a scoping review, the study is intended to provide a broad overview of the field rather than to assess intervention effectiveness in a narrow sense. The expected outcome of this project is a comprehensive synthesis of the current literature that highlights the range of AI-driven remote nursing interventions for hypertension, identifies gaps in the evidence, and informs future research and clinical practice. The findings may support the development of more effective, scalable, and patient-centered nursing interventions for hypertension management.

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