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Volume-12 Number-2, 2025 / Original Article

Re-Imagining Chronic Care: Artificial Intelligence Facilitated Collaborative Decision Making for Diabetes and Hypertension

Author:

Narava Suvarna Kumari
Apollo Institute of Medical Sciences and Research, Hyderabad, India

Abstract:

Background: Diabetes and hypertension are chronic diseases that pose serious healthcare challenges because of their chronic nature and ongoing need for care. Chronic care has traditionally been non-personalized and not supported by real-time decision making. Artificial intelligence (AI) presents new possibilities by allowing collaborative decision-making, enhanced predictive accuracy, and patient engagement.
Objective: This investigation seeks to reimagine chronic care through assessing the role that collaborative decision-making facilitated by AI may play in diabetes and hypertension management, highlighting patient outcome improvement, complication prevention, and the support of healthcare workers in resource-scarce environments.
Methods: This study is grounded on secondary sources of data, such as peer-reviewed journals, systematic reviews, and evidence from international models of healthcare. The research critically assesses current literature on AI use in the management of chronic diseases, and synthesizes evidence on its efficacy for clinical decision-making, risk assessment, and patient tracking. Principal challenges like ethical implications, data privacy, integration into workflow, and digital equity are also discussed.
Results: Findings indicate that decision-making facilitated through AI has a profound impact on clinical efficiency as it facilitates timely intervention, and tailored treatment approaches. Evidence supports the contention that AI contributes to enhanced patient engagement by facilitating real-time monitoring tools and predictive analytics, especially in glycemic control and blood pressure management. Barriers to these advancements include insufficient algorithmic transparency, limited infrastructure, and inequities in access, among others.
Conclusion: AI can revolutionize management of chronic care by enabling greater cooperation between patients and healthcare professionals. Although there is evidence that it benefits satisfaction, compliance, and outcomes, effective implementation will involve overcoming ethical, technical, and equity challenges. Future efforts should involve incorporating AI into regular care models with adequate transparency, accountability, and inclusiveness.

Keywords:

Artificial intelligence, Diabetes mellitus, Chronic disease management, Healthcare technology, Remote patient monitoring.

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View in DOI 10.24041/ejmr.2025.18