Bridging the Gap Between Cardiology and Technology: A Theoretical Lens on the Digital Transformation of Heart Disease Care
Keywords:
Coronary Heart Disease, Machine Learning, ClassificationAbstract
The intersection of technology and medicine has brought forward a transformative shift in the diagnosis, prevention, and management of heart disease. As cardiovascular disease (CVD) continues to account for a large proportion of global mortality, the demand for smarter, faster, and more accessible healthcare solutions has intensified. This paper examines the evolution of cardiovascular care through the lens of theoretical models, particularly Diffusion of Innovation Theory, the Technology Acceptance Model (TAM), and Human-Centered Design principles. By applying these theories, we identify how digital health innovations such as wearable sensors, artificial intelligence (AI), and mobile health platforms are adopted, accepted, and effectively integrated into cardiac care pathways. The study also reflects on barriers, equity issues, and future implications for policy and patient engagement.
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Copyright (c) 2025 MD Rahat Hossain (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.