1. Health Data Sciences and Cardiovascular Diseases in South Asia: Innovations and Challenges in Digital Health.
- Author
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Gupta K, Junaid V, Qureshi MA, Gupta A, Sheikh S, Dalakoti M, Virani SS, and Khoja A
- Subjects
- Humans, Asia epidemiology, Data Science methods, Telemedicine, Big Data, Digital Health, Asia, Southern, Cardiovascular Diseases therapy, Cardiovascular Diseases epidemiology
- Abstract
Purpose of Review: Health data sciences can help mitigate high burden of cardiovascular disease (CVD) management in South Asia by increasing availability and affordability of healthcare services. This review explores the current landscape, challenges, and strategies for leveraging digital health technologies to improve CVD outcomes in the region., Recent Findings: Several South Asian countries are implementing national digital health strategies that aim to provide unique health account numbers for patients, creating longitudinal digital health records while others aim to digitize healthcare services and improve health outcomes. Significant challenges impede progress, including lack of interoperability, inadequate training of healthcare workers, cultural barriers, and data privacy concerns. Leveraging digital health for CVD management involves using big data for early detection, employing artificial intelligence for diagnostics, and integrating multiomics data for health insights. Addressing these challenges through policy frameworks, capacity building, and international cooperation is crucial for improving CVD outcomes in region., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2024
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