TY - JOUR
T1 - Health Data Sciences and Cardiovascular Diseases in South Asia
T2 - Innovations and Challenges in Digital Health
AU - Gupta, Kartik
AU - Junaid, Vashma
AU - Qureshi, Muhammad Ahmad
AU - Gupta, Abhishek
AU - Sheikh, Sana
AU - Dalakoti, Mayank
AU - Virani, Salim S.
AU - Khoja, Adeel
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024
Y1 - 2024
N2 - 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. Summary: 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.
AB - 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. Summary: 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.
KW - Cardiovascular disease
KW - Digital health
KW - Electronic medical records
KW - Health data sciences
KW - South Asia
UR - http://www.scopus.com/inward/record.url?scp=85203276810&partnerID=8YFLogxK
U2 - 10.1007/s11883-024-01233-3
DO - 10.1007/s11883-024-01233-3
M3 - Review article
AN - SCOPUS:85203276810
SN - 1523-3804
JO - Current Atherosclerosis Reports
JF - Current Atherosclerosis Reports
ER -
