Division of Cardiovascular Diseases, Henry Ford Hospital, Detroit, MI, USA.
Department of Medicine, The Aga Khan University, Karachi, 74800, Pakistan.
Curr Atheroscler Rep. 2024 Nov;26(11):639-648. doi: 10.1007/s11883-024-01233-3. Epub 2024 Sep 6.
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.
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.
综述目的：通过提高医疗服务的可及性和可负担性，健康数据科学有助于减轻南亚心血管疾病（CVD）管理的高负担。本综述探讨了利用数字健康技术改善该地区 CVD 结局的现状、挑战和策略。
最近发现：一些南亚国家正在实施国家数字健康战略，旨在为患者提供独特的健康账号，创建纵向数字健康记录，而另一些国家则旨在数字化医疗服务并改善健康结果。缺乏互操作性、医疗保健工作者培训不足、文化障碍和数据隐私问题等重大挑战阻碍了进展。利用数字健康管理 CVD 涉及使用大数据进行早期检测、使用人工智能进行诊断以及整合多组学数据以获得健康见解。通过政策框架、能力建设和国际合作来应对这些挑战，对于改善该地区的 CVD 结局至关重要。
