Health Data Sciences and Cardiovascular Diseases in South Asia: Innovations and Challenges in Digital Health

Curr Atheroscler Rep. 2024 Nov;26(11):639-648. doi: 10.1007/s11883-024-01233-3. Epub 2024 Sep 6.

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.

Keywords: Cardiovascular disease; Digital health; Electronic medical records; Health data sciences; South Asia.

Publication types

  • Review

MeSH terms

  • Asia / epidemiology
  • Asia, Southern
  • Big Data
  • Cardiovascular Diseases* / epidemiology
  • Cardiovascular Diseases* / therapy
  • Data Science / methods
  • Digital Health
  • Humans
  • Telemedicine