Using Health Data to Improve Universal Health Coverage Case Studies

Using the experiences of South Korea as an example, these case studies look at country experiences of and challenges to using health data to improve universal health coverage policies.

In particular, three case studies examine the use of data to:

  • Segment and identify people at risk of chronic disease, shape new care models, reduce care variation, and improve outcomes with evidencebased treatment.
  • Support the capability and stability of financial systems.
  • Improve operational efficiency, analyze health care services, and understand the cost of services.

These case studies are a product of the JLN's Data Foundations Collaborative, which has convened practitioners from ten countries since 2017 to share experiences and co-develop insights into effective data governance and use across three areas: chronic disease management, financial management, and health insurance claims data.

Practitioners from Ghana, India, Indonesia, Kenya, Malaysia, Nigeria, Peru, the Philippines, South Korea, and Sudan participated in the joint learning process and co-developed these case studies with support from PATH and Wipro Ltd.

Click on the button below to download the case studies.

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