Challenges Researchers Face When Integrating Global Health APIs
Methodology
Type of Study
Sample Size
Sample Size
Industry
Segment
Sub-Segment
Target Audience
the challenge
Global disease surveillance relies heavily on data flow—but for many medical researchers, integrating global health APIs is complex, inconsistent, and time-consuming. The question is no longer about availability, but usability.
Our Approach
We ran a quantitative CAWI study with 1,230 medical researchers in the USA, focusing on their experience accessing and integrating global health APIs for epidemiological tracking and disease prevention.
Key Insights
While researchers see high value in real-time API data, inconsistent formats, lack of documentation, and regional data silos pose significant barriers.
Many waste time cleaning or aligning datasets, which slows response times during health crises. Ease of integration and transparency matter more than the volume of data provided.
Impact
The findings are guiding API providers and public health platforms to prioritize standardization, simplify onboarding, and ensure consistent support across geographies. The goal is to shift from access to action—fast.
Conclusion
Access to data means little without usability. Integration simplicity will decide the future of global health research.