Better Evidence

Supporting health workers to make the best decisions when and where it matters most

With more than 325,000 clinicians, our global community shapes everything we do. Regular feedback and firsthand insights from those working on the front lines guide the design and ongoing improvement of digital tools, ensuring they meet the needs of health workers in diverse and challenging settings. This continuous engagement with our users allows us to deliver the most innovative, evidence-based solutions, ultimately enhancing patient care and strengthening health systems worldwide.

Since 2009, we have worked with UpToDate, a leading clinical decision support tool, and other digital tool providers to facilitate free access to current and future health workers in low-resource settings around the world. UpToDate allows users to easily search and access the latest information to make better care decisions for the patients and populations they treat, with research backing its positive impact on care. 

To ensure we continue meeting the evolving needs of clinicians, the Global Health Delivery Project surveyed our community on the role of artificial intelligence in clinical practice — and is actively exploring new digital tools to expand access to the most innovative, evidence-based solutions. More than 840 clinicians across 90+ countries responded. We found:

• Clinicians want to learn. While fewer than half currently use generative AI tools routinely, more than 93% want to learn how AI can benefit their clinical practice, and an equal share want trusted recommendations to guide their choices.

• Optimism is high. 75% of respondents believe AI will positively impact time to diagnosis, and clinicians in our global community are more hopeful about AI’s role than their US counterparts.
• Real barriers remain. Only 68% report reliable internet access, and just 20% use web-based medical records. These infrastructure gaps must be addressed for AI to reach its potential in low-resource settings.
• Trust and training are essential. 56% cite a lack of trust in AI accuracy, and 42% identify inadequate training as a key barrier to adoption.

This research underscores what we hear consistently from our community: clinicians on the frontlines are eager for tools that work in their context, backed by trusted guidance and built with their input. Engaging clinicians early — in design, not just deployment — is critical to ensuring AI serves health workers and patients equitably around the world.