We Must Invest in Locally-owned Health Data Systems
Over the past two months, major funding cuts have created profound disruptions across global health programs, putting local and global health at risk.
According...
Are You Harnessing Machine Learning for Diabetes Prediction in LMICs?
Diabetes is a global issue. 537 million people have diabetes in the world – 24 million people on the African continent today and 55 million by 2045. Anywhere...
5 Key Million-Dollar Questions for Artificial Intelligence in Global Health
Over the last year, the Audere team found multiple insights from our work deploying practical artificial intelligence solutions in low- and middle-income countries...
Mature Electronic Health Record Implementations Can Reduce Patient Mortality
In the past two decades, healthcare systems around the world have been on a transformative journey, marked by the increasing adoption of Electronic Medical Records...
AI4Health: A Masterclass in Wasting Money We Don’t Have
What do tuberculosis and breast cancer have in common? We’ve spent decades paying for artificial intelligence-based solutions to solve both problems without any...
Introducing USAID Digital Health Position Paper: A Strategic Vision for a Healthier World
In an era where digital technology permeates nearly every aspect of our lives, USAID’s 2024-2029 Digital Health Position Paper emerges as a transformative initiative....
Apply Now: $100,000 for Your African Digital Health Startup Company
The digital health landscape on the African continent presents both challenges and opportunities, with a projected $11 billion healthcare technology market by 2025....
How to Fix the Medical Equipment Breakdown Crisis in LMICs
In many low-resource countries, hospitals and health clinics can’t provide sufficient patient care because up to 40% of basic medical equipment is absent or broken,...
10 Examples of Generative AI Solutions for 6 Global Health Challenges
Generative artificial intelligence is poised to transform healthcare by revolutionizing clinical decision-making and improving patient outcomes.
This technology...
2 Ways to Improve CHW Data Collection at Health Facilities
The mixed-methods assessment of community health data in ‘Do you trust those data?’—a mixed-methods study assessing the quality of data reported by community...