HealthLearn builds a mobile app for health workers (nurses, midwives, doctors, community health workers) in Nigeria und Uganda. Health workers use it to learn clinical best practices. This leads to better outcomes for patients.
I’m personally very excited by this. Health workers in developing countries often have few training resources available. There are several clinical practices that can improve patient outcomes while being easy to implement (such as initiating breastfeeding immediately after birth). These are not as widely used as we would like.
HealthLearn uses technology as a way to faithfully scale the intervention to thousands of health workers. At this point, AI does not play a significant role in the learning process yet. Courses are manually designed. This was important to get started quickly, but also to get approval from government health agencies and professional organizations such as nursing councils.
The impact model that I’ve linked to above estimates that the approach has been cost-effective so far, and could become better with scale.
(disclaimer: I’m one of the software engineers building the app)
EA charities can also combine education and global health, like https://healthlearn.org/blog/updated-impact-model
HealthLearn builds a mobile app for health workers (nurses, midwives, doctors, community health workers) in Nigeria und Uganda. Health workers use it to learn clinical best practices. This leads to better outcomes for patients.
I’m personally very excited by this. Health workers in developing countries often have few training resources available. There are several clinical practices that can improve patient outcomes while being easy to implement (such as initiating breastfeeding immediately after birth). These are not as widely used as we would like.
HealthLearn uses technology as a way to faithfully scale the intervention to thousands of health workers. At this point, AI does not play a significant role in the learning process yet. Courses are manually designed. This was important to get started quickly, but also to get approval from government health agencies and professional organizations such as nursing councils.
The impact model that I’ve linked to above estimates that the approach has been cost-effective so far, and could become better with scale.
(disclaimer: I’m one of the software engineers building the app)