When the Message Arrives — But Never Reaches

The Comprehension Gap in AI Health Communication

Artificial intelligence now enables health systems to translate and deliver medical messages to billions of people instantly. Yet delivery does not guarantee comprehension, trust, or action.

This essay explores what may be called the Comprehension Gap — the space between a message being delivered and a person deciding to act upon it.

Through three narrative case studies in Belgium, the United Kingdom, and Tanzania, the essay illustrates how health communication systems frequently measure delivery while failing to measure understanding.

It introduces the Awareness365 model, which uses governance councils and Cultural Language Envoys to ensure that health messages are authored from within communities before deployment.

The argument presented is that global health must move from measuring delivery to governing understanding if digital health communication is to save lives at scale.