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IDinsight

IDinsight

Submitted by:  
IDinsight

Location: 
Ethiopia

Partners: 
Last Mile Health
Ministry of Health of Ethiopia

About the Solution

Partnering with Last Mile Health and Ethiopia’s Ministry of Health, IDinsight focuses on an AI-powered call center that 40,000+ Health Extension Workers (HEWs) can contact for real-time medical guidance on complex cases. IDinsight’s AI solution will include a case management system and a question-answering service based on comprehensive Ministry of Health (MoH) guidelines that will provide real-time support to call center agents who will further relay critical information to HEWs via phone. Call center agents, as a result, will learn new AI skills, leading to more efficient and effective work processes, and new career pathways.

Building national scale AI solutions requires a trusted partnership with the government, in addition to thoughtful engineering and design that scales. This challenge has allowed us to build strong foundations in both areas. It has also deepened the partnership between IDinsight and Last Mile Health. We feel confident building for more ambitious use cases and unlocking even greater impact.

Sid Ravinutula Sid Ravinutula Chief Data Scientist IDinsight

AI that Works for All:

AI to Accelerate Inclusion Challenge Impact Report

IDinsight seeks to improve health outcomes for more than one million Ethiopians who are underserved and living in remote areas with AI-assisted support and intervention. Community members in these underserved areas are able to receive timely, accurate health guidance without out-of-pocket costs related to transportation, lodging, and lost wages.

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idinsight

Outcome

20 call center agents provided 2,095 clinical case consultations to 408 HEWs and 461 individuals were trained in AI skills, with 5 regions supported.

Meeting Milestones

  1. 1

    Developed an AI solution, the HEP Assist tool, that consolidates more than 100 training manuals, service delivery guidelines, and chart booklet documents to empower Health Extension Workers.

    AI models.

  2. 2

    Launched a six-month pilot implementation in 10 woredas, or administrative districts in Ethiopia, which supported 2,095 clinical case consultations.

  3. 3

    Expanded HEP Assist access and provided training in AI tools to more than 400 Health Extension Workers. The vast majority—90 percent—reported that the tool made their work easier and more efficient.

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Meet the AI2AI Challenge Awardees

Each of the Challenge awardees is using innovative approaches that tackle very different aspects of inclusive economic growth, underscoring the intersectional nature and complexity of these pressing social problems.

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