Frontlines of Health


Ada Health

An AI-powered digital decision support platform for community health workers

Team Lead

Hila Azadzoy

Hila Azadzoy

Dear Wendy, gladly! This particular adaptation of Ada focuses on CHW and drug dispensary workflow, which we acknowledge can differ between regions. Ada takes a human-centered design approach to ensure effective adoption. Through partnerships with CHW organizations and local governmental institutions (e.g. pharmacy councils charged with training drug dispensers) we will learn the specific workflow needs of the CHW and drug dispensaries and most appropriate referrals in that setting. For example, from preliminary conversations with CHW organizations, we know that some CHWs can only act upon certain medical conditions, and are bound to strict organizational protocols. Many CHWs also already make use of patient management systems. In such cases, Ada could be partially or fully integrated into pre-existing technology while mirroring relevant protocols. Additionally, we will develop a new feature that enables the matching and tracking of patient referrals from a) CHWs to drugshop dispensaries [for minor illnesses], b) CHWs to health facilities, and c) drug dispensaries to health facilities, by assigning a unique anonymous identifier through which individual patient data can be retrieved at each point of care (i.e. CHW, drug shop dispensaries, health facility). This will create a unique and comprehensive e-record for each patient, containing demographic and clinical data, which will enable tracking of the patient through the healthcare system: an understanding of when and where he or she has presented (or not presented) for care, and of the referral and diagnosis decisions made at each point of care. Unique identifiers could be assigned to patients on individual ID cards or by scanning a wristband QR code worn by the patient. Furthermore, based on our research of the most impactful rapid diagnostic tests in combination with Ada, we are able to expand diagnostic capabilities. This would result in a feature that, based on Ada’s symptom assessment, recommends types of rapid diagnostic tests to the CHWs at the point of care. Though Ada’s simple interface and linguistic capabilities make it easy to use across the world, we will also rely on our local partners to assist us with user training for effective adoption, to ensure Ada-AI is fully taken advantage of.

Wendy Wang

Can you provide more specific details on what the expansion of Ada into drug dispensaries and among CHWs will look like. How do you propose to get these actors to adapt this solution? It might help the judges review and understand your solution.

Also consider describing the intended features of this “adapted” version of Ada. How will you adopt this solution to be specific for use among CHWs and drug dispensaries?

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