AI-Powered Solutions for Health Visit Follow-Ups: Enhancing Care for Vulnerable Populations

This impact evaluation will examine whether and how AI-powered tools improve treatment adherence and ongoing engagement with healthcare, especially among vulnerable users and with a focus on non-communicable diseases, such as diabetes and hypertension. Specifically, the project will develop and implement an individual-level randomized controlled trial (RCT) to evaluate different models of follow-up support to patients.

Project Detail

Country

Brazil

Project Number

BR-T1685

Approval Date

Project Status

Preparation

Project Type

Technical Cooperation

Sector

HEALTH

Subsector

HEALTH SERVICES

Lending Instrument

Lending Instrument Code

Modality

Facility Type

Environmental and Social Impact Category (ESIC)

Total Cost

USD 240,000.00

Country Counterpart Financing

Original Amount Approved

USD 120,000.00

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Preparation Phase

https://www.iadb.org/document.cfm?id=EZIDB000369-1433371141-4

TC Abstract

BR-T1685 TC Abstract.pdf

Sep. 03, 2025

English

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