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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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