Can we design the next generation of digital health communication programs by leveraging the power of artificial intelligence to segment target audiences, bolster impact and deliver differentiated services? A machine learning analysis of survey data from rural India
Examining the reach and exposure of a mobile phone-based training programme for frontline health workers (ASHAs) in 13 states across India
Optimising the reach of mobile health messaging programmes: an analysis of system generated data for the Kilkari programme across 13 states in India
Mobile Technology for Community Health in Ghana: what happens when technical functionality threatens the effectiveness of digital health programs?
Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
SMS feedback system as a quality assurance mechanism: experience from a household survey in rural India
Using Machine Learning to Optimize the Quality of Survey Data: Protocol for a Use Case in India
A practice briefer on Improving Survey Data Quality using AI: Bihar Case Study
Use of Big Data and Machine Learning Methods in the Monitoring and Evaluation of Digital Health Programs in India: An Exploratory Protocol
Optimising mHealth helpdesk responsiveness in South Africa: towards automated message triage
Copyright © 2025 Evidence for Digital Transformation - All Rights Reserved.
Powered by
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.
