Notice B

Promoting the collaborative development of proposals for investments in digital health global goods

Digital Square supports investments in digital health global goods, which are tools that are adaptable to different countries and contexts. Mature digital health global good software is software that is (usually) Free and Open Source (FOSS), is supported by a strong community, has a clear governance structure, is funded by multiple sources, has been deployed at significant scale, is used across multiple countries, has demonstrated effectiveness, is designed to be interoperable, and is an emergent standard application.

We are using an open proposal process. Your concept notes and proposals will be publicly posted, giving you and other submitters the opportunity to find collaborators and provide and receive feedback from your peers.

Proposals (62 total)

Displaying 6 - 10

Notice B: Capacity development for locally-driven, locally-led development / Shifting the locus of change away from the project cycle and into the community

Primary Author: Ann Hendrix-Jenkins
Application Status: 
Not Approved

Around the world, civil society is caught in a whirlwind of change. Entities ranging from national policy advocacy organizations to humble
community groups are being buffeted by increasing restrictions and government oversight. They are pulled in different directions by donors
who arrive with already finalized theories of change, predetermined goals, and workplans. Also, donors require proof of “compliance” and often
onerous reporting. Competition for donor grants pits organizations against each other, which inhibits shared learning, coordination, or

Notice B: Child Growth Monitor - A game-changing app to detect malnutrition

Primary Author: Jochen Moninger
Application Status: 
Approved – Contingent on Funding

The quick and accurate detection of malnutrition, especially with children under 5, saves lives!
The Child Growth Monitor is a fool-proof solution based on a mobile app using augmented reality in combination with AI/machine learning.
The mobile app scans children under 5 in 3D point clouds and video data from children to extract anthropometric measurements like height,
head-circumference, middle-upper-arm-circumference, body volume / body composition / weight to determine height and weight and

Notice B: Community Health Information for all Programmes - Online (CHIPO)

Primary Author: Chipo Kanjo
Application Status: 
Out of Scope

In developing countries, community health workers (CHW) are the main health service providers. Although the CHWs are the lowest cadre,
they have many tasks compared to other cadres. An integrated system supporting all tasks of CHWs is likely to improve their work and health
services. Currently, a stream of mHealth apps exist, funded by donors, developed by NGOs and used also by CHWs in most developing
countries. However, each app concerns one health programme, promoting fragmentation, and consequently
the CHW has to use many apps/phones,

Notice B: Creating Digital Access for Health for Migrants

Application Status: 
Out of Scope

Migration from one country to another has been in the world for years. People from poor and emerging countries travel to other developed
countries in search of better jobs and earning. Not only the opportunity seekers but there are also many population around the world who are
forced to cross borders due to war, calamities and other problems and issues. Whatever the reason is they are all immigrants to the new
These migrant people living in different countries often struggle with getting their human rights covered including the basic health access. In

Notice B: Data Processing Pipeline for Field-Collected Data

Primary Author: Dave Henry
Application Status: 
Not Approved

The initial challenges of mobile field data collection – offline operation and reliable transport of media-rich, programmable forms – have been
solved. Tools such as ODK make it possible for thousands of organizations to conduct field surveys, to gain insight into population health and
to plan for effective interventions. eHealth Africa’s proposal seeks to improve upon Open Data Kit (ODK 1) by addressing the challenges that
occur after initial collection: