Strengthening Frontline Health Systems with Data Science and AI

In 2018, DataKind launched a new program to tackle common problems within the frontline health systems ecosystem through the creation of scalable data science tools.

One high potential area of opportunity is to strengthen trust in frontline healthworker-generated data by identifying problematic data in leading mHealth platforms upstream. Workstream 1 (WS1) is a continuation of this data integrity tooling.

Due to the commonality of the problem the output of WS 1 – production-level data integrity assuring software – is both attainable and a realization of creating sector-impacting tools.

In doing so, DataKind will also have developed a roadmap for integration of this tool with commercial, NGO, and individual health systems.

Workstream 2 is an extension of DataKind’s exploratory work, wherein we co-create a prototype tool with a local organization to provide meaningful learnings for a sector.

Furthermore, as the Wellcome Trust embarks on scoping projects with the African Population Cohorts Consortium (APCC) we expect there to be pieces of digital infrastructure and software tools that are necessary to realize the underlying ambition of the APCC.

Our expert data science teams would be glad to help shape a data science roadmap and complement the suggestions made by the APCC scoping team.