Africa’s Digital Health Revolution: The Digital Fit-Viability Model to Move From Innovation to Scaled Implementation
Afra Jiwa, Antony Ngatia, Karim Benali, Niclas Boehmer, Sangu Delle, Patrick Emedom-Nnamdi, Chris Opoku Fofie, Christine M O’Brien, Tobi Olatunji, Kate Obayabgona, Milind Tambe, Richard Ribon Fletcher, Adeline Adwoa Boatin, Bethany Hedt-Gauthier

TL;DR
This paper introduces a model to help scale digital health tools in sub-Saharan Africa by addressing barriers to implementation.
Contribution
The paper presents the digital fit/viability model, a new framework for understanding digital health implementation challenges in sub-Saharan Africa.
Findings
Digital health tools in sub-Saharan Africa face significant implementation barriers.
The model identifies facilitators and barriers to integrated digital health implementation.
Tailored solutions are needed to address local health system challenges.
Abstract
Digital innovations hold immense potential to transform health care delivery, particularly in sub-Saharan Africa, where financial, geographical, and infrastructural constraints continue to hinder progress toward universal health care delivery. Although a growing health tech sector offers creative solutions, few digital health interventions reach scaled implementation. In this paper, we present the digital fit/viability model—an adapted determinant framework to describe facilitators and barriers to moving from digital tools to integrated digital health implementation. We then use this model to describe the specific challenges and recommended solutions when developing digital health tools for health systems in sub-Saharan Africa.
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Mobile Health and mHealth Applications · Artificial Intelligence in Healthcare
