Digitalisation of medicine in LMICs (sub-Saharan Africa): enablers, barriers, and funding strategies for sustainable health systems

For the vast majority of low- and middle-income countries (LMICs), universal health coverage is very difficult to achieve for a variety of reasons. Digitalisation of healthcare is promoted as a way to expand access and strengthen health systems, yet in many LMICs, including those in sub-Saharan Africa, digital initiatives remain fragmented, poorly coordinated, and underfunded. This article explores how digital health technologies can support outbreak preparedness, routine service delivery, and data-driven decision-making, and outlines the ethical, legal, social, and financial considerations that shape their sustainable adoption. Using real-world examples such as digital tools for infectious disease surveillance, biobanking and data governance models, and national digital health strategies, it highlights both the potential of digitalisation and the risk of widening inequities when infrastructure, regulation, and local ownership are weak. The article argues that digital health investments must align with country priorities, be embedded in robust governance frameworks, and be supported by long-term financing that balances public, private, and donor contributions to enable more coordinated and equitable implementation in LMICs.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2026-02-27
DOI
https://doi.org/10.3389/fpubh.2026.1710904
Primary Topic
Global Health and Surgery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalisation of medicine in LMICs (sub-Saharan Africa): enablers, barriers, and funding strategies for sustainable health systems

Sandra Nanyonga, Peter Blanshard, Daniel Simeon-Dubach, Lisa Maria Crevola
Frontiers in Public Health
Global Health and Surgery
article

Digitalisation of medicine in LMICs (sub-Saharan Africa): enablers, barriers, and funding strategies for sustainable health systems

Sandra Nanyonga, Peter Blanshard, Daniel Simeon-Dubach, Lisa Maria Crevola
article en

Abstract

For the vast majority of low- and middle-income countries (LMICs), universal health coverage is very difficult to achieve for a variety of reasons. Digitalisation of healthcare is promoted as a way to expand access and strengthen health systems, yet in many LMICs, including those in sub-Saharan Africa, digital initiatives remain fragmented, poorly coordinated, and underfunded. This article explores how digital health technologies can support outbreak preparedness, routine service delivery, and data-driven decision-making, and outlines the ethical, legal, social, and financial considerations that shape their sustainable adoption. Using real-world examples such as digital tools for infectious disease surveillance, biobanking and data governance models, and national digital health strategies, it highlights both the potential of digitalisation and the risk of widening inequities when infrastructure, regulation, and local ownership are weak. The article argues that digital health investments must align with country priorities, be embedded in robust governance frameworks, and be supported by long-term financing that balances public, private, and donor contributions to enable more coordinated and equitable implementation in LMICs.

Frontiers in Public HealthVol. 14
Université Côte d'Azur (FR), BioBank Japan (JP), Observatoire de la Côte d’Azur (FR), Johnson & Johnson (Israel) (IL)
Partnerships for the goals
Openalex Percentile: Top 44%
Global Health and Surgery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.