Digital Oncology Frameworks in Africa: A Scoping Review of Architectural Patterns

53 digital oncology frameworks across Africa were systematically mapped in a scoping review. The review, conducted by Wasswa William and published on figshare in 2026, classifies frameworks into six categories and analyzes their architecture, digital maturity, and AI integration. It concludes that structural fragmentation and interoperability gaps create a health data equity deficit.

Use Cases

• Benchmarking digital maturity levels of cancer information systems based on the six framework categories described.
• Designing interoperability-first digital health architectures based on the analysis of architectural patterns and data flows.
• Identifying gaps in AI integration for oncology platforms based on the reported limited AI use across categories.
• Informing health data equity strategies based on the review's findings on geographic concentration and structural exclusion.

Strengths

• Systematically maps 53 distinct digital oncology frameworks.
• Classifies frameworks into six detailed categories, including population-based registries and genomic systems.
• Explicitly analyzes health data equity implications of architectural choices.

Limitations

• The dataset is a 412.9 KB PDF review document, not a primary data file with rows and columns.
• Column-level documentation is absent; field semantics must be inferred from the review text.
• Row count is unknown, which may limit suitability assessment for direct ML training.

Provenance

Source

Scoping review conducted by Wasswa William, published on figshare.

Collection Method

Scoping review following Arksey and O’Malley and Joanna Briggs Institute guidelines, with searches across PubMed, ScienceDirect, Web of Science, IEEE Xplore, and African Journals Online.

Freshness

Last updated 2026-05-28 06:16:32; freshness should be verified.

Geography

Africa