Digital Oncology Frameworks in Africa: Architectural Patterns and Maturity Review
by Wasswa William·Updated 11d ago
600.3 KB1files
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Description
53 digital oncology frameworks across Africa were identified and analyzed in a scoping review by Wasswa William, published in May 2026. The review maps frameworks including cancer registries, hospital systems, tele-oncology, mHealth, information hubs, and genomic systems, characterizing their architecture, digital maturity, and AI integration. It concludes that systems are architecturally diverse but fragmented, highlighting interoperability gaps and data equity implications.
Use Cases
Benchmarking digital maturity levels of cancer information systems based on the described six-category classification.
Analyzing trade-offs between vendor-integrated performance and open-source interoperability for hospital oncology information systems.
Designing scalable tele-oncology platforms based on the hub-and-spoke architectural pattern identified in the review.
Assessing data equity deficits arising from structural fragmentation and geographic concentration of high-maturity systems.
Strengths
Systematic scoping review methodology following PRISMA-ScR and JBI guidelines.
Analysis of 53 distinct frameworks across six clearly defined categories.
Explicit focus on health data equity implications of architectural choices.
Limitations
The dataset is a 600.3 KB PDF document, not a structured data file; analysis requires manual extraction.
Column-level documentation is absent; field semantics must be inferred from the review text.
Row count is unknown, which may limit suitability assessment for quantitative analysis.
Provenance
Source
Scoping review by Wasswa William, sourced from figshare.
Collection Method
Systematic literature search 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
License is CC-BY-4.0, permitting sharing and adaptation with attribution. The primary content is a review article, not a structured dataset.