# Double oncology capacity in low-resource settings with task-shifting and AI decision support

Source: https://onco.cc/ideas/idea-moon-task-shifting-ai-oncology-capacity/  
OnCo record `idea-moon-task-shifting-ai-oncology-capacity` (Idea). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)"; commercial use needs a licence.

## TL;DR

Many countries have one oncologist for millions of people. Train nurses and general doctors to deliver protocolised cancer care with software checks and remote specialist oversight.

## Summary

Workforce shortages, not drugs, cap cancer treatment in much of Africa and South Asia. Task-shifting with decision support scaled HIV treatment; oncology has pilots (nurse-led chemotherapy, Botswana and Rwanda models, tele-oncology networks). The proposal is a package: protocol-driven regimens for the commonest cancers, a decision-support and safety-check tool validated for use by non-specialists, remote tumour board review, structured training and certification, and outcome registries to monitor safety and quality.

## Fields

- Kind: Idea
- Last checked: 2026-09-08
- Hypothesis: Task-shifted, AI-supported care delivers guideline-concordant treatment with toxicity and survival outcomes non-inferior to specialist-delivered care and treats twice as many patients per oncologist.
- Rationale: Most cancer care is protocolised and the risk lies in omissions and dose errors, which software and remote oversight catch reliably.
- Proposed test: Stepped-wedge implementation in district hospitals in two countries with treatment completion, protocol adherence, severe toxicity and one-year survival as endpoints compared with specialist centres.
- Maturity: early-clinical
- Actor: policy

## Sources

- Bottleneck evidence (Not enough oncologists, nurses, pathologists, physicists): Yang et al., Projected supply of and demand for oncologists and radiation oncologists through 2025 (JOP 2014): https://doi.org/10.1200/JOP.2013.001319

## Connected records

- institutions: [Tata Memorial Centre](https://onco.cc/institutions/tata-memorial/)
- bottlenecks: [AI that is built but not validated or deployed](https://onco.cc/bottlenecks/b-ai-validation/), [Most of the world has almost no cancer care](https://onco.cc/bottlenecks/b-global-access/), [Not enough oncologists, nurses, pathologists, physicists](https://onco.cc/bottlenecks/b-workforce/)
- key papers: [Projected supply of and demand for oncologists and radiation oncologists through 2025: an aging, better-insured population will result in shortage](https://onco.cc/key-papers/paper-yang-j-oncol-pract/)

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