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Round-the-clock remote treatment-planning hubs for clinics without physicists

Hospitals without enough physicists could upload scans to a shared planning centre, where AI drafts the treatment plan and remote experts finish and check it within a day.

Radiotherapy planning (contouring organs and target, optimising beams, quality assurance) is the scarcest skill in many centres. A cloud planning hub combining AI auto-segmentation with a pooled roster of dosimetrists and physicists in higher-capacity centres would turn a two-week wait into a 24-hour service. Commercial contouring software already exists; the missing piece is the organisational and regulatory model that lets a physicist in one country sign off a plan for another.

Hypothesis
A regional planning hub will reduce median simulation-to-first-treatment time from more than 14 days to under 5 days in participating centres, with plan-quality audit scores at least equal to locally produced plans.
Rationale
Teleradiology proved that image interpretation can be pooled across borders with quality maintained; planning is a similar knowledge-work bottleneck with a structured output that is easy to audit.
What would test it
A twelve-month pilot in five LMIC centres with blinded plan-quality review by an independent physics group, time-to-treatment and re-plan rates as endpoints, and a costed model of hub economics.
Maturity
early clinical
Who has to act
engineering
Cost to try
Medium ($1M to $50M)
Years to first evidence
3
Bottlenecks it attacks

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