Treatment Planning: Time, Team, and Treatment

Cancer treatment planning is not a single decision or event. It is a sequence of decisions made over time.

Our approach to treatment planning is grounded in three operational realities that shape and influence every cancer care pathway: Time, Team, and Treatment (3Ts).

Time

Cancer trajectories evolve. Risk changes with delay, response, toxicity, and disease progression. Treatment plans therefore cannot be static.

In practice, treatment plans are reviewed repeatedly, often around eight times across treatment and survivorship phases. Each review introduces time pressure. Decisions must be made even with incomplete information. Delays or wrong timing can have adverse clinical significance.

Overcoming these challenges requires systems that recognise the time-risk relationship is not just a scheduling constraint. It must help MDTs reassess clinical signals as they change in real time.

How digital technologies support the 3Ts

We use purpose-built digital technologies, including customised clinical AI for cancer care, to support treatment planning across the care journey.

These systems are designed to:

help structure and prioritise clinical information across the 3Ts
make clinical patterns and context visible to assist in decision-making

Our clinical AI is grounded, auditable, and interoperable. It supports correlational reasoning to surface relevant context and causal reasoning to assist MDTs in considering interventions and timing. Notably, responsibility and judgement always remain with clinicians.

By organising treatment planning around Time, Team, and Treatment, we help MDTs manage complexity at scale; supporting safer, consistent, and timely cancer care decisions in real clinical environments.