Overview
- International studies, including a 2023 Nature Biotechnology paper, report well‑designed tools can trim 20–30% of time spent on documentation, triage and data reconciliation.
- In Brazil, administrative work can consume up to roughly 40% of clinicians’ time, creating a near‑term efficiency opportunity for AI to reallocate hours to direct care.
- Recent analyses in Lancet Oncology (2025) frame AI’s equity potential in Latin America as conditional on standardized clinical protocols, cost‑effectiveness assessments and locally adapted governance.
- Experts call for AI to be evaluated with rigor comparable to new drugs or clinical protocols, with transparent evidence and health‑value analysis guiding adoption decisions.
- The most mature uses function as decision‑support infrastructure rather than physician replacements, yet limited training—fewer than one‑third of doctors report formal instruction—poses safety and implementation risks, including errors, readmissions and loss of patient trust.