Medical training is assessed in stages, but competency develops continuously.
Learners restart with a new tool, a new record, and no memory of prior performance at every transition.
Institutions hold assessment data they cannot easily turn into targeted remediation.
Generic AI study tools lack clinical governance, citation, and framework mapping — so institutions cannot adopt them.
Consequence
Effort is repeated, weaknesses persist unseen across transitions, and accreditation evidence is assembled manually. No one holds a continuous, trustworthy picture of how a doctor's competency develops.