Seven categories in, three benchmarks out. Log hours the way a CAA application describes them, and see the three totals that can be compared against accepted applicants.

What you log

Seven categories, matching how applications ask you to describe activities rather than how the dataset groups them.

Anesthesia Shadowing

Observing a health care professional at work, ideally in anesthesia or CAA practice.

Healthcare Experience

Paid or unpaid health-related work where you are not primarily responsible for patient care.

Non-Healthcare Experience

Paid work outside health care and research, such as retail or food service.

Volunteering

Unpaid service outside health care, such as tutoring, fundraisers, or blood drives.

Research, Leadership, Extracurricular

Logged and totaled like the rest, but the dataset holds no benchmark for them, so they are reported without a comparison rather than compared against something unrelated.

How they roll up

The seven categories collapse into the three the accepted-applicant dataset measures. Anesthesia Shadowing becomes Shadowing. Healthcare Experience and Non-Healthcare Experience combine into Work. Volunteering carries across unchanged. That mapping is why hours entered in application language can still be compared against dataset figures.

What the comparison shows

Accepted average and median

Both, because experience hours skew hard and the two often sit far apart.

Typical range

The 25th to 75th percentile, which is a fairer target than an average pulled up by a few very large totals.

Your position

A curve of what accepted applicants actually logged, with your total marked on it against the accepted median, and the share of them you are above stated underneath.

Entering hours

An entry can be a single day, a date range, or an ongoing commitment that keeps accruing. Entries carry the organisation and can be edited or deleted, filtered by category, and exported to CSV. They are private to your account.