Journal

GPwER roles let you develop specialist expertise — dermatology, MSK, mental health, minor surgery — while maintaining your generalist identity. The pathway involves additional trai...

V300 resources are thin. The available stack: one dedicated Q-bank, current UK medicines information, NICE CKS, university materials, and broader clinical platforms. The gap repres...

Geeky Medics' V300 Q-bank is currently the only dedicated non-medical prescribing question bank. Its value depends on volume and alignment with your university's assessment.

V300 exams test applied pharmacology, prescribing law, and clinical assessment. Dedicated revision resources are scarce — an underserved market.

LTFT trainees have proportionally less clinical exposure and study leave, but identical exams. The revision strategy needs to be more efficient — prioritising adaptive tools that s...

The AKT clinical domain tests universal medicine that IMGs typically know well. The organisational and EBP domains are where IMGs are most vulnerable — 32 questions testing entirel...

The toolkit shift from trainee to NQP is significant — exam revision tools become irrelevant, clinical reference becomes more important, AI scribes become essential, and CPD tools ...

ST3 is where everything converges — SCA preparation, AKT (if not passed), portfolio completion, and CCT application. The trainees who struggle are those who don't plan the sequenci...

Many trainees sit the AKT from ST2. The decision should be based on diagnostic mock performance, not calendar pressure. If you're scoring 65%+ on mocks, sit it. If not, wait and pr...

ST1 is overwhelming. The priority is setting up infrastructure you'll use for three years — FourteenFish, clinical apps, revision habits — rather than jumping into exam revision. B...

CKS is the authoritative GP reference, but its depth can make it slow during a 10-minute consultation. The trick: know the structure, bookmark high-frequency topics, and jump strai...

GP trainee AI adoption spans four categories, but usage is uneven. Most trainees use Heidi's free tier and ChatGPT informally. Few use purpose-built revision AI or reflection tools...