Pharmacy AI · Module 5 · Unit 4 · Practical 5

AI-Driven Literature Analysis — “The Systematic Review Sprint”

Aim — To build a reproducible search, screen and appraise the retrieved literature, extract and synthesise the findings, and critically verify the output of an AI literature assistant — working as the Evidence Analyst in a hospital drug information centre. 8 locked stages · 100 marks · 90-minute countdown · 3 AI mentor hints · Pass 50.

Stage —
Score 0 / 100
Evidence integrity 100%
AI hints left 3
Time left 90:00
Result —
◐ Theme

Your commission

The Drug and Therapeutics Committee has asked the drug information centre one question: “In adults with type 2 diabetes and chronic kidney disease, do SGLT2 inhibitors slow the progression of kidney disease compared with standard care?” You have one working day to produce a defensible evidence summary.

  1. Eight stages, each locked until the previous one is submitted — a review is reproducible only if done in order.
  2. Marks are earned: the 100 marks follow the assessment rubric below.
  3. A separate Evidence Integrity Index starts at 100% and falls whenever you let unsound evidence into the synthesis — a retracted paper, a fabricated citation, a misreported effect. It is scored independently of your marks.
  4. A 90-minute countdown runs from the moment you start. Unfinished stages score zero.
  5. You may consult the AI mentor three times in total.

Five badges are on offer — Search Strategist, Screening Expert, Bias Detective, Evidence Synthesiser and AI-Literate Pharmacist.

The eight stages

StageTaskMarks

Assessment rubric

Assessment criteriaMarks
Search strategy construction12
Source & database selection8
Title & abstract screening18
Full-text eligibility & PRISMA accounting14
Risk-of-bias assessment12
Data extraction accuracy10
Meta-analysis interpretation14
AI output verification12
Total100

Achievement badges

🔎 Search Strategist📑 Screening Expert 🕵 Bias Detective📊 Evidence Synthesiser 🤖 AI-Literate Pharmacist

Drug information centre · sign in

Alizon Teaching Hospital · Drug Information Centre · Review ref. DIC-EBP-2026-11

AI competency feedback & practical report

Complete all eight stages to generate your competency profile and practical report, then write and submit your report.