Pharmacy AI · Module 4 · Unit 2 — AI Support in Scientific Research & Data Analysis

AI Support in Scientific Research & Data Analysis

Aim — To use AI tools to support scientific research and data analysis — literature review, biostatistics, meta-analysis and writing — while applying correct methodology and the responsible, ethical use of AI. Duration 60 minutes · One case per student · 100-mark rubric · Pass 50%.

Case —

Score —

Result —

◐ Theme

New to AI in research? Start here

AI can help you search literature, analyse data and draft papers — but its output must always be checked, and it must be used ethically. For each task:

Know the research task — literature review, statistics, meta-analysis, writing.
Verify the AI output — references (AI can invent them), statistics, and text must be independently confirmed.
Apply the correct method — the right statistical test, PRISMA for reviews, the right model.
Use AI responsibly — never fabricate data, plagiarise, or upload identifiable patient data; disclose AI assistance (AI is not an author).

Unsure on a case? Open “Need a hint?” in the station.

Student tasks

Choosing a statistical test (quick guide)

Question	Typical test
Compare the means of two independent, normally-distributed groups	Independent (unpaired) t-test
Compare the means of three or more groups	One-way ANOVA
Compare a categorical outcome across groups	Chi-square test
Measure the association between two continuous variables	Correlation (Pearson / Spearman)
Pool results across studies with high heterogeneity	Random-effects meta-analysis model

Faculty assessment rubric

Criteria	Marks

Accepting a fabricated result, an invented reference, plagiarised text, or uploading identifiable patient data is research misconduct and fails the station.

Candidate & case assignment

Candidate name

Registration no.

Assigned case

Practical record & assessment

Complete the research station and submit to generate your assessment, then write and submit your report.