AI-Assisted Health Research & Evidence Review
Course modules
01Define a focused research question
Turn a broad health topic into a clear question, scope and review plan. Specify the information needed without using the exercise to make patient-specific decisions.
02Search and document sources
Develop suitable search terms and keep a record of sources and search decisions. Verify that referenced publications exist and are relevant rather than trusting AI-generated citations.
03Read study structure and limitations
Explore research designs, populations and outcomes using teaching examples. Identify limitations and questions that require more advanced methodological or clinical expertise.
04Extract and organise evidence
Build an evidence table that separates reported findings from interpretation. Use AI assistance to organise suitable material while checking every entry against the original source.
05Compare findings and uncertainty
Review agreements, differences and gaps across selected sources. Preserve uncertainty and avoid presenting a generated summary as a clinical recommendation.
06Prepare a reviewed evidence brief
Create a concise summary with sources, limitations and unresolved questions. Define review responsibilities before sharing the work or considering any clinical application.
Course Enquiry
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Curriculum, duration and tuition are indicative and subject to confirmation. Training uses teaching examples; do not bring patient-identifiable information. Educational research-support skills only, not clinical licensure or authorisation for diagnosis, treatment or independent clinical interpretation. AI outputs and references require verification. Optional tools and publication-access costs are separate unless confirmed. An enquiry does not confirm a place.