ChatGPT for Health Research: Systematic Reviews and Meta-Analyses

Conducting systematic reviews and meta-analyses in health sciences requires precision, methodological rigor, and substantial time. This text-based course guides you through responsibly integrating ChatGPT into every phase of the medical and healthcare research workflow. You will gain the skills to formulate precise clinical queries, refine search strategies, assist with evidence screening, and structure manuscripts aligned with established reporting guidelines while maintaining academic integrity. What you'll learn: - Formulate structured clinical questions using frameworks such as PICO with AI assistance - Design and refine search strings and Boolean queries for academic databases - Apply structured prompts to accelerate study screening and data extraction workflows - Synthesize research findings and draft evidence summaries with clear prompt engineering techniques - Understand ethical considerations, AI transparency standards, and reporting guidelines for scientific publication - Practice evaluating AI-generated outputs for factual accuracy and hallucination detection The course begins with foundational concepts in generative AI, prompt design, and review methodology before progressing to practical, step-by-step written exercises across each review phase. Designed for healthcare professionals, clinical researchers, and students who are new to using AI in academic workflows, this course requires no previous programming or AI experience. Start reading today to bring modern AI productivity to your scientific writing and research projects.