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Artificial Intelligence (AI) Guide

Clinical Research Overview

Limitations & Questions
  • Never upload PHI/PII into an AI tool which might retain the data. You must remain HIPAA and FERPA compliant.
  • AI may perpetuate biases present in healthcare institutions and biomedical data.
  • Regulations on AI in healthcare are still evolving. Is there a "human-in-the-loop" system to review and validate generated decisions? Who is ultimately responsible if AI makes a decision that harms a patient?
  • What corpus is the tool pulling from? Do they exclusively search open-access content? Are they transparent about sources they draw from—web resources, published articles, preprints, etc.? Many AI tools search Semantic Scholar or OpenAlex, which have wide coverage, but do not offer the same breadth of coverage as the library's bibliographic databases.
  • Recognize that no database or AI tool contains access to ALL literature. Best practice is to search more than one database or tool to cast a wide net, especially in EBP/EBM. AI may be biased towards certain types of literature, such as the most accessible.
  • Do not become overdependent on AI. Apply your clinical judgment and evaluate patient values in making any healthcare decisions.

Clinical Research Tools

Note: All AI can hallucinate, provide poor quality outputs, or oversimplify complex topics. Apply critical analysis to any output.

Use the ROBOT test to evaluate AI tools.

See also the Discover resources for other valuable bibliographic databases.