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TutorialLiterature review › Literature reviews for health and biomedical research

Healthcare Professionals: Use AI to Find and Understand Research

Prof. Benita OlivierEnglishLiterature reviewLiterature reviews for health and biomedical research

TL;DR

1-min read

This tutorial is for clinicians, healthcare practitioners, researchers and postgraduate students who need to keep up with evidence-based practice. It is led by Professor Benita Olivier of Oxford Brookes University, who demonstrates how healthcare professionals can use AI tools to locate, interpret and evaluate scientific studies. With new studies appearing every day, staying current is difficult, and the tutorial offers a practical approach that does not require reading every paper from start to finish.

Key takeaways

  • Setting focused search questions and using AI-assisted search helps surface the most relevant medical and health studies efficiently.
  • Reading summaries first is a quick way to decide which papers deserve full attention.
  • AI can help break complex clinical papers into understandable terms and identify the main findings along with their practical implications for care.
  • AI summaries can miss nuances or misstate details, so any finding should be verified against the original paper and relevant guidelines before it is applied in practice.
  • Study design, sample and limitations should be checked in the original publication, with preference given to high-quality evidence such as systematic reviews and well-designed trials.
  • Responsible use in clinical and academic settings means AI supports professional judgment and never replaces it in patient-related decisions.
Apply it

To apply this in SciSpace, search with a focused clinical question, use summaries to triage results, and confirm the key details in the full text and guidelines before changing practice.

How to do it

  1. Search with a focused clinical question

    Enter a focused clinical question in SciSpace to surface the most relevant medical and health studies efficiently.

  2. Triage results using summaries

    Read summaries first to decide which papers deserve full attention, instead of reading every paper from start to finish.

  3. Simplify complex clinical papers

    Ask AI to break complex clinical papers into understandable terms and to identify the main findings and their practical implications for care.

  4. Check design, sample and limitations

    Confirm study design, sample and limitations in the original publication, giving preference to systematic reviews and well-designed trials.

  5. Verify findings before changing practice

    Check key findings against the full text and relevant guidelines before applying them. Using AI for healthcare professionals research means it supports, never replaces, your judgment.

Try this on SciSpace

Frequently asked questions

How can clinicians keep up with new medical research?

Set focused search questions, use AI-assisted search to surface the most relevant studies, and read summaries first to decide which papers deserve full attention. Always check study design, sample and limitations in the original paper before changing practice, and favour high-quality evidence such as systematic reviews and well-designed trials.

Is it safe to rely on AI summaries of medical papers?

AI summaries are useful for triage and understanding, but they can miss nuances or misstate details. Before applying any finding clinically, verify it against the original paper and relevant guidelines. The tutorial stressed responsible use, meaning AI supports professional judgment and never replaces it in patient-related decisions.

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