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August 25, 2025Deleted JournalOpen Access

Opportunities and Challenges in Using Artificial Intelligence in Guideline Development and Implementation

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Authors

CCChirine ChehabCenters for Disease Control and PreventionXYXiaomei YaoShanxi Medical UniversityJHJonathan L. HealdInfectious Diseases Society of America

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Implication

Observational analysis highlights the potential of AI in clinical practice guideline development, suggesting enhanced efficiency and data management.

Key Points

  • AI improves efficiency in guideline development by automating systematic review processes, thereby enhancing evidence synthesis.
  • A recent study showed that AI can generate unique guideline questions, revealing how AI tools expand the scope of clinical inquiries.
  • AI-supported tools streamline the analysis of real-world data, enabling better monitoring and updating of clinical guidelines.
  • Ethical challenges like algorithmic bias must be addressed to maintain trust and transparency in AI-enhanced healthcare practices.

Cite This Study

Chehab et al. (2025) studied this question.

synapsesocial.com/papers/68af7c827567bf4f94ff362bhttps://doi.org/10.1002/gin2.70029
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