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New evidence-based practice: Artificial intelligence as a barrier breaker.

Ricardo Maia Ferreira1,2,3,4

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Artificial intelligence (AI) can overcome barriers to evidence-based practice (EBP) in healthcare. AI enhances clinical decision-making and efficiency, improving patient care and interactions.

Keywords:
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Area of Science:

  • Healthcare Technology
  • Clinical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Evidence-based practice (EBP) is crucial for optimal patient care but faces implementation barriers.
  • These barriers include skill gaps in study interpretation, resource limitations, time constraints, and language barriers.

Discussion:

  • Artificial intelligence (AI) offers potential solutions to EBP implementation challenges.
  • AI can help clinicians stay updated with research, improve clinical decision-making, combat patient misinformation, and save time.

Key Insights:

  • AI integration can streamline EBP by enhancing information synthesis and application.
  • AI tools can personalize treatment plans and improve diagnostic accuracy.
  • AI facilitates better doctor-patient communication and engagement.

Outlook:

  • The synergy of EBP and AI promises a transformative era in healthcare delivery.
  • This integration may require evolving the fundamental principles of evidence-based practice.
  • Future healthcare models will likely feature advanced AI-driven clinical support systems.