Evidence-Based Medicine: Past, Present, Future.

Area of Science:

• Medical History
• Health Informatics
• Bioethics

Background:

• Modern Western medicine evolved from ancient traditions, accelerating with 19th-century discoveries and evidence-based medicine (EBM).
• EBM initially prioritized clinical research evidence over intuition and experience.
• EBM models evolved to include clinical expertise and patient preferences.

Purpose of the Study:

• To propose a framework for evidence-based medicine (EBM) in the era of precision medicine.
• To redefine EBM principles by incorporating advanced technologies and patient-centered approaches.

Main Methods:

• Review of the historical development of medical practice and evidence-based medicine.
• Analysis of the integration of artificial intelligence (AI), big data, and physician-patient interactions within EBM.
• Examination of the role of patient preferences and shared decision-making in precision medicine.

Main Results:

• Precision medicine necessitates a revised EBM approach.
• Key components include AI-driven big data analysis, enhanced physician-patient interaction, and patient-centered decision-making.
• Physician expertise, intuition, and philosophical beliefs remain crucial.

Conclusions:

• Evidence-based medicine (EBM) must adapt to precision medicine.
• Future EBM will leverage AI, big data, physician expertise, and active patient participation.
• This integrated approach ensures patient-centered care and optimized medical interventions.