Clinical judgement in precision medicine.

Area of Science:

• Medical Informatics
• Genomics
• Clinical Decision Support

Background:

• Precision medicine aims to personalize patient care by integrating genetic, environmental, and lifestyle data.
• Current clinical decision-making models may not fully support the complexities of precision medicine.

Purpose of the Study:

• To explore the necessary evolution in clinical decision-making for effective precision medicine implementation.
• To identify the new skills and knowledge required for practitioners in the era of precision medicine.

Main Methods:

• Review of current literature on precision medicine and clinical reasoning.
• Analysis of the methodological approaches needed for integrating diverse data sources.
• Conceptual framework development for precision medicine clinical judgment.

Main Results:

• Precision medicine necessitates an expanded medical knowledge base from varied sources.
• Clinical judgment must incorporate mechanistic and qualitative research alongside traditional evidence.
• Decision-making in precision medicine shifts focus from external literature to internal patient data.

Conclusions:

• An evolution in clinical decision-making is crucial for realizing the potential of precision medicine.
• Practitioners need to adopt new reasoning strategies and integrate diverse evidence types.
• Effective precision medicine relies on patient-centered clinical judgment informed by comprehensive data.