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Updated: Feb 20, 2026

Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology
Published on: December 1, 2023
What does physicians' clinical expertise contribute to oncologic decision-making? A qualitative interview study.
Sabine Salloch1, Ina Otte2, Anke Reinacher-Schick3
1Institute for Ethics and History of Medicine, University Medicine Greifswald, Greifswald, Germany.
Physician expertise is complex, involving more than just experience and guidelines. Intuition and personal experience are crucial for patient care, especially in complex cases not covered by standard protocols.
Area of Science:
- Oncology
- Medical Education
- Healthcare Quality
Background:
- Physicians' clinical expertise is vital for patient diagnosis and treatment.
- Empirical data suggests an inverse relationship between physician experience and care quality.
- Professional standards and clinical guidelines are often used to assess physician performance.
Purpose of the Study:
- To explore oncologists' perspectives on clinical expertise.
- To investigate the interplay between personal expertise, intuition, and clinical guidelines.
- To understand how physicians integrate external evidence with their own judgment.
Main Methods:
- An explorative study using semistructured interviews and the Q method.
- Qualitative content analysis of transcribed interviews with oncologists.
- Focus on oncologists' views regarding clinical expertise and guidelines.
Main Results:
- Clinical expertise is multifaceted, encompassing experience, professional development, and intuition.
- Personal and bodily experience play an irreplaceable role in patient care.
- Intuition, with its emotional component, aids in selecting patient-appropriate therapies, especially beyond guideline recommendations.
Conclusions:
- Standard metrics like knowledge and guideline adherence fail to capture the full complexity of clinical expertise.
- Bodily experience and intuitive knowledge are critical factors in physician decision-making.
- Considering these factors is essential for understanding and mitigating treatment biases.
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