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Strategies for improving diagnostic safety and clinical reasoning
Pedro J Alcalá Minagorre1, María José Salmerón Fernández2, Araceli Domingo Garau3
1Unidad de Pediatría Interna Hospitalaria, Hospital General Universitario Dr. Balmis, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
Anales De Pediatria
|April 17, 2025
Summary
Diagnostic safety failures contribute to 15% of adverse health events. This review examines diagnostic error causes and proposes strategies, including AI, to enhance patient safety and clinical reasoning.
Area of Science:
- Healthcare Quality and Patient Safety
- Medical Error Analysis
- Clinical Reasoning
Background:
- Diagnostic safety failures account for up to 15% of adverse healthcare events.
- Diagnostic errors stem from complex individual (cognitive biases) and organizational factors.
- Improving diagnostic accuracy is crucial for patient safety.
Purpose of the Study:
- To provide an updated review of diagnostic error bases and characteristics.
- To propose strategies for enhancing diagnostic safety and clinical reasoning.
- To explore the role of novel technologies, including artificial intelligence, in improving diagnostic safety.
Main Methods:
- Literature review of diagnostic error.
- Analysis of contributing factors in various healthcare settings.
- Synthesis of strategies for improving diagnostic safety.
Main Results:
- Diagnostic errors are multifaceted, influenced by cognitive biases and systemic issues.
- Educational, care delivery, and technological interventions can mitigate diagnostic errors.
- Artificial intelligence offers potential for enhancing diagnostic accuracy and safety.
Conclusions:
- Addressing diagnostic errors requires a comprehensive approach targeting individual and systemic factors.
- Implementing proposed strategies can lead to improved patient outcomes and healthcare quality.
- The integration of advanced technologies like AI is promising for future diagnostic safety improvements.
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