Cognitive bias is increasingly recognised as an important source of medical error, and is
both ubiquitous across clinical practice yet incompletely understood. This increasing …

Diagnosis is one of the most important tasks performed by primary care physicians. The
World Health Organization (WHO) recently prioritized patient safety areas in primary care …

Importance Large language models (LLMs) have shown promise in their performance on
both multiple-choice and open-ended medical reasoning examinations, but it remains …

Abstract Machine learning promises to revolutionize clinical decision making and diagnosis.
In medical diagnosis a doctor aims to explain a patient's symptoms by determining the …

Secure and scalable data sharing is essential for collaborative clinical decision making.
Conventional clinical data efforts are often siloed, however, which creates barriers to …

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Blockchain technology alleviates the reliance on a centralized authority to certify information
integrity and ownership, as well as mediate transactions and exchange of digital assets …

Background Diagnostic errors cause substantial preventable harms worldwide, but rigorous
estimates for total burden are lacking. We previously estimated diagnostic error and serious …

Background The frequency of outpatient diagnostic errors is challenging to determine due to
varying error definitions and the need to review data across multiple providers and care …

Diagnostic errors contribute to as many as 70% of medical errors. Prevention of diagnostic
errors is more complex than building safety checks into health care systems; it requires an …