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'More than words' - Interpersonal communication, cognitive bias and diagnostic errors.
Maria R Dahm1, Maureen Williams2, Carmel Crock3
1Institute for Communication in Health Care (ICH), College of Arts and Social Sciences, Australian National University, Canberra, Australia.
Cognitive biases and communication influence clinical reasoning, leading to diagnostic errors. Understanding these links through patient engagement can improve patient safety and diagnostic accuracy.
Area of Science:
- Medical Communication
- Cognitive Psychology
- Patient Safety
Background:
- Clinicians' assumptions and premature judgments during diagnosis can stem from patient appearance or speech.
- Unconscious cognitive biases, faulty thinking patterns, significantly contribute to diagnostic errors and impact clinical reasoning.
- Patient safety is intrinsically linked to cognitive bias and the effective use of language in gathering and synthesizing information.
Purpose of the Study:
- To explore the complex relationship between interpersonal communication, cognitive bias, and diagnostic error.
- To examine these links from the perspectives of patients, linguists, and clinicians.
- To propose enhanced patient engagement and health communication research for improved diagnostic processes.
Main Methods:
- Discussion of the interplay between communication behaviors, biases, and errors.
- Analysis from patient, linguist, and clinician viewpoints.
- Proposal for collaborative research integrating communication and cognitive bias.
Main Results:
- Diagnostic errors are often rooted in cognitive biases influencing clinical judgment.
- Language and communication strategies significantly shape diagnostic decision-making.
- The patient experience is profoundly affected by the interplay of communication, bias, and error.
Conclusions:
- Patient engagement and health communication research are crucial for understanding diagnostic error.
- Addressing cognitive biases and improving communication can enhance diagnostic accuracy.
- Collaborative research offers new pathways toward safer diagnoses and improved healthcare.
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