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Evaluating Unconscious Bias: Speaker Introductions at an International Oncology Conference.

08:00 EDT 11th October 2019 | BioPortfolio

Summary of "Evaluating Unconscious Bias: Speaker Introductions at an International Oncology Conference."

In a professional setting, the introduction of female speakers without their professional title may have an impact on the public's perception of the female speaker. We examined how professional titles were used during speakers' introductions at the ASCO Annual Meeting.

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This article was published in the following journal.

Name: Journal of clinical oncology : official journal of the American Society of Clinical Oncology
ISSN: 1527-7755
Pages: JCO1901608

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Medical and Biotech [MESH] Definitions

Work that consists of a conference of physicians on their observations of a patient at the bedside, regarding the physical state, laboratory and other diagnostic findings, clinical manifestations, results of current therapy, etc. A clinical conference usually ends with a confirmation or correction of clinical findings by a pathological diagnosis performed by a pathologist. "Clinical conference" is often referred to as a "clinico-pathological conference."

The process by which an observer comprehends speech by watching the movements of the speaker's lips without hearing the speaker's voice.

A theoretical psychoanalytical system centered around symbols of the unconscious with the unconscious material derived from two sources - the personal unconscious (repressed or forgotten experiences, thoughts and feelings) and the collective or objective unconscious (the universal inherited qualities which dispose individuals to behave in ways similar to their ancestors).

Work consisting of summary statements, from a conference sponsored by NIH, representing the majority of current opinion of physicians, scientists, and other professionals on a selected subject.

Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.

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