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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Addressing Racism in Medical Education – Everyone Matters, Everyone Counts
Baylor Health Equity Grand Rounds
1 hr
On Demand
Credit
On Demand
Health Inequity: What Is at the Root of It All?
Obstetrics & Gynecology Grand Rounds
1 hr
On Demand
Credit
On Demand
We Are Not Bullies, Are We? Diversity, Inclusion, Unconscious Bias, and Microaggression
Michael E. DeBakey Department of Surgery Grand Rounds
1 hr
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Credit
On Demand
Gender Equality in Surgery and Surgical Training
Michael E. DeBakey Department of Surgery Grand Rounds
1 hr
On Demand
Credit
On Demand
Internal and External Barriers to Healthcare: An Overview of Health Equity for Women
Baylor College of Medicine Menninger Department of Psychiatry and Behavioral Sciences Grand Rounds
1 hr
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Credit
On Demand
Implicit Bias and Personal Views
BCM Ethics, Professionalism, and Policy Program (EP3)
30 min
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Credit
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Rounding While Black
Department of Medicine Grand Rounds
1 hr
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Credit
On Demand
CPC: A Diagnostic Ca-nundrum
Department of Medicine Grand Rounds
1 hr
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Credit
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What You See Depends on Where You Stand
Department of Medicine Grand Rounds
1 hr
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Credit
On Demand
IDEA Series: Ethnic and Racial Bias in Pulse Oximetry
Department of Medicine Grand Rounds
1 hr
On Demand
Credit
On Demand
Advancing Science, Serving Society: Leadership to Action
Department of Medicine Grand Rounds
1 hr
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Credit