Looking for "Implicit Bias Training for Michigan Healthcare Professionals"? CLICK HERE

Do No Harm
Donate

Main Menu

    • About Us
    • The Team
    • Frequently Asked Questions (FAQs)
    • What Others Say
    • Voices of Do No Harm
    • Newsroom
    • Issue Awareness
    • Federal Policy
    • State Policy
    • Litigation
    • Research
    • Resources
    • Submit a Tip
    • Become a Member
    • Careers
    • Make a Donation
    • Share Your Testimonial
    • Attend an Event
    • Listen to Our Podcast
    • Tell Your Story
  • Donate
  • Media Inquiries
  • Twitter
  • Facebook
  • Instagram
  • LinkedIn
  • YouTube
Search

Commentary

Mississippi Bill Would Force Physicians to Submit to Implicit Bias Trainings

  • By Do No Harm Staff
  • January 23, 2025

Share:

  • Twitter
  • Facebook
  • LinkedIn
  • WhatsApp
  • Buffer

Legislation introduced in Mississippi would force physicians to undergo implicit bias and “cultural competence” training to renew their license.

The bill was introduced by state Rep. Zakiya Summers, who has led campaigns to advance “educational equity, healthcare access, and racial justice.”

If enacted, the bill would force physicians or osteopaths in general practice, pediatrics, obstetrics, or gynecology to provide proof that they had complete continuing medical education in “implicit bias” and “cultural competence” to renew their license.

The bill defines cultural competence as “the ability to address the health issues of individuals from diverse backgrounds effectively by applying knowledge, empathy, and insight into the views on health that those backgrounds present.”

The bill defines implicit bias as “bias in judgment or behavior that results from subtle cognitive processes, including implicit attitudes and implicit stereotypes, that often operate at a level below conscious awareness and without intentional control.”

But the justification for this bill relies on dubious science. 

Implicit bias is not a well-supported scientific concept; the existence of implicit bias is often inferred from metrics on Implicit Association Tests, which are not reliable and do not correlate with real-world behavior. Ohio State University psychology professor emeritus Hal Arkes described the test as “an extremely feeble predictor of behavior.”

Based on these unreliable metrics, implicit bias trainings assert that individuals have hidden prejudices against other races. This creates unwarranted paranoia and inhibitions, which are detrimental to effective healthcare.

Despite this, some states have considered requiring implicit bias training as a condition of medical licensure. Many have rejected these mandates as unnecessary and unwanted.

Many Mississippi medical professionals agree that they should not have to put up with necessary and even harmful trainings to simply practice their profession.

Promoted Links

Group of doctors

Become a Member

Help us protect patients, physicians, and healthcare itself from radical, divisive ideology.

JOIN US

Single doctors

Share Your Concern

Have you seen divisive ideology or discrimination at your healthcare employer, medical school, or medical provider? Let us know – anonymously.

Share Anonymously

Stay Informed

Get up to speed with the threats facing healthcare – and how we’re protecting patients and physicians.

Folder

"*" indicates required fields

This field is for validation purposes and should be left unchanged.

Do No Harm
  • Twitter
  • Facebook
  • Instagram
  • LinkedIn
  • YouTube
Search
  • Contact
  • Search
  • Our Story

    • About Us
    • The Team
    • Frequently Asked Questions (FAQs)
    • What Others Say
    • Voices of Do No Harm
  • Our Work

    • Newsroom
    • Issue Awareness
      • Identity Politics (DEI)
      • Gender Ideology
    • Federal Policy
    • State Policy
    • Litigation
    • Research
    • Resources
  • Get Involved

    • Submit a Tip
    • Become a Member
    • Careers
    • Make a Donation
    • Share Your Testimonial
    • Attend an Event
    • Listen to Our Podcast
    • Tell Your Story

© Do No Harm 2025 | Privacy Policy | Disclaimer