Having identified the outrageous injustices in U.S. health care, Dr. King called on us to use “direct action and creative nonviolence to raise the conscience of the nation.”

Here are some things you can do TODAY to advance the cause of racial justice in health care. #MLKDay2021

Register for “Unequal Treatment: The Death of Dr. Susan Moore,” which will be held next Tuesday, Jan. 26 at 7:00 p.m. Eastern. Featuring @DrMaryTBassett, Dr. @CamaraJones, and Dr. Mary Charlson. Hosted by @PNHPNYMetro.

Visit https://t.co/5VS7ndcmzn to RSVP.
Explore our online toolkit on Racism as a Public Health Emergency at https://t.co/lIbEAWVGv9.
Explore our Kitchen Table Campaign toolkit on Racial Health Inequities at https://t.co/ZswqVRZwx5.
Explore our Kitchen Table Campaign Toolkit on how COVID-19 has exacerbated racial inequities at https://t.co/DwokkMjhiA.
Read “Misrepresenting Race: The Role of Medical Schools in Propagating Physician Bias,” published last week in @NEJM. https://t.co/dB9PNDaEiW
Read “Structural Racism in the COVID-19 Pandemic: Moving Forward,” published last month in @bioethics_net. https://t.co/oIqiEFpJ0Y
Make a financial contribution to our allies at @natlwc4bl, a medical student-run organization whose mission is to dismantle racism in medicine and promote the health, well-being, and self-determination of people of color. https://t.co/pAzkXpZNpL
Health care can and should be on the forefront of the fight for racial justice. But to realize this vision, we need to identify, take ownership of, and work to eradicate racism within the medical profession. #BlackLivesMatter #MLKDay2021

More from Health

You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇

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