Many feel professionally unsafe, especially those working in academia & hospitals, too. If you look at the stories of @ayshakhoury@uche_blackstock@timnitGebru you see this over and over. This exists on a spectrum and tolerating “mild” hate, racism, & bigotry is a slippery slope
It can also kill. Look at how #drsusanmoore was treated in the hospital
then posthumously called “intimidating” by same nurses who should have been caring for (not Karening) her
clinician at your bedside to care may be of #insurrection beliefs
How many hospitals are monitoring their employees to assess for this?
Shouldn’t we be checking the #socialmedia of doctors & nurses & others to ensure the people working in hospitals are safe, not advocating harm or not posting QAnon? #MedTwitter
A @becker_sbecker#podcast on #racism in #healthcare - that can be triggering to those w/ past trauma from sexual assault, police brutality, school brutality, living through war
I got curious on QAnon in #healthcare. Started looking thru FB of healthcare workers w/in 1-2 degrees of separation. Found this. No @IlhanMN has not been getting terrorist training.
This medically inaccurate info posted by a nurse - is she or doctors like her safe for patients?
I did a long thread on QAnon #disinformation spread via #socialmedia & religious groups, drew from past anti-terrorism efforts, best practices on #SciComm, & what we do poorly so should change
Too many in SciComm teach ineffective and even harmful approaches
Would this licensed, employed pharmacist have flown under the radar to harm the vaccine distribution if of another race?
We have people w/ ability to administer death instead of life in positions in police, healthcare, Congress who are not factual, rational, don’t respect law.
(Deleted tweets cuz the posted link was wrong - gah. I hate deleting tweets but the meaning totally changed.)
What I threaten is the power differential in #healthcare -by my identity & work - all bullying is about power first & foremost. Yes, I threaten bullies & their sidekicks. I open, expand, include vs paranoia to exclude, block.
Important to keep in mind that #AI is made by humans. Our flaws and biases get encoded and amplified. We need the right diversity of people at the table to design and implement #ArtificialIntelliegence and #ML. #humancentereddesign for all of humanity. #design
Who determines definitions, labels of #data cut offs? Too often we get all nerdy on which variables & factors in the model. But are we even using the right data? #tech#technology types might consider reading Maya Angelou & Toni Morrison and others to think outside the box #AI
Example: many people are interested in #SDoH#socialdeterminantsofhealth & #data for it.
Who has existing large #databases?
Banks
Banks are traditionally risk averse, block/exclude those who are labeled high risk
So can their data improve health equity?
Not only experience, which is important, but clinical #research does not parse out the Japanese man or woman from the South Asian man or woman on heart disease risk, epidemiology, treatment.
I would like to point out I was already following him & had watched all his videos, long before he got the 7 million views, record deal, or noticed by Kermit or Andrew Lloyd Webber
Also, if you notice a pattern of certain women who are very concerned about “cancel culture”, these are often women whose income, power, position comes from those men who avoid/fear accountability.
There is no reason to be afraid of women if one already was doing the right thing. Have good ethics yourself and have a good radar for that yourself. I have NEVER had problems with male mentors as we align on values/mission first. We work through trust.
If you are playing a dirty game or don’t have standards to who you hire, do business with, etc (or no standards to own behavior), yeah, I get why you are paranoid.
Drain your own swamp then.
Not all women are pawns in a man’s game like: