1/n #Tweetorial: As an Assistant PD for @OHSUIMRes focused on scholarship, #medtwitter, & #hcsm (health care social media), I’m often guide residents and colleagues on how to best use Twitter for academics, networking, learning, etc...
2/n recently, while welcoming newbies (esp students) and “onboarding” them to #medtwitter & #hcsm, I was asked to put together advice for IM applicants on how to best use social media during application/interview season. I think this advice is applicable beyond IM, too.
2/ 4 months ago EBM & cardiology expert Dr. Milton Packer published a blog post detailing how he found Twitter uninformative and emotion/opinion driven
Is this the reality of #medtwitter?? medpagetoday.com/blogs/revoluti…
3/ #SoMe is digitally based mediums that helps us
60% of physicians say their most popular activity on #hcsm = Following what colleagues are sharing and discussing
Channel the “look at me” negative stereotype of #SoMe into “look at THIS” learning etc...
(2) You are the expert on the topic - you're the only one who read about this before your talk. Don't underestimate yourself. Be prepared and have minimal slides (have back-up slides if someone in the audience is contrary and insists on seeing slides).
(3) no cartoons or funny slides. People take in jokes or gifs are different speeds. So you end up with a staggered polite laugh. You can make jokes that sound spontaneous, but staged slides are never as funny to anyone else (fka the GaryLarson rule of PPT)
3/ Culture. "I still don’t think that the prospect of being sexually assaulted was as bad as watching the next generation of sexual harassers being formed. I think that was the worst part for me." (Nontenure-track faculty) #MeToo#MeTooSTEM#womeinmedicine#MedEd#heforshe
2/ Title IX. This article is missing information about federally mandated reporting processes and protections that legally protect medical students (and all students in the U.S.).
3/Anecdotal beliefs perpetuate harms. A physician expert states “the trainee must amass allies before lodging this complaint…” This is legally incorrect, a single report is enough to trigger Title IX and this reinforces the notion that single reports will not be believed.
In commemoration of 3 years of emailing hundreds of papers/ resources to my @OHSUIMRes ward teams & thanks to the amazing educators here and on #medtwitter#meded
My 10 greatest hits based on learner feedback:
10/ AGC “Approach to abnormal LFT” guidelines - for all those times when it’s not acute liver failure, but those LFT’s look like they need some investigating - ht Dr Jou gi.org/guideline/eval…
9/ “Normotensive ischemic acute renal failure” - can’t tell you how many times this has come in handy where I’ve slipped this to my resident, antihypertensives were backed down and a mysterious AKI disappeared; ht Dr Chiovaro nejm.org/doi/full/10.10…
This is my commentary on #twitter#movements. Before I go I want to preface this with a statement: I love humans. We're amazing creative & powerful beings. I'm fascinated by human behaviour and the hidden motivations underlying our basic need to belong. 1/
I've observed some movements taking off on Twitter. Some for #MedEd, raising awareness, knowledge sharing, inspiration and sharing failings, wounds & triumphs. Generally they support creative expression in 280 characters. Awesome! 2/
As these movements gain momentum, more people want to join in b/c #belonging. I'm seeing a disturbing trend of sharing experiences of patients/clients to promote how deep & human they are. Some are purely intended, some not. 3/
Francisomycin, my new natural anti-atherosclerotic antibiotic, has now been published in NEJM to reduce atherosclerosis by 173 arbitrary units (p=0.03).
I am really, really pleased with the result and the fact that I have the patent on this magical stuff.
What does p=0.03 mean?
A. 3% of pts had reduced atherosclerosis?
B. 97% of pts had reduced atherosclerosis?
C. If a drug is ineffective, 3% chance that it produces an effect this extreme.
D. 3% probability that THIS drug is ineffective, i.e. that these results occurred by chance