jeremyrosh Profile Banner
Jeremy Rosh Profile
Jeremy Rosh

@jeremyrosh

Followers
63
Following
149
Media
2
Statuses
28

MD, MSc | Current: IM Resident @uoftmedicine | Past: @mgh_htl. @DeloitteStratOp. @NYUStern. | Promoting value based healthcare + digital health

Joined February 2012
Don't wanna be here? Send us removal request.
@jeremyrosh
Jeremy Rosh
4 years
A big thank you to @DavidUrbachMD and @chaim_bell for both their mentorship and help in crafting this viewpoint.
0
0
0
@jeremyrosh
Jeremy Rosh
4 years
Our paper analyzes the ancestry of Transvaginal Mesh ( as a case study to show the importance of increasing transparency into these 510(k) ancestries to improve the safety of medical devices on the market.
Tweet card summary image
nytimes.com
More than 100,000 women are resolving claims against companies that made pelvic mesh products to treat urinary problems. Lawyers have found ways to take big chunks of their payouts.
1
0
0
@grok
Grok
7 days
What do you want to know?.
584
375
2K
@jeremyrosh
Jeremy Rosh
4 years
・Predicates that have since been recalled by manufactures due to safety concerns.・Predicate creep in which the modern device is substantially different from the original predicate in its ancestry. additional issues that undermine the value of substantial equivalence claims.
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
Device ancestries are like a family tree🌿 for medical devices and they trace the iterative 510(k) clearances that lead to modern devices. An analysis of these ancestries can uncover questionable relationships, including substantial equivalence claims to:.
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
The 510(k) pathway, with its increased efficiency, has since become the primary premarket review pathway for medical devices. Iterative 510(k) clearances over the past 45 years have led to complex device relationships and ancestries.
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
The 510(k) solved congress's dilemma. Instead of requiring manufactures to provide new safety and efficacy data for incremental iterations of their device, they can instead show their new device is substantially equivalent to a previously cleared device termed a predicate
Tweet media one
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
・Low risk devices that require no premarket review ✅.・Medium risk devices cleared through the 510(K) pathway❓.・High risk devices that require an extensive premarket approval review🔎. So what is the 510(k) pathway❓.
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
Congress was challenged with establishing a pathway that could improve safety without introducing a barrier to medical device innovation. The result was the FDA's tiered review pathway that stratifies medical devices into 3 risk categories:.
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
The FDA's medical device approval process was established in 1976 in response to serious harm caused by medical devices (see Dalkon Shield IUD .
en.wikipedia.org
1
0
0
@jeremyrosh
Jeremy Rosh
4 years
Excited to share a piece we published in @JAMASurgery on the importance of postmarket surveillance for medical devices. A brief #tweetorial ↓ on what medical device ancestries are and why they play an important role in patient safety.
Tweet card summary image
jamanetwork.com
This Viewpoint discusses how the pitfalls of the 510(k) pathway have allowed harmful devices that have been recalled, such as transvaginal mesh, to remain as predicates for new devices.
1
0
1
@jeremyrosh
Jeremy Rosh
4 years
Thanks for the opportunity to be a part of this important effort!.
@JoshMatlow
Josh Matlow
4 years
I’m visiting buildings again in our Toronto-St. Paul’s community with @NathanStall & Jeremy Rosh, assisting homebound seniors, and others, to get vaccinated. But along with seniors, we’re even vaccinating willing residents we meet on the street, like the amazing Dustin Parchment.
Tweet media one
Tweet media two
0
0
5
@jeremyrosh
Jeremy Rosh
5 years
An important read.
@chaim_bell
Chaim Bell
5 years
Friends & Colleagues. Apologies for the length of this 1st Tweet—this topic deserves some extra characters. I joined Twitter during #COVID because I have seen that this medium can provide a quick flow of information and contribute to engaging discourse and positive change. 1/12.
1
0
2
@jeremyrosh
Jeremy Rosh
5 years
Thanks for the thread! A clear gap in regulation if nobody is assessing for value before a new drug reaches the market. Can certainly see how this drives up healthcare costs without improving the outcome needle.
@VPrasadMDMPH
Vinay Prasad MD MPH
5 years
@jeremyrosh the largest payer CMS is legally required to pay for all these drugs, no price negotiation. That puts private payers in a bad place wrt bad publicity.
0
0
2
@jeremyrosh
Jeremy Rosh
5 years
RT @NishilaMehta: Excited to share what me and @jeremyrosh have been working on over the past little while- a detailed, operational guide t….
Tweet card summary image
link.medium.com
Every idea needs a Medium
0
6
0
@jeremyrosh
Jeremy Rosh
5 years
Working with @NishilaMehta to share a Toronto based clinic's processes and protocols in response to #COVID19. Hoping this helps other clinics adopt a virtual first model -- join the live document and share your perspective!.
Tweet card summary image
link.medium.com
Every idea needs a Medium
0
2
11
@jeremyrosh
Jeremy Rosh
5 years
A great student led initiative to consolidate information resources and updates on COVID-19
Tweet media one
0
0
3
@jeremyrosh
Jeremy Rosh
5 years
RT @DanielDJLee: CALLING ALL FAMILY PHYSICIANS: we have lots of @uoftmedicine med students volunteering to call seniors to prevent senior i….
0
81
0
@jeremyrosh
Jeremy Rosh
5 years
what challenges are you having transitioning to virtual care? We are working on more comprehensive implementation guides and FAQs to help you make the switch!.
@NishilaMehta
Nishila Mehta
5 years
1/ Hey Ontario Healthcare practitioners - the time is NOW to expand #virtualcare capabilities to keep our patients safe by minimizing unnecessary exposure. This graphic by @OntariosDoctors summarizes key info:
0
0
2
@jeremyrosh
Jeremy Rosh
6 years
RT @NishilaMehta: Great hearing @zakkohane of @HarvardDBMI kick off @uoftmedicine’s ML in Medicine symposium, followed by a panel with @Lau….
0
12
0