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4 min reading time
When Tim Kringel told the 10x crowd about the data they could get their hands on, I practically cut him off mid-sentence and said, “You have to share this with the Medical Devices Group.”
On the spot, he agreed to give a free webinar – a must for anyone in the medical device sales process. (I should mention guests paid $325 to hear his presentation – but he’s repeating it for free for you.)
Tim works for Health Market Science (a division of Lexis-Nexus). The most important data he collects is procedures by surgeon, by CPT and ICD-9 code – so you can target docs with the highest volumes in your product line.
To illustrate the second most important datapoint, he gave me this illustration:
If I’m an ABC rep, is there a way I can persuade Dr. Mike to refer business to Dr. Janelle instead?
Tim explained, “After volumes, that’s the core reason why medical device companies engage us. To get those referral patterns.”
Tim also has customer structure by integrated delivery network (IDN) and group purchasing organization (GPO) – so you can find the right buyer.
He has a ton more, too.
So you can see why I wanted to share this with the group.
The webinar will be held Tuesday, May 19 at noon, New York time.
Register at http://medgroup.biz/claims-data even if you can’t make the live webinar. We’ll send you the slides, video, and transcript afterward.
Bonus: Tim gave me his presentation slides. Download them after you register.
Tim, awesome job yesterday. Thanks for doing this. I know how busy you are.
Discussions this week:
Tax leads to lay-offs, frozen R&D, no raises
STED regulatory route
Rapid prototypes good for cadaver labs?
Best affordable continuous blood pressure signal device?
Has anyone implemented 3D printing as a production process for medical device parts?
I’m having a great time at 10x. Thanks to all who came to last night’s reception and, especially to Rhonda Rhyne, our keynote speaker!
As a result my above post’s conclusions are in error. Since there isn’t a per-treatment breakout, there is no practicable way of using the Differential analytics techniques I cited above.
There is a great paper on this from Microsoft Research: http://www.msr-waypoint.com/pubs/64346/dwork.pdf and for a slightly less abstruse version http://windowsontheory.org/2013/01/09/privacy-loss-as-a-random-variable/ and a more general overview of this is here http://blogs.msdn.com/b/govtech/archive/2012/12/06/the-promise-of-differential-privacy.aspx
In this ever more “big data” world patient privacy exposure is something companies need to think very very carefully about.
You’re right, Steve.
I should have said, “If I’m an XYZ rep, is there a way I can persuade Dr. Mike to refer business to Dr. Janelle instead?”
Thanks for catching my error.
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