Archives For #dataShows™

This datacard uses the NIH Grant RePORTER data to identify leading research institutions, particularly pre-clinical.

nih
Purpose: clinical operations, market research

Entities: organizations, investigators, diseases, drugs

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This card uses the Sunshine Act Data [Pharma Payments to US Physicians] to identify top researchers with strong ties to pharma.

#datashows sunshine

Entities: Sponsors and Physicians

Purpose: clinical operations, competitive intelligence

 

This datacard uses the Medicare Part D Database to identify top prescribers and top to prescribing geographies of drugs.

14_5M_claims_related_to_146_926_Healthcare_Providers___karmadata

Entities include: physicians, drugs

Purpose: market research, clinical operations

 

This datacard uses the FDA Orphan Drugs Database to identify top players in the orphan space.

199_FDA_Orphan_Drug_Designations_related_to_139_Organizations___karmadataEntities include: Sponsors, diseases, and drugs

Purpose: business intelligence, market research, and business development.

 

#IceBucketChallenge

abbywellskd —  August 8, 2014 — 1 Comment

I think by now if you are living in or around Boston you have heard of the #IceBucketChallenge to #StrikeoutALS.  The Ice Bucket Challenge was created to raise awareness for support of ALS and more specifically Pete Frates.  Pete is a former Boston College baseball captain who is battling the disease. If you are nominated to complete the challenge, you must film yourself pouring a bucket of ice water on your head, after nominating others to complete the challenge within 24 hours.  By now you have probably seen Pro Athletes, friends, family, and even politicians completing this challenge.

While watching Pete Frates’ video on his site, I learned what rewriting the end of ALS meant to him.  “Rewriting the end of ALS means raising money to get better research for treatment and ultimately finding a cure.”  So if you head over to karmadata, we can dig into the research part of ALS.  You are able to see below that the number of Industry Sponsored ALS trials are declining.  As Pete said, the way to a cure is through research.  We need to raise the amount of research that is being done.

ALS TrialsIf you head over to Sponsor Finder and search for ALS Trials, you will see that there are only 8 companies actively conducting ALS clinical trials.

ALS

 

Lastly, this data card below shows government funding.  John Hopkins University being the top organization who grants money to ALS.

ALS_Grant Money

 

So what does all this mean?  This challenge is to create awareness for ALS and I believe it is working.  When I log in to facebook, it’s the first thing I see and it fills my news feed from top to bottom.  By creating awareness, we are able to become more knowledgable on ALS and more likely to donate to the cause, which will hopefully result in more research.  With all of the visualizations on funding and number of companies/trials, you can see that ALS may not be something people are too aware of.  The Challenge will definitely not cure anything right away, but it is a big step in the right direction!

A couple of us here at karmadata have already donated to ALS and completed the Ice Bucket Challenge, even our CEO Sean Power who completed it last night!  We urge you to visit petefrates.com and donate!  You can also check out the sweet Frate Train gear at petefrates.storenvy.com

 

Vaccine Trials Data Card
California leads the way with roughly 8k EHR Meaningful Use Installs

California leads the way with roughly 8k EHR Meaningful Use Installs

karmadata_Cancer_Investigators

 

 

All these investigators have run trials in the last 5 years.

medicare-reimbursement-drg

Major joint replacements cost Medicare more than $6B in 2011

Yesterday there was quite a bit of buzz about the release of Medicare’s inpatient payments for the top 100 diagnosis related groups.  The Washington Post published some highlights on the data including a neat widget to visualize the data.  We decided to take our own shot at it.  This was a fun dataset for us since we were able to leverage a ton of work that we’ve already done.  We had already standardized entities for hospital, organization, DRG, and city from other CMS datasets.  I downloaded the data at 3 PM and had it up and running on karmadata by 5.  We added a couple of calculated measures for total amount paid by Medicare and discrepancy between amount charged and amount received, and started making datacards.

Here’s what folks are saying:

EMA drug approvals

We recently added the European public assessment reports (EPAR) data set.  Here is a rank of non-generic EMA product approvals since 2009 by company.