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<!DOCTYPE html>
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<h1 style="color:#333333; font-weight:500; text-shadow:none; font-size:50px">Clean the Clutter</h1>
<h2 style="color:#333333; text-shadow:none">Get Better With Data • November 7, 2015</h2>
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<h1 style="color:#333333; font-weight:500; text-shadow:none; font-size:50px">Describe the Disorder</h1>
<h2 style="color:#333333; text-shadow:none">Get Better With Data • November 7, 2015</h2>
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<h1 style="color:#333333; font-weight:500; text-shadow:none; font-size:50px">Model the Mess</h1>
<h2 style="color:#333333; text-shadow:none">Get Better With Data • November 7, 2015</h2>
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<p>
The Get Better with Data hackathon was a great success! Over 70 hackers gathered to explore the cost of
healthcare in the US with the support of about 20 mentors. Thank you to all of the participants and sponsors
for making the event <a href="event.html">spectacular!</a>
</p>
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We are very happy to announce that our event inspired others to hold similar ones. If you are in the
Bay Area and are interested in participating, keep an eye out for Getting Even Better With Data this
Spring. (?)
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Join us for a day-long dive into healthcare data! You will work in <a href="blog-different_tracks.html">small groups</a>
to tackle one part of the data analysis pipeline: data wrangling, descriptive analytics, or predictive modeling.
Project managers and technical experts will be on hand to keep your momentum going. If you need a break and want
to learn something new, there will be plenty of cool speakers discussing topics in healthcare and data science.
We will also have a kick-off event the evening before to meet your group and set up your system so that the next
morning you can all dive into the data right away.
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<b>Kick-off Session</b>: Friday, November 6th at 6:30pm-9:30pm
<br>
<b>Data Dive</b>: Saturday, November 7th at 9:30am-7:30pm
</p>
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<b>Where</b>: Insight Data Science, 45 W 25th St, 9th Fl, New York, NY 10010
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Why are we doing this?
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We want high quality, affordable healthcare. And that's not what we have. So, let’s fix it!
Data can shine a light on what’s wrong with US healthcare. We’ll get together to look at public health-related
data to diagnose the US healthcare system: we know the symptoms, can we find the cause?
</p>
<ul>
<li><strong>Learn:</strong> Learn about the US healthcare system and open source data analysis tools that you can use to work with healthcare data.
</li>
<li><strong>Improve:</strong> Explore the drivers of healthcare cost and brainstorm with us towards a better future for US healthcare.
</li>
<li><strong>Collaborate:</strong> Work with others to achieve a common goal. Learn from the person next to you. Healthcare concerns all of us, let’s fix it together.
</li>
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<h4><i class=""></i>CMS Open Payments </h4>
</div>
<div class="panel-body">
<p>
Has your doctor received money from a pharmaceutical company? Or a medical device maker? The Physician
Sunshine act requires manufacturers of drugs, medical device maker and biologicals to disclose financial
transactions with physicians and hospitals. Dive into the data of all financial transactions in 2013 and
2014 summing up to a total of $3.5 billion (!!!) to shine the light on who pays whom.
</p>
<a href="https://www.cms.gov/OpenPayments/Explore-the-Data/Dataset-Downloads.html" class="btn btn-default">Learn More</a>
</div>
</div>
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<h4><i class=""></i>Elhadad dataset</h4>
</div>
<div class="panel-body">
<br>
<br>
<p>
What research gets picked up by the popular media? The *best* research promising to change patients lives?
Well, maybe? Learn what kind of information makes the news -- maybe not what you’d think!
</p>
<br>
<br>
<a href="https://github.com/bwallace/w3phi-2015" class="btn btn-default">Learn More</a>
</div>
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<h4><i class=""></i>2010 Chronic Conditions PUFs</h4>
</div>
<div class="panel-body">
<br>
<br>
<p>
How expensive are chronic conditions? Study Medicare claims to find out what’s more expensive and by how
much: diabetes or blood pressure? Study the effects of age, gender, and medicare eligibility status
(because the latter should totally matter, right?).
</p>
<br>
<a href="https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/BSAPUFS/Chronic_Conditions_PUF.html" class="btn btn-default">Learn More</a>
</div>
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<h4><i class=""></i>Malpractice claims</h4>
</div>
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<br>
<p>
What makes US healthcare so expensive? Lawsuits, you say? Study a sample of malpractice claims
containing information about payment amounts and the reasons for malpractice (complete with
geolocation data and practitioner license type).
Data aggregated through <a href="http://enigma.io">enigma.io</a>.
</p>
<br>
<br>
<a href="http://www.npdb.hrsa.gov/" class="btn btn-default">Learn More</a>
</div>
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</div>
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<div class="panel-heading">
<h4><i class=""></i>Utilization and Payment Data</h4>
</div>
<div class="panel-body">
<p>
If you suffer from, let’s say, a lung infection; what’s the treatment you’re likely to receive?
Study services received by Medicare beneficiaries including information about the practicing physician,
the performed procedures, and the allowed payment amount complete with geolocation data. Are all lung
infections created equal? Let’s find out.
</p>
<br>
<a href="https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Physician-and-Other-Supplier2013.html" class="btn btn-default">Learn More</a>
</div>
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<div class="panel-heading">
<h4><i class=""></i>SPARCS</h4>
</div>
<div class="panel-body">
<br>
<br>
<p>
What happens when you go to a hospital in NY state? Will you receive the same care? Will you be
equally likely to get readmitted within 30 days? Let’s look at hospital discharge data from 2009
to 2013 to learn more.
</p>
<br>
<br>
<a href="https://health.data.ny.gov/en/browse?q=SPARCS" class="btn btn-default">Learn More</a>
</div>
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<div class="col-md-4">
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<div class="panel-heading">
<h4><i class=""></i>Medical Panel Expenditure Survey</h4>
</div>
<div class="panel-body">
<p>
Learn about the cost and use of healthcare in the US. The Medical Panel Expenditure Panel Survey (MEPS) is a large scale survey of medical spent across families and individuals all over the United States. Sadly, data come in hard to access formats. Let's clean the clutter to learn see how we've utilized healthcare and how much we paid across the years and states.
</p>
<a href="http://meps.ahrq.gov/mepsweb/" class="btn btn-default">Learn More</a>
</div>
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<div class="panel-heading">
<h4><i class=""></i>National Health Interview Survery</h4>
</div>
<div class="panel-body">
<p>
Since 1957, the National Health Interview Survey (NHIS) put the finger on the pulse of the nation. NHIS data are collected through personal household interviews and cover a wide range of health topics. Results have been instrumental in understanding the (health) state of the nation but data are locked away in hard to access files. Help unlock the state of the nation.
</p>
<a href="http://www.cdc.gov/nchs/nhis.htm" class="btn btn-default">Learn More</a>
</div>
</div>
</div>
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<div class="panel panel-default">
<div class="panel-heading">
<h4><i class=""></i>And maybe more ...</h4>
</div>
<div class="panel-body">
<br> </br>
<p>
We are still trawling the internet for more interesting healthcare data. If you've got any ideas, please do reach out. We'd love to hear from you.
</p>
<br> </br>
<a href="contact.html" class="btn btn-default">Contact us</a>
</div>
</div>
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<p>Copyright © Get Better With Data 2015</p>
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