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Dataset3 update #7

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46 changes: 38 additions & 8 deletions _includes/about.html
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Expand Up @@ -14,15 +14,9 @@ <h3 class="section-subheading">
It included physicians and patient advocates as well as data stewards and experts in the relevant domain areas from within government.

</p>
<p> The project drew on resources across over a dozen federal agencies/departments including:
Department of Veterans Affairs (VA), United States Patent and Trademark Office (USPTO), National Cancer Institute (NCI),
General Services Administration (GSA), Department of Health and Human Services (HHS), Department of Commerce (DOC)/Census Bureau,
National Institutes of Health (NIH)/National Library of Medicine (NLM), Food and Drug Administration (FDA),
Consumer Financial Protection Bureau (CFPB), Department of Defense (DOD), Centers for Medicare and Medicaid Services (CMS),
Department of Housing and Urban Development (HUD), Department of Energy (DOE), The White House Office of Management and Budget (OMB).
This project represents one of the first instances of a new program that led to new open federal data via machine readable information as defined per
<p> The project drew on resources across over a dozen federal agencies and departments. This project represents one of the first instances of a new program that led to new open federal data via machine readable information as defined per
the newly signed "OPEN Government Data Act" under the "Foundations for Evidence-based Policymaking Act" (signed Jan 15, 2019).
A final demo day will take place on March 1 with cross-agency leadership .
A final demo day will take place on March 1 with cross-agency leadership.

</p>
<p>For more information on:
Expand All @@ -35,6 +29,42 @@ <h3 class="section-subheading">
</p>
</h3>


<div class="col-lg-12 text-center">
<h3 class="section-heading">Tracks</h3>
</div>
<ul>
<li>
<h4 class="section-subheading">AI Ecosystem</h4>
<h6 class="text-muted">Contact: Gil Alterovitz</h6>
<p>
Novel therapeutics, such as those under development in clinical trials, are often a
treatment option
for those patients with serious and life threatening diseases such as cancer. Increasing
patient awareness of
clinical trials is believed to be a factor in reducing time for participant recruitment,
a very large cost categories in
clinical trials. Thus, applying AI to help patients find clinical trials studying novel
therapeutics, may have the
potential to improve patient care and, by aiding in recruitment, reduce drug development
costs.
</p>

</li>
<li>
<h4 class="section-subheading">Lyme Disease</h4>
<h6 class="text-muted">Contact: Kristin Honey</h6>
<p>Lyme disease is a tick-borne bacterial infection that affects more than 300,000 patients
annually in the United States-more Americans than HIV/AIDS and breast cancer combined.
There is no vaccine and an estimated 10-20% of treated Lyme disease patients fail to
recover fully.This work will harness the power of collaboration, citizen science, and
data for Lyme disease. The goal is to create digital tools and data sharing capabilities
for the prevention, education, and science that will support data-driven decisions and
improve public health related to tick-borne disease
</p>
</li>
</ul>

</div>
</div>
</section>
35 changes: 27 additions & 8 deletions _includes/data.html
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Expand Up @@ -6,11 +6,12 @@
<h2 class="section-heading">Data</h2>
<h3 class="section-subheading text-muted">Github repository/data/code will be made available and updated
<a
href="https://github.com/tophealth/tophealth.github.io/tree/master/data">here</a>.</h3>
href="https://github.com/presidential-innovation-fellows/tophealth/tree/master/data">here</a>.
</h3>
</div>
</div>
<div class="row text-center">
<div class="col-md-3">
<div class="col-md-4">
<a href="../data/batch1/Dataset1_First.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
Expand All @@ -20,7 +21,7 @@ <h4 class="service-heading">
</a>
<p class="text-muted"></p>
</div>
<div class="col-md-3">
<div class="col-md-4">
<a href="../data/batch1/Dataset2_First.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
Expand All @@ -30,7 +31,7 @@ <h4 class="service-heading">
</a>
<p class="text-muted"></p>
</div>
<div class="col-md-3">
<div class="col-md-4">
<a href="../data/batch3/Dataset3_First.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
Expand All @@ -40,18 +41,36 @@ <h4 class="service-heading">
</a>
<p class="text-muted"></p>
</div>
<div class="col-md-3">
<hr>
</div>

<div class="row text-center">
<div class="col-md-4">
<a href="../data/batch3/Dataset3_Participants_1-10.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
</span>
<h4 class="service-heading">
<p>Clinician Matches, version 2</p></h4>
</a>
<p class="text-muted section-subheading">Y/N indicates whether an element in the
participant record matches the corresponding eligibility criteria in the protocol record
</p>
<p class="text-muted section-subheading">Y/N indicates whether an element in the
participant record matches the corresponding eligibility criteria in the protocol record
</p>

</div>
<div class="col-md-4">
<a href="../data/batch3/Dataset3_v3.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
</span>
<h4 class="service-heading">
<p>Clinician Matches, version 3</p></h4>
</a>
<p class="text-muted section-subheading">This version adds additional curation (in yellow) for criteria matches
which docs did not use in the matching- but can help the AI learn.
</p>

</div>

</div>
</section>
2 changes: 1 addition & 1 deletion _includes/header.html
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Expand Up @@ -44,8 +44,8 @@
<div class="intro-text">
<div class="intro-lead-in">Welcome Health Sprint!</div>
<div class="intro-heading">We are glad you are here.</div>
<a href="#data" class="page-scroll btn btn-xl">Data</a>
<a href="#about" class="page-scroll btn btn-xl">About</a>
<a href="#data" class="page-scroll btn btn-xl">Data</a>
</div>
</div>
</header>
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4 changes: 2 additions & 2 deletions _site/feed.xml
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Expand Up @@ -5,8 +5,8 @@
<description></description>
<link>http://localhost:4000/</link>
<atom:link href="http://localhost:4000/feed.xml" rel="self" type="application/rss+xml" />
<pubDate>Mon, 14 Jan 2019 11:58:53 -0500</pubDate>
<lastBuildDate>Mon, 14 Jan 2019 11:58:53 -0500</lastBuildDate>
<pubDate>Wed, 13 Feb 2019 17:19:37 -0500</pubDate>
<lastBuildDate>Wed, 13 Feb 2019 17:19:37 -0500</lastBuildDate>
<generator>Jekyll v3.7.4</generator>

</channel>
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133 changes: 58 additions & 75 deletions _site/index.html
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Expand Up @@ -79,6 +79,7 @@
<div class="intro-text">
<div class="intro-lead-in">Welcome Health Sprint!</div>
<div class="intro-heading">We are glad you are here.</div>
<a href="#about" class="page-scroll btn btn-xl">About</a>
<a href="#data" class="page-scroll btn btn-xl">Data</a>
</div>
</div>
Expand All @@ -96,6 +97,40 @@
-->


<!-- About Section -->
<section id="about">
<div class="container">
<div class="row">
<div class="col-lg-12 text-center">
<h2 class="section-heading">About</h2>
</div>
<h3 class="section-subheading">
<p>With the HHS Office of the Chief Technology Officer (CTO), Presidential Innovation Fellows (PIF) jointly pioneered the health tech sprint,
"TOP Health," that chose 10 teams delivering digital tools — built with open federal data and emerging technologies like Artificial Intelligence (AI)
— to improve clinical trials, experimental therapies, and data-driven solutions for complex challenges from cancer to Lyme and tick-borne diseases.
The teams ranged from two international teams (i.e. Microsoft Healthcare and Philips Research) to one originally at a medical
center that officially spun out into a new company specifically based on the AI clinical trial search tool developed during the sprint.
It included physicians and patient advocates as well as data stewards and experts in the relevant domain areas from within government.

</p>
<p> The project drew on resources across over a dozen federal agencies and departments. This project represents one of the first instances of a new program that led to new open federal data via machine readable information as defined per
the newly signed "OPEN Government Data Act" under the "Foundations for Evidence-based Policymaking Act" (signed Jan 15, 2019).
A final demo day will take place on March 1 with cross-agency leadership.

</p>
<p>For more information on:
<p>Sprint results:</p>
<a href="https://www.hhs.gov/cto/blog/2019/1/17/top-health-tech-sprint-unleashes-the-power-of-open-data-and-ai.html">https://www.hhs.gov/cto/blog/2019/1/17/top-health-tech-sprint-unleashes-the-power-of-open-data-and-ai.html</a>
</p>
<p>
<p>Sprint participants:</p>
<a href="https://digital.gov/2018/11/02/health-tech-sprint-aims-at-improving-care-access-experience/">https://digital.gov/2018/11/02/health-tech-sprint-aims-at-improving-care-access-experience</a>
</p>
</h3>

</div>
</div>
</section>
<!-- Services Section -->
<section id="data">
<div class="container">
Expand All @@ -104,11 +139,12 @@
<h2 class="section-heading">Data</h2>
<h3 class="section-subheading text-muted">Github repository/data/code will be made available and updated
<a
href="https://github.com/tophealth/tophealth.github.io/tree/master/data">here</a>.</h3>
href="https://github.com/presidential-innovation-fellows/tophealth/tree/master/data">here</a>.
</h3>
</div>
</div>
<div class="row text-center">
<div class="col-md-3">
<div class="col-md-4">
<a href="../data/batch1/Dataset1_First.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
Expand All @@ -118,7 +154,7 @@ <h4 class="service-heading">
</a>
<p class="text-muted"></p>
</div>
<div class="col-md-3">
<div class="col-md-4">
<a href="../data/batch1/Dataset2_First.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
Expand All @@ -128,7 +164,7 @@ <h4 class="service-heading">
</a>
<p class="text-muted"></p>
</div>
<div class="col-md-3">
<div class="col-md-4">
<a href="../data/batch3/Dataset3_First.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
Expand All @@ -138,91 +174,39 @@ <h4 class="service-heading">
</a>
<p class="text-muted"></p>
</div>
<div class="col-md-3">
<hr>
</div>

<div class="row text-center">
<div class="col-md-4">
<a href="../data/batch3/Dataset3_Participants_1-10.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
</span>
<h4 class="service-heading">
<p>Clinician Matches, version 2</p></h4>
</a>
<p class="text-muted section-subheading">Y/N indicates whether an element in the
participant record matches the corresponding eligibility criteria in the protocol record
</p>
<p class="text-muted section-subheading">Y/N indicates whether an element in the
participant record matches the corresponding eligibility criteria in the protocol record
</p>

</div>
</div>
</section>
<!-- About Section -->
<section id="about">
<div class="container">
<div class="row">
<div class="col-lg-12 text-center">
<h2 class="section-heading">About</h2>
</div>
<h3 class="section-subheading text-muted">
<p>Federal open data is a key driver for health innovation. In addition to research and
development
dollars, the federal government provides key datasets to startups, academia, and industry.
In this tech sprint, this federal open-data ecosystem is used as a platform for industry to
create value for Americans. Participating tech teams will pilot use of novel federal
open-data datasets designed specifically for this sprint, build tools around them,
and present results at a public “Demo Day” event in 2019 with leadership across agencies.
The results will also provide feedback on the types of dataset creation and design that
federal agencies and others can do to promote use of AI and data in this space, and in
general.
</p>
<p>The Opportunity Project (TOP) is a lightweight
process for engaging the tech industry to
create data-driven digital products that benefit
the public and drive economic activity.
<div class="col-md-4">
<a href="../data/batch3/Dataset3_v3.zip"><span class="fa-stack fa-4x">
<i class="fa fa-circle fa-stack-2x text-primary"></i>
<i class="fa fa-database fa-stack-1x fa-inverse"></i>
</span>
<h4 class="service-heading">
<p>Clinician Matches, version 3</p></h4>
</a>
<p class="text-muted section-subheading">This version adds additional curation (in yellow) for criteria matches
which docs did not use in the matching- but can help the AI learn.
</p>
</h3>

<div class="col-lg-12 text-center">
<h3 class="section-heading">Tracks</h3>
</div>
<ul>
<li>
<h4 class="section-subheading">AI Ecosystem</h4>
<p>
Novel therapeutics, such as those under development in clinical trials, are often a
treatment option
for those patients with serious and life threatening diseases such as cancer. Increasing
patient awareness of
clinical trials is believed to be a factor in reducing time for participant recruitment,
a very large cost categories in
clinical trials. Thus, applying AI to help patients find clinical trials studying novel
therapeutics, may have the
potential to improve patient care and, by aiding in recruitment, reduce drug development
costs.
The AI ecosystem project will be piloted by these tech organizations:
Flatiron Health, Microsoft Healthcare, Oracle, Philips (Research),
Rush Medical, and TrialX (in collaboration with the Global Lyme
Alliance).
</p>

</li>
<li>
<h4 class="section-subheading">Lyme Disease</h4>
<p>Lyme disease is a tick-borne bacterial infection that affects more than 300,000 patients
annually in the United States-more Americans than HIV/AIDS and breast cancer combined.
There is no vaccine and an estimated 10-20% of treated Lyme disease patients fail to
recover fully.This work will harness the power of collaboration, citizen science, and
data for Lyme disease. The goal is to create digital tools and data sharing capabilities
for the prevention, education, and science that will support data-driven decisions and
improve public health related to tick-borne disease.

The Lyme and tick-borne diseases track will include: TickTracker,
LivLyme Foundation, and Clyme Health.
</p>
</li>
</ul>
</div>
</div>
</section>


<!-- Timeline Section -->
<section id="timeline">
<div class="container">
Expand Down Expand Up @@ -363,7 +347,6 @@ <h4>Irina Muchnik</h4>

</div>
</section>

<footer>
<div class="container">
<div class="row">
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