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maryamv committed May 15, 2024
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7 changes: 4 additions & 3 deletions content/about.md
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Expand Up @@ -10,8 +10,7 @@ aliases = ["about-us", "about-jupyterhealth", "contact"]

To create a smarter, more connected, and patient-centered future, explore our open platform that enhances data accessibility and supports informed decision-making for healthcare researchers, clinicians, and patients.

<!-- {{< adding-portfolio >}}
{{< profiles >}} -->
<!-- [Go to Modular Section](#modular-platform) -->


## **Modular Platform Overview**
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<br>

---
<!-- In HTML -->
<h2 id="modular-platform"></h2>

## **JupyterHealth Modular Platform**
JupyterHealth will be a modular platform consisting of open-source components that span the life cycle of digital health research, development, and deployment. Our approach ensures that each module can function independently or in conjunction, providing flexibility and scalability to meet diverse healthcare needs. Below is a detailed overview of each module:
Expand All @@ -59,7 +60,7 @@ JupyterHealth will be a modular platform consisting of open-source components th

* **Data Standardization and Transformation:** Utilizing tools to standardize and filter data from disparate health data sources, making it easier to work with and analyze. More specifically this will include at least the following:
* Tools to standardize wearable data to [Open mHealth](https://www.openmhealth.org/documentation/#/overview/get-started) and [FHIR formats](https://build.fhir.org/ig/HL7/cimi-vital-signs/)
* templates for other transformations.
* Templates for other transformations.

<br>

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14 changes: 8 additions & 6 deletions content/community.md
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Expand Up @@ -35,16 +35,18 @@ JupyterHealth champions open-source principles and values, welcoming contributio
**Realistic Expectations:** We are candid about being in the development phase, which allows for substantial customization and influence over future capabilities. Early collaborators are crucial, helping us refine our offerings to better meet the diverse needs of the healthcare sector.

**Potential use cases**
* **Digital Health Researchers:** Developing new biomarkers by integrating data from wearables and EHRs to enhance treatment strategies.
* **Public Health Researchers:** Assessing environmental impacts on health, such as studying air quality and respiratory diseases using public and health data.
* **Population Health Researchers:** Analyzing socio-economic and healthcare access data to improve chronic disease management in underserved areas.
* **Service Providers and Platform** Providers: Creating predictive models from patient-generated data to reduce readmissions and enhance patient care.
* **Data Holders and Educational** Institutions: Facilitating access to anonymized data for research and educational purposes, fostering a data-driven approach in medical education and research.
* **Digital Health Researchers --** e.g. Developing new biomarkers by integrating data from wearables and EHRs to enhance treatment strategies.
* **Public Health Researchers --** e.g. Assessing environmental impacts on health, such as studying air quality and respiratory diseases using public and health data.
* **Population Health Researchers --** e.g. Analyzing socio-economic and healthcare access data to improve chronic disease management in underserved areas.
* **Service and Platform Providers --** e.g. Building predictive algorithms derived from patient-generated data. Service providers could create tools that predict patient health events based on continuous monitoring data, potentially reducing hospital readmissions.
* **Data Holders and Educational Institutions --** e.g. Facilitating access to anonymized data for research and educational purposes, fostering a data-driven approach in medical education and research.



---

## **Call to Action**
**Are you ready to break new ground in healthcare data management and analytics?** We invite you to join us at the forefront of this exciting movement. Whether through direct collaboration or by using JupyterHealth independently, your involvement is crucial. Share your innovative ideas with us, and let’s transform the healthcare landscape together.
**Are you ready to break new ground in healthcare data management and analytics?** We invite you to join us at the forefront of this exciting movement. Whether through direct collaboration or by using JupyterHealth independently, your involvement is crucial. Share your innovative ideas with us, and let’s transform the healthcare landscape together. [Let's talk!](https://docs.google.com/forms/d/e/1FAIpQLSf66RoskvOgvgecltyvo5QMl6lRZLXk6sB4GJqu0I_xJG6ACg/viewform)



10 changes: 9 additions & 1 deletion content/cores.md
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Expand Up @@ -6,25 +6,33 @@ aliases = ["partnership", "collaborate-jupyterhealth", "contact"]
+++


JupyterHealth leverages its expertise across four pivotal domains, ensuring a comprehensive and integrated approach to healthcare data management and analysis. Each domain is designed to empower researchers, clinicians, and data scientists with the tools they need to excel in their fields. Our platform is inherently modular, allowing organizations to either deploy full stack or select individual components based on their specific requirements.
JupyterHealth leverages its expertise across four pivotal domains, ensuring a comprehensive and integrated approach to healthcare data management and analysis. Each domain is designed to empower researchers, clinicians, and data scientists with the tools they need to excel in their fields. Our platform is inherently modular, allowing organizations to either deploy full stack or select individual components based on their specific requirements. [Learn more about JupyterHealth Modular Platform](/about/#modular-platform)

<h2 id="data-standards"></h2>

![DataANDStandards](/images/Data.png)
<!-- ## **Data & Standards** -->
* **Data Ingestion:** Integrate data from wearable devices, electronic health records, and other key health data sources.
* **Secure Data Management:** Implementing robust identification, authentication, and authorization practices to ensure controlled and compliant access to health data.
* **Standardization** for Interoperability: Aligning with HL7 FHIR and IEEE/Open mHealth standards to facilitate seamless data integration and integrity across various systems.

<h2 id="computation"></h2>

![DataANDStandards](/images/Computation.png)
<!-- ## **Computation** -->

* **Container-Friendly Deployment:** Utilizing modern container technologies like for scalable, flexible deployments—whether on-premises or in the cloud.
* **Optimized Data Processing:** Efficient data handling mechanisms that support extensive data analysis tasks, reducing processing times and enhancing computational efficiency.

<h2 id="tools"></h2>

![DataANDStandards](/images/Tools.png)
<!-- ## **Tools** -->
* **Versatile Tool Integration:** Supporting a variety of computational tools and interfaces, such as Jupyter Notebook, Jupyter Lab, Viola, and more, tailored to meet the diverse needs of the healthcare community.
* **Customization and Usability:** Offering user-friendly interfaces and customizable environments that cater to specific user requirements, from clinical researchers to data scientists.

<h2 id="community"></h2>

![DataANDStandards](/images/Comm.png)
<!-- ## **Community** -->
* **Collaborative Ecosystem:** Building a supportive community that encourages sharing, innovation, and collective problem-solving among healthcare professionals, researchers, and technology developers.
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8 changes: 4 additions & 4 deletions data/home/cores.yaml
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text: "Ensure compliance and interoperability across healthcare systems with our robust data management practices and adherence to HL7 FHIR and IEEE/Open mHelath standards."
button:
label: "Learn more"
url: "cores"
url: "cores/#data-standards"

- image: "images/Computation.png"
# title: "Computation"
title: "Powerful and Scalable"
text: "Leverage cutting-edge container technologies for flexible, cloud-based deployments that scale with your needs, enhancing computational efficiency."
button:
label: "Learn more"
url: "cores"
url: "cores/#computation"

- image: "images/Tools.png"
# title: "Tools"
title: "Customizable and Versatile"
text: "Access a suite of tools from JupyterHub, tailored to meet diverse healthcare and research requirements with user-friendly, adaptable interfaces."
button:
label: "Learn more"
url: "cores"
url: "cores/#tools"

- image: "images/Comm.png"
# title: "Community"
title: "Collaborative and Supportive"
text: "Join a thriving community fostering innovation through shared expertise, and ongoing dialogue among healthcare professionals & technologists."
button:
label: "Learn more"
url: "cores"
url: "cores/#community"
162 changes: 4 additions & 158 deletions public/about/index.html
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Expand Up @@ -213,163 +213,7 @@ <h2 class="display-1 fw-bold text-center text-primary pb-3">About</h2>
<div class="blog-content fs-5">
<!-- <p style="text-align: center; font-weight: 500; font-size: 36px">We Are Reimagining How Data Drives Healthcare.</p> -->
<p>To create a smarter, more connected, and patient-centered future, explore our open platform that enhances data accessibility and supports informed decision-making for healthcare researchers, clinicians, and patients.</p>
<!--
<section class="section portfolio">
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</div>
<div class="col-12 col-xl-6 d-flex flex-column justify-content-center">
<p class="text-danger fw-semibold mb-2">Portfolio Service</p>
<h3 class="fs-1 fw-bold text-primary pb-3">We developed an eCommerce website</h3>
<p class="text-black-61 pb-3">Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque sed euismod quis sit gravida pharetra sit. Cursus vel enim pretium vulputate semper sem elit magna neque. Aliquet adipisc.</p>
<div class="">
<a class="text-decoration-none me-3" href="#">See live</a>
<a class="text-decoration-none me-3" href="#">Read more</a>
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<div class="col-12 col-xl-6 d-flex flex-column justify-content-center">
<img class="img-fluid" src="http://localhost:1313/images/portfolio-ecommerce.png" alt="/images/portfolio-ecommerce.png" width="1426" height="1425">
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<div class="col-12 col-xl-6 d-flex flex-column justify-content-center">
<p class="text-danger fw-semibold mb-2">Portfolio Service</p>
<h3 class="fs-1 fw-bold text-primary pb-3">We developed an eCommerce website</h3>
<p class="text-black-61 pb-3">Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque sed euismod quis sit gravida pharetra sit. Cursus vel enim pretium vulputate semper sem elit magna neque. Aliquet adipisc.</p>
<div class="">
<a class="text-decoration-none me-3" href="#">See live</a>
<a class="text-decoration-none me-3" href="#">Read more</a>
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<div class="col-12 col-xl-6 d-flex flex-column justify-content-center">
<img class="img-fluid" src="http://localhost:1313/images/portfolio-ecommerce.png" alt="/images/portfolio-ecommerce.png" width="1426" height="1425">
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<div class="col-12 col-xl-6 d-flex flex-column justify-content-center">
<p class="text-danger fw-semibold mb-2">Portfolio Service</p>
<h3 class="fs-1 fw-bold text-primary pb-3">We developed an eCommerce website</h3>
<p class="text-black-61 pb-3">Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque sed euismod quis sit gravida pharetra sit. Cursus vel enim pretium vulputate semper sem elit magna neque. Aliquet adipisc.</p>
<div class="">
<a class="text-decoration-none me-3" href="#">See live</a>
<a class="text-decoration-none me-3" href="#">Read more</a>
</div>
</div>
</div>
</div>
</section>
<section class="section services py-5">
<div class="container">
<div class="row justify-content-center pb-5">
<div class="col-12 col-xl-6">
<h3 class="fs-1 fw-bold text-center text-primary pb-3">Our Core Ideals</h3>
<p class="text-black-61 text-center pb-3">Guided by open innovation and driven by community, JupyterHealth&#39;s Vision, Mission, and Values delineate our aspirations, define our actions, and describe our culture.</p>
</div>
</div>
<div class="row g-5">
<div class="col-12 col-xl-4">
<div class="card bg-blue-16 border-0 border-radius-34 p-4">
<img class="img-fluid" src="http://localhost:1313/images/Vision.png" alt="/images/Vision.png" width="393" height="303">
<div class="card-body text-">
<h4 class="card-title text-center text-primary pb-4">Unlocking the Full Potential of Personalized Health Data</h4>
<p class="card-text text-black-61 pb-4">We aim to empower healthcare systems by enabling advanced, cloud-based analytics and insights across all research and clinical practices. Our open-source platform not only supports seamless integration and real-time data processing but also fosters the development of personalized treatment pathways, significantly enhancing research capabilities and patient care outcomes.</p>
</div>
</div>
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<div class="card-body text-">
<h4 class="card-title text-center text-primary pb-4">Advancing Patient Care through Collaborative Innovation</h4>
<p class="card-text text-black-61 pb-4">At JupyterHealth, we are committed to transforming healthcare research and patient care with our open innovative cloud-based solutions. Our collaborative platform, supported by a dedicated development team, is continually refined with input from our diverse community of researchers, clinicians, and technologists to meet evolving healthcare challenges.</p>
</div>
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<div class="card bg-blue-16 border-0 border-radius-34 p-4">
<img class="img-fluid" src="http://localhost:1313/images/Values.png" alt="/images/Values.png" width="393" height="303">
<div class="card-body text-">
<h4 class="card-title text-center text-primary pb-4">Collaborative Foundations</h4>
<p class="card-text text-black-61 pb-4">Our core values of innovation, collaboration, and openness drive us to build a healthier future together. With expertise from Project Jupyter, 2i2c, The Commons Project, BIDS, CPH and leading healthcare organizations, we create scalable, accessible data management solutions that empower researchers and clinicians. Our commitment to open-source development and community engagement ensures that we meet today&#39;s healthcare challenges and innovate for tomorrow&#39;s opportunities.</p>
</div>
</div>
</div>
</div>
</div>
</section>
-->
<!-- [Go to Modular Section](#modular-platform) -->
<h2 id="modular-platform-overview"><strong>Modular Platform Overview</strong></h2>
<p><strong>Empowering Healthcare with Modular Platform:</strong>
JupyterHealth introduces a modular platform composed of opens-source components that span the entire lifecycle of digital health research, development, and deployment. From data ingestion involving wearable and clinical data to advanced data analysis and presentation via JupyterHub and Voila, each component is designed to operate independently or in conjunction. This modular setup not only supports rigorous health data standards like HL7 FHIR and Open mHealth but also offers customizable environments to suit diverse operational needs – from secure data storage and robust authentication systems to real-time data processing and scalable infrastructure.</p>
Expand All @@ -387,6 +231,8 @@ <h2 id="why-choose-jupyterhealth"><strong>Why Choose JupyterHealth?</strong></h2
In partnership with <a href="https://jupyter.org/">Project Jupyter</a> and International Interactive Computing Collaboration (<a href="https://2i2c.org/">2i2c</a>), we advance interactive computing to support healthcare research and clinical practice. JupyterHub centralizes access to computational tools, removing the burden of software management and allowing healthcare professionals to concentrate on patient outcomes rather than IT overhead. Our platform is scalable and customizable, ensuring it meets the diverse needs of the healthcare community.</p>
<br>
<hr>
<!-- In HTML -->
<h2 id="modular-platform"></h2>
<h2 id="jupyterhealth-modular-platform"><strong>JupyterHealth Modular Platform</strong></h2>
<p>JupyterHealth will be a modular platform consisting of open-source components that span the life cycle of digital health research, development, and deployment. Our approach ensures that each module can function independently or in conjunction, providing flexibility and scalability to meet diverse healthcare needs. Below is a detailed overview of each module:</p>
<br>
Expand All @@ -406,7 +252,7 @@ <h2 id="jupyterhealth-modular-platform"><strong>JupyterHealth Modular Platform</
<li><strong>Data Standardization and Transformation:</strong> Utilizing tools to standardize and filter data from disparate health data sources, making it easier to work with and analyze. More specifically this will include at least the following:
<ul>
<li>Tools to standardize wearable data to <a href="https://www.openmhealth.org/documentation/#/overview/get-started">Open mHealth</a> and <a href="https://build.fhir.org/ig/HL7/cimi-vital-signs/">FHIR formats</a></li>
<li>templates for other transformations.</li>
<li>Templates for other transformations.</li>
</ul>
</li>
</ul>
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