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update docs for links to work (microsoft#4061)
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* update docs

* update changelog

* update

* update
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Tim Allen authored Aug 8, 2024
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -19,6 +19,7 @@ BUG FIXES:
* Add Dependabot Security updates for July
* Update Docs to format emojis properly ([#4027](https://github.com/microsoft/AzureTRE/issues/4027))
* Update API and Resource Processor opentelemetry versions ([#4052](https://github.com/microsoft/AzureTRE/issues/4052))
* Fix broken links in new Case Study Docs

COMPONENTS:

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8 changes: 4 additions & 4 deletions docs/azure-tre-overview/case-studies.md
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Imperial College London partnered with CloudKubed to address the increasing demands for scalable and centralised research solutions. The challenge was to enhance project visibility, streamline end-to-end research, and improve the management of research projects. CloudKubed implemented a cloud-based Azure Trusted Research Environment (TRE) aligned with Imperial’s strategy and needs.
This TRE integrated approval processes and provided a secure, compliant environment for research. The outcome allowed Imperial to efficiently provision workspaces, facilitate access to research tools, and streamline the entire research process. The partnership significantly improved the efficiency of research operations and compliance with data security measures.

Click [here]("https://www.cloudkubed.com/case-studies/imperial-college-london-trusted-research-environment/") to see the full case study.
Click [here](https://cloudkubed.com/case-studies/imperial-college-london-trusted-research-environment/ "CloudKubed and Imperial College London"){target="_blank"} to see the full case study.

## Building the Trusted Research Environment with Azure Databricks
The importance of secure and scalable data environments in healthcare research has grown, particularly highlighted by the COVID-19 pandemic. The Trusted Research Environments (TREs) enable secure collaboration on sensitive data while maintaining patient privacy. Azure Databricks enhances TREs by offering scalable, secure, and flexible data processing capabilities.
For example, Providence Health used Azure Databricks to reduce hospital overcrowding and improve patient care by leveraging real-time data. The integration of Azure Databricks into the Azure TRE blueprint allows researchers to perform complex data analysis securely, promoting innovative research and improved healthcare outcomes.
The integration of Azure Databricks into the Azure TRE blueprint allows researchers to perform complex data analysis securely, promoting innovative research and improved healthcare outcomes.

Click [here]("https://www.databricks.com/blog/2023/03/27/trusted-research-environments-health-and-life-sciences.html") to see the full case study.
Click [here](https://databricks.com/blog/2023/03/27/trusted-research-environments-health-and-life-sciences.html "Building the Trusted Research Environment with Azure Databricks"){target="_blank"} to see the full case study.

## Data Saves Lives: Lessons to Enable Healthcare Research by PA Consulting
The UK Government's investment in secure data environments (SDEs) aims to make health data more accessible for research, enhancing patient outcomes and accelerating life sciences research.
Key lessons from implementing SDEs include leveraging cloud technologies for scalability, publicising access and pricing to facilitate research, and improving communication to drive public consent. Establishing clear data roles and shared services, building trust through transparency, and starting small to scale effectively are critical for success.
These steps ensure that health data can be used ethically and efficiently, transforming care and services in the UK.

Click [here]("https://www.paconsulting.com/insights/data-saves-lives-lessons-to-enable-healthcare-research") to see the full case study.
Click [here](https://paconsulting.com/insights/data-saves-lives-lessons-to-enable-healthcare-research "Data Saves Lives: Lessons to Enable Healthcare Research by PA Consulting"){target="_blank"} to see the full case study.
1 change: 1 addition & 0 deletions mkdocs.yml
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- pymdownx.emoji:
emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:material.extensions.emoji.to_svg
- attr_list

nav:
- Overview: # Pages to explain what the Azure TRE
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