Happy Friday to the Integral community,It’s been a few weeks since the official launch of Integral’s Privacy Workbench. We’ve seen a tremendous rate of adoption of the platform since its inception and are working furiously behind the scenes to improve and scale the platform quickly.We are establishing this blog as a forum for our team to walk through the platform and keep you updated on things we are working on. <h2>This blog will generally take shape in 3 forms:</h2><ol><li>Bi-weekly product updates</li><li>Product development deep dives</li><li>Product-driven market commentary</li></ol>As the inaugural edition of this series, this post will serve as a digital walkthrough of the Privacy Workbench platform.<h2>What is the Privacy Workbench? </h2>Privacy Workbench is a radical departure from the existing set of solutions in the data privacy space.Instead of weeks of manual review, Privacy Workbench introduces a transparent, milestone-based approach to the expert determination process.Our platform breaks down the process of producing an expert report into 4 distinct milestones that are easily tracked and filled with sub-tasks. As a result of this approach, we’re able to produce expert reports at incredible speed and maintain high fidelity in datasets we certify. Let’s take a closer look at navigating Privacy Workbench.&nbsp;👉 Using our Platform 👈 Our platform has 5 different navigation options:<img src="https://imgix.cosmicjs.com/88477840-c607-11ee-8294-5bdacc8e0a52-Static-Overview-of-Menu-1.png" alt="Privacy Workbench Platform">🔍 Inside the Overview TabThe milestone view enables users to monitor progress in real-time and identify pending tasks. This fosters a solid framework for accountability amongst all parties. Within each milestone, a detailed list of associated subtasks offers clear guidance on pending actions and steps to completion.<img src="https://imgix.cosmicjs.com/c6b845a0-c607-11ee-8294-5bdacc8e0a52-Static-Overview-of-Menu-2.png" alt="Introducing Privacy Workbench Platform">Each milestone has a subpage with different tasks associated with it. Each task is configurable with assignee, due date, and status. Below is an example of the Security and Legal subpage:<img src="https://imgix.cosmicjs.com/f669e5b0-c607-11ee-8294-5bdacc8e0a52-Static-Overview-of-Menu-3.png" alt="Security and Legal">📅 Our next edition will walk through the Analytics tab of our platform which visualizes the results from our Privacy Risk Engine and gives insights into privacy-concerning columns and user data.

Introducing Privacy Workbench Platform

Integral, an innovator in safeguarding privacy and maximizing data quality, is proud to announce that it has been named a finalist in the Data Management - Governance category for the prestigious InfoWorld 2023 Technology of the Year Awards.InfoWorld's Technology of the Year Awards recognizes companies that have demonstrated exceptional innovation, leadership, and impact in the technology industry. Integral's inclusion as a finalist in the Data Management - Governance category underscores its commitment to advancing the field through state-of-the-art solutions. Integral’s best-in-class privacy-enhancing platform enables healthcare businesses to work with highly sensitive and regulated data while staying compliant with regulatory requirements.Their newly launched Privacy Workbench introduces a defining level of transparency for evaluating risks embedded within data, while making it more straightforward and faster than ever for companies dealing with sensitive data to optimize datasets for both compliance and fidelity. "We are deeply honored to be recognized as a finalist in the Data Management - Governance category by InfoWorld," said Shubh Sinha, CEO and Founder at Integral. "This acknowledgment is a testament to our relentless pursuit of excellence and innovation in the realm of data privacy and management. We extend our gratitude to InfoWorld for this prestigious recognition."The company's dedication to maintaining the highest standards in data governance aligns with the evolving needs of businesses in an increasingly data-centric world. The InfoWorldTechnology of the Year Awards winners will be announced in mid-November.<h2>About Integral</h2>Founded in 2022, Integral revolutionizes how companies de-identify sensitive health data and ensure HIPAA compliance. With Integral’s Certifications-as-a-Service, companies can effortlessly accelerate and audit data processing, collaborate securely, and unlock new insights quickly and seamlessly. For more information or to get in touch with Integral, visit <a target="_blank" rel="noopener noreferrer nofollow" href="https://useintegral.com/">useintegral.com</a>.

Integral Recognized as a Finalist in InfoWorld's 2023 Technology of the Year Awards for Data Management - Governance

Companies across digital health, life sciences, insurance, and other health verticals are seeing massive growing repositories of healthcare, social, lifestyle, demographic, geographic, and other types of data. These types of data reveal tons of insights about populations at the individual level. For example, analyzing wearable data in combination with prescription data can provide a holistic picture of a person&rsquo;s health and habits; this analysis can produce better preventive care. By doing this at scale, companies can uncover new insights, identify patterns, and improve healthcare outcomes for potentially millions of people, or even billions. However, this combination of sensitive data types also raises significant privacy concerns that must be addressed with the utmost care and sensitivity. Let&rsquo;s start off with the most sensitive data asset for all humans: healthcare data. Healthcare data is one of the most personal and highly revealing types of information available, containing medical records, health histories, and genetic information. Combining this with non-healthcare data such as social media activity, purchasing history, and location data, allows researchers to gain a deeper understanding of a person&#39;s health and lifestyle, which can be invaluable for healthcare research and outcome improvement. However, this combination also poses a significant threat to people&#39;s privacy, as it exposes a wealth of intimate information about individuals. To ensure the privacy of individuals today, companies contract consultants to analyze data and produce a set of privacy risks. These consultants and companies work together to remediate datasets to produce a safe and actionable dataset. However, this process generally takes 8+ weeks because of the heavily manual, human-led processes. Companies cannot afford to wait this long and people cannot afford to receive delayed care. That&rsquo;s why we need automation to preserve privacy yet take advantage of all this data. High data quality and patient privacy need to be accommodated simultaneously, which is no easy task. Doing this will enable companies to be flexible in their approach; they&rsquo;ll be able to experiment freely and understand what is possible and what isn&rsquo;t possible. Most importantly, this will shift the narrative from seeing patient privacy as a blocker to seeing it as an enabler to build trust and win over customers. . For example, people are more willing to participate in healthcare research when they a re confident that their personal information is being protected. Without this trust, companies risk losing valuable insights and opportunities to improve healthcare outcomes and their bottom lines.&nbsp; In conclusion, the combination of healthcare and non-healthcare data has the potential to revolutionize healthcare research and innovation. However, this must be done with great care and sensitivity to protect people&#39;s privacy. The use of automated privacy technology like Integral is critical to achieving this goal, ensuring that personal information is protected, and that people&#39;s privacy rights are respected. By prioritizing privacy and building trust with the public, researchers can unlock the full potential of combined healthcare and non-healthcare data and improve healthcare outcomes for all. # &nbsp;# &nbsp;#

Why Integral Exists

We are thrilled to announce a significant milestone for Integral - the release of our first open-source project: Robin AI. This exciting development tool embodies our commitment to fostering technological innovation and the collaborative spirit intrinsic to the open-source community. 
 
Named after Batman's dependable sidekick, Robin AI represents the invaluable support and assistance that this tool offers to engineering teams, just like Robin does for the Dark Knight. Integral originally developed Robin AI as an internal solution to enhance the performance and resilience of our code. Since its inception, Robin has significantly increased our product development speed and considerably minimized the occurrence of production bugs, thereby enabling us to deliver top-tier software solutions with greater efficiency.
 
Witnessing Robin's impactful contribution to our development process, we couldn't help but wonder - what if we could extend these benefits to other engineering teams and projects? To turn this idea into reality, we decided to package Robin AI as an open-source project, thereby equipping engineering teams with the ability to automate their own code review processes.
 
One of the most striking features of Robin AI is its eerily human-like feedback. Robin will review your code changes and provide constructive feedback to help improve your code. It shines particularly brightly when used with JavaScript repositories, but by design is able to be integrated into any coding environment.
 
Robin AI leverages the power of GPT to understand and analyze your team's code changes. Packaged as a Github action, it is incredibly straightforward to set up and use, allowing you to start benefiting from its features right away.
 
We are humbled and excited by the early adoption and feedback we've received for Robin AI. Already, it has gained 14 stars on Github, and it is being used in three public projects and numerous private repositories. Users have praised its utility and the quality of its insights, a testament to the potential of Robin AI.
 
We invite you and your engineering team to experience the benefits of Robin AI. Try it out on one of your repositories, and we guarantee that you'll appreciate the enhancement it brings to your development process. We also encourage you to share your feedback with us, as it helps us to continuously refine Robin and make it even more beneficial for its users.
 
We hope you will consider supporting the project by giving it a star on Github. Your endorsement not only recognizes the efforts of the team behind Robin AI but also helps spread the word in the open-source community.
 
<center><a target="_blank" 
 href="https://github.com/Integral-Healthcare/robin-ai-reviewer">View the project here</a></center>
 
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