Overview
Client X, a safety-focused LLM for Healthcare, faced the critical task of developing a Large Language Model (LLM) using unstructured data, specifically doctors' notes detailing patient conditions and treatment information within hospital settings. The goal was to create a text-based interface that empowers patients to receive personalized preventative healthcare. Integral and Skyflow's platforms, combined with their domain expertise in data privacy and compliance, positioned them as the optimal partners for Client X.
Expert Guidance and Collaboration
Working with unstructured data, such as doctors' notes, presents unique challenges when developing LLMs. This type of data is notorious for its complexity and the difficulty in accurately parsing essential information, especially when compared to structured data. Unstructured data often contains Protected Health Information (PHI), which, if not properly removed, can leak into the LLM and compromise patient privacy. Moreover, regulated data in general poses several key challenges, including:
- Data volume and velocity: The amount of regulated data is growing exponentially, and it is becoming increasingly difficult to store and process at scale. In addition, the data is coming in at a much faster rate, which puts a strain on storage and analytics systems.
- Data variety: Regulated data comes in a variety of formats, including structured, unstructured, and semi-structured data. This makes it difficult to integrate and analyze the data.
- Data quality: Regulated data is often incomplete, inaccurate, and inconsistent. This can lead to inaccurate diagnoses and treatments.
- Data security and privacy: Regulated data is highly sensitive and must be protected from unauthorized access. This can be a challenge, as organizations need to balance security with the need to share data for research and other purposes.
- Data governance: Organizations need to have a clear data governance policy in place to ensure that data is managed and used appropriately. This can be a challenge, as organizations often have multiple systems and data sources.
Integral and Skyflow's understanding of the regulatory landscape, privacy-enhancing data practices, and expertise in both healthcare and consumer data helped Client X navigate the complexities of the embedded risks inherent in regulated data. By enabling open communication and detailed insights into embedded risk factors and working with Client X to retain the highest data fidelity possible, Integral and Skyflow provided a master expert determination report that enables Client X to move forward with confidence.
Key actions in the workflow:
- The Integral-Skyflow partnership efficiently processed Client X's datasets to meet regulatory standards.
- Skyflow leveraged proprietary algorithms and workflows to detect and de-identify sensitive data
- Integral certified the clean data, ensuring that it meets the most stringent privacy requirements
- The end-to-end data processing was performed in a compliant environment, ensuring the highest standards of data privacy and security.
The collaboration between Client X, Integral, and Skyflow was marked by clarity and strategic support, with ongoing communication ensuring the alignment of remediation recommendations with Client X's needs and strict adherence to regulatory standards.
"Working with Skyflow's secure data infrastructure, algorithms efficiently parsed unstructured doctors' notes, extracting key medical information while preserving critical context. We then applied our Privacy Engine's statistical models to assess re-identification risks and strategically redact sensitive elements. This approach allowed us to transform complex medical narratives into a privacy-preserving, ML-ready dataset for Client X's LLM development, maintaining crucial insights while leveraging Skyflow's compliant environment."
- Shubh Sinha, Cofounder & CEO and Integral
Proven Solutions for Compliance and Efficiency
Integral's Privacy Engine and Skyflow's Data Privacy Vault are uniquely designed to support rigorously navigating embedded risks present within PHI and other privacy-sensitive datasets, providing a tailored solution that addresses each client's specific needs. Through the partnership, Integral and Skyflow manage the end-to-end flow of data, from ingestion to remediated output, which significantly reduces the need for limited and often expensive internal resources required to fulfill the requirements of an expert determination report.
Thanks to the Integral-Skyflow partnership, Client X received their desired dataset in just 7 business days, a 90% reduction compared to the industry standard of 12+ weeks. Moreover, the partnership delivered cost savings compared to alternative market offerings. The custom data processing pipelines and monitoring processes implemented by Integral and Skyflow ensured the delivered dataset was of the highest quality, further enhancing the value provided to Client X.
The Outcome of Strategic Partnership
By synchronizing Skyflow Data Privacy Vault with Integral’s Privacy Engine, the two organizations partnered to create a solution that enabled data ingestion, transformation, de-identification, and certification – all in one fully compliant environment. The Skyflow Data Privacy Vault processed Client X's unstructured data, detecting and de-identifying sensitive values. The Integral Privacy Engine then seamlessly processed the output of the Data
Privacy Vault for privacy assessment, parsing through all of the data elements, applying a variety of privacy models rooted in statistical analysis, and remediating the dataset to ensure patient privacy and analytic value were maximized. Once processing was complete, Skyflow removed any flagged files from the final delivery to the client.
The strategic partnership yielded significant benefits for Client X, enhancing their ability to access and analyze sensitive data within a secure and compliant framework. The combination of Integral's Privacy Engine, and Skyflow's Data Privacy Vault, along with the transparency and collaboration of both teams, empowered Client X to confidently pursue the development of their LLM.
Conclusion
The collaboration between Client X, Integral, and Skyflow highlights the importance of transparency, guidance, and efficiency in achieving regulatory compliance with privacy-sensitive data. The Integral-Skyflow approach provided Client X with a robust foundation to securely, rapidly, and cost-effectively advance its LLM development goals, outperforming traditional solutions.
"By combining Skyflow's best-in-class data privacy infrastructure with Integral’s data certification technologies, we were able to deliver a tailored solution that met Client X's needs faster and more cost-effectively than alternatives. This engagement demonstrates the power of our partnership to accelerate innovation in healthcare and beyond, and we look forward to supporting more clients in responsibly harnessing sensitive data for impactful LLM applications."
- Amruta Moktali, Chief Product Officer, Skyflow
Integral and Skyflow's partnership empowers companies to safely and efficiently leverage sensitive data, enabling them to confidently experiment with regulated datasets and drive innovation without compromising privacy.
About Integral
Integral enables companies to safely leverage regulated data at unprecedented speeds by automating the data de-identification and compliance certification process, allowing our customers to stay agile and iteratively drive outcomes. www.useintegral.com
About Skyflow
Skyflow is a data privacy and AI privacy company built to radically simplify how companies isolate, protect, and govern their customers’ most sensitive data. With its global network of data privacy vaults, Skyflow is a comprehensive solution for companies around the world looking to securely implement LLMs and meet complex data localization requirements. Skyflow currently supports a diverse customer base that spans verticals like fintech, retail, travel, and healthcare.
Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com or follow us on LinkedIn and X.
