In this Q&A session, I delve into the critical topic of using Language Learning Models (LLMs) while safeguarding Protected Health Information (PHI) in healthcare settings.
Discover why turning data into numbers isn’t enough for privacy, why you should think twice before using LLM services with PHI, and what strategies can help maintain confidentiality. In this video, I am breaking down the methodologies to ensure you internal databases remain private, even when leveraging powerful LLMs. We’ll explore the ins and outs of Retrieval Augmented Generation (RAG) and how it can be used securely with protected health information (PHI)
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Check out my LinkedIn: https://www.linkedin.com/in/donwoodlock/
Timecodes:
0:00 Introduction: Ensuring Data Privacy with LLMs
00:45 Questions to Answer about Leveraging LLMs with RAG
01:45 Understanding RAG in Healthcare
02:15 Understanding RAG Retrieval & Augmented Generation
03:00 Secure Use of LLM with PHI
03:45 Enterprise Agreements: What You Need to Know
05:10 De-Identification: Challenges and Solutions
06:20 On-Prem LLMs: Pros and Cons
07:00 Conclusion: Summarizing Privacy Concerns with LLMs & RAG
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ABOUT INTERSYSTEMS
Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.
Website: https://www.intersystems.com/
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