Building Trust in AI: A Guide to LLM Evaluations
Large language models (LLMs) are inherently probabilistic, meaning the same input can produce different outputs. That variability makes traditional unit tests, which verify exact results,...
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Large language models (LLMs) are inherently probabilistic, meaning the same input can produce different outputs. That variability makes traditional unit tests, which verify exact results,...
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Artificial intelligence (AI) is fundamentally changing how healthcare software is built. From automated test case generation to intelligent documentation and decision support, large language...
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Care teams, product managers, and operations leaders across healthcare live inside documents: contracts, benefit summaries, clinical policies, internal runbooks, and email threads. These artifacts...
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Imagine this scenario: A critical exception fires in your company’s observability tool. Someone needs to check the logs, categorize the severity, and create a defect in the systems’ project...
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At HealthEdge®, we understand that efficient provider data management is fundamental to delivering quality healthcare. Yet, the reality for many health plans is that maintaining accurate provider...
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As health plans become increasingly reliant on complex software platforms to manage operations, timely access to accurate product information is essential. Yet traditional documentation search...
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AI is reshaping how software gets built—enabling faster delivery, real-time iteration, and deeper collaboration between technical and business teams. At HealthEdge®, we’re exploring how AI-driven...
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Three months ago, I posed a question to our engineering leadership team: “What if we could use AI tools eliminate the mundane and amplify human creativity in every phase of software development?”...
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At HealthEdge, we know that deploying AI tools is just one piece of the puzzle. True transformation happens when people across the organization not only understand what AI can do but also begin to...
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At HealthEdge, AI is becoming a foundational capability that’s changing how we operate from the inside out. In this fireside chat, I had the opportunity to sit down with @Andrew Witkowski, who...
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By Alice Zhan, AI team Part 2: Technical Implementation This is part two of a two-part blog series on HealthEdge’s AI Summarizer feature; this post focuses specifically on the feature’s technical...
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In today’s healthcare environment, care managers are at the heart of improving outcomes for members with complex needs. Yet, the growing volume of documentation, assessments, and free-text notes...
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In our first blog, we explored how HealthEdge’s AI-powered optical character recognition (OCR) platform is transforming prior authorization and other document-heavy workflows. Now, we’re taking...
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I recently had the opportunity to sit down with the HealthEdge Marketing team to understand how they’ve been adopting AI and how that evolution reflects the broader organizational shift toward...
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By Ethan Zhu + Justin Wolkowicz From Burden to Breakthrough: Tackling Document Chaos with AI At HealthEdge, our AI-first approach isn’t about abstract promises. It’s about solving real, persistent...
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At HealthEdge, our AI Team was created with a clear mission: to accelerate the innovation and adoption of AI technologies that deliver real value for both our customers and our internal teams....
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