Скачать или смотреть Context Engineering in Healthcare: From Complex Medical Charts to Concise Summaries

Steven Wise, A.I. P.O./Context Engineer – Emerging Technology APPs at SCAN Health Plan, and Sardeep Giran, Director of Integrated Care Case Management at SCAN Health Plan – Embrace present “Context Engineering in Healthcare: From Complex Medical Charts to Concise Summaries.”

Timestamps:
(00:00) How Scan Health Plan built an AI for clinical summaries
(02:05) The challenge — thousands of medical pages daily
(03:51) The breakthrough idea: context engineering
(05:31) Why early LLM summaries failed in healthcare
(06:20) Precision, relevance, and restoring time to care teams
(07:43) Behind the platform — OCR, Azure, and OpenAI models
(09:02) The PTO method — persona, task, output
(12:24) Extracting vs summarising: guiding LLM reasoning
(13:35) Building clinical-grade prompts and fill-in templates
(15:11) LLM-as-a-Judge — automating quality testing
(16:18) Clinical results — faster reviews and better coordination
(17:29) Continuous model evaluation and responsible AI in practice
(18:15) Final thoughts — accuracy, teamwork, and safe innovation

Are you looking to get accurate medical chart summaries from your LLM when working with unstructured clinical charts? This session shares the story behind SCAN-X Embrace, SCAN Health Plan’s custom-built AI solution for generating clinical-grade summaries.

The talk explores the complexities of building trustworthy summarization tools for healthcare, including the roadblocks that nearly led to the project being sunsetted. That changed with the introduction of Context Engineering—reshaping the project’s trajectory and transforming SCAN-X Embrace into one of the earliest and most effective applications of context-aware summarization in clinical workflows.

What You’ll Learn:
• How to apply Context Engineering to improve LLM accuracy in healthcare.
• The technical principles of context engineering, its operational mechanisms, and strategies for thinking like a context engineer.
• Real-world lessons from building internal AI tools clinicians actually use.
• A practical framework for mastering context-aware summarization.
Whether you’re a data scientist, engineer, or clinical innovator, this talk equips you with the thinking and techniques to become a master context engineer and unlock the full potential of your clinical data.

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