Disambiguation of ambiguous portions of content for processing by automated systems

This invention describes a system that can read electronic text, find parts that are unclear, and then use the surrounding information to figure out what those unclear parts actually mean. It then marks up the text with the correct meaning. Specifically, the system is designed to process patient medical records, interpret ambiguous notes made by doctors, and use that understanding to suggest treatment recommendations.

Why it matters: Filed before the widespread capabilities of advanced Large Language Models (LLMs) were fully realized. These models are now much better at understanding context and disambiguating natural language, especially in specialized domains like medicine, making the core task significantly more achievable and effective than in 2021.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data processing system, medical NLP

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