I Ran OpenAI’s New Open Model on My Laptop to Extract Medical Data — Here’s What Happened
Last Updated on August 28, 2025 by Editorial Team
Author(s): Marie Humbert-Droz, PhD
Originally published on Towards AI.
Testing privacy-first healthcare AI with OpenAI’s first open-weight models
OpenAI just released its first family of open-weight models, and I couldn’t resist testing them on one of healthcare’s trickiest problems: extracting structured data from messy clinical notes.
The article discusses the challenges of extracting structured clinical data from unstructured medical notes and explores OpenAI’s recently launched local models designed for this purpose. By testing the gpt-oss-20b model, the author found that it successfully navigated complex clinical documentation, producing accurate JSON outputs that can significantly enhance workflows in healthcare settings. While the results were promising, the author cautions that real-world application will require further validation, especially in more complex clinical scenarios.
Read the full blog for free on Medium.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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