Article

Leveraging Large Language Models on Automating Outpatients’ Message Classifications of Electronic Medical Records

2025-07-03

Abstract excerpt

Due to the proliferation of digital equipment and testing, hospitals and clinics generate vast amounts of unstructured textual data on a daily basis. These include electronic health records (EHR), clinical and doctor’s notes, provider-patient communications, and administrative messages. Efficient classification of these messages is critical for enhancing workflow automation, clinical decision-making, and operation...

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Literature Corpus work: 7bbdf608-046b-5119-a1ed-3f4cbb5fea28
DOI: 10.20944/preprints202507.0323.v1

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