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Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation

2025-07-02

Abstract excerpt

<h4>Background</h4> Clinical documentation represents a significant burden for healthcare providers, with physicians spending up to 2 hours daily on administrative tasks. Recent advances in large language models (LLMs) offer promising solutions, but privacy concerns and computational requirements limit their adoption in healthcare settings. <h4>Objective</h4> To develop and evaluate a privacy-preserving, on-devi...

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Literature Corpus work
ecd00219-7387-5d84-b199-33c26e20269a
DOI
10.1101/2025.07.01.25330679
Open publication

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Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note GenerationDOI 10.1101/2025.07.01.25330679
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