Summary of Ambient Ai Scribing Support: Comparing the Performance Of Specialized Ai Agentic Architecture to Leading Foundational Models, by Chanseo Lee et al.
Ambient AI Scribing Support: Comparing the Performance of Specialized AI Agentic Architecture to Leading Foundational Models
by Chanseo Lee, Sonu Kumar, Kimon A. Vogt, Sam Meraj
First submitted to arxiv on: 11 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study compares Sporo Health’s AI Scribe, a proprietary model fine-tuned for medical scribing, with various large language models (LLMs) in clinical documentation. The models were evaluated using de-identified patient transcripts from partner clinics, with clinician-provided SOAP notes serving as the ground truth. Each model generated SOAP summaries using zero-shot prompting, and performance was assessed via recall, precision, and F1 scores. Sporo outperformed all models, achieving high recall (73.3%), precision (78.6%), and F1 score (75.3%) with low variance. Statistically significant differences were found between Sporo and other models, including GPT-3.5, Gemma-9B, and Llama 3.2-3B. Clinical user satisfaction favored Sporo, indicating more accurate and relevant outputs. This highlights the potential of Sporo’s architecture to improve clinical workflows. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study compares a special AI model made by Sporo Health with other language models for writing medical reports. The models were tested using real patient records from doctor’s offices, and the results showed that Sporo’s model did best. It was able to write accurate and relevant reports most of the time. Doctors liked Sporo’s model because it gave them more helpful information. This shows that Sporo’s AI can help make medical work easier and better. |
Keywords
» Artificial intelligence » F1 score » Gpt » Llama » Precision » Prompting » Recall » Zero shot
