Summary of Clibench: a Multifaceted and Multigranular Evaluation Of Large Language Models For Clinical Decision Making, by Mingyu Derek Ma et al.
CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
by Mingyu Derek Ma, Chenchen Ye, Yu Yan, Xiaoxuan Wang, Peipei Ping, Timothy S Chang, Wei Wang
First submitted to arxiv on: 14 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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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 The integration of Large Language Models (LLMs) into clinical diagnosis processes has significant potential to improve medical care efficiency and accessibility. While LLMs have shown promise in the medical domain, their application in real-world clinical practice remains underexplored. To bridge this gap, we introduce CliBench, a novel benchmark developed from the MIMIC IV dataset, offering a comprehensive assessment of LLMs’ capabilities in clinical diagnosis. CliBench covers diagnoses from diverse medical cases across various specialties and incorporates tasks like treatment procedure identification, lab test ordering, and medication prescriptions. This benchmark enables precise evaluation, providing an in-depth understanding of LLMs’ capability on diverse clinical tasks. We conduct a zero-shot evaluation of leading LLMs to assess their proficiency in clinical decision-making. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models (LLMs) can help doctors make better decisions by using patient information and medical records. But we don’t know how well they work yet. That’s because current tests are too simple or only focus on one type of diagnosis. To fix this, we created a new test called CliBench that uses real-world data from MIMIC IV. This test checks how well LLMs can make decisions about different medical cases and types of diagnoses. We also looked at what happens when doctors use these models to help make decisions. |
Keywords
* Artificial intelligence * Zero shot
