MIMIC-RRS (MedHELM)

MedHELM's gated wrap of MIMIC-RRS on MIMIC-III: generate an Impression from Findings, scored by an LLM jury plus overlap metrics.

Also known as: MIMIC RRS, Radiology Report Summarization

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Categorydomain
Subcategoryradiology findings-to-impression summarization
Page statusactive
Metricmimic_rrs_accuracy (HELM LLM-jury average of accuracy, completeness, clarity, each 1-5)
Directionhigher_is_better
Unitpoints
Dataset licencePhysioNet credentialed access for MIMIC-III source notes; Chen et al. release reconstruction scripts, not a public labelled dump
PublisherStanford University (AIMI / CRFM MedHELM packaging); The Chinese University of Hong Kong, Shenzhen (Chen, Wan)

What it measures

This id is HELM's mimic_rrs scenario. Chen et al. (ACL 2023) released MIMIC-RRS as findings–impression pairs from MIMIC-III and MIMIC-CXR across CT, MR and X-ray and several anatomies. HELM's scenario file states it uses only the MIMIC-III reports, loading test.findings.tok and test.impression.tok from a local directory. The model writes an Impression from Findings. MedHELM's main score is an LLM jury (mimic_rrs_accuracy); overlap metrics are logged as well. English clinical text.

Task format

Zero-shot generation. HELM: "Generate the impression section of the radiology report based on its findings. This will not be used to diagnose nor treat any patients. Be as concise as possible." Input Findings, output Impression, max_tokens=128, max_train_instances=0.

Models reporting this benchmark

No model card in ModelSpec reports this benchmark yet.

Data

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