Resources
24 results for "medical discharge summaries"
Database
Credentialed Access
MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters
While increasing patients' access to medical documents improves medical care, this benefit is limited by varying health literacy levels and complex medical terminology. Large language models (LLMs) offer solutions by simplifying medical information.…
Challenge
Credentialed Access
SNOMED CT Entity Linking Challenge
This challenge, sponsored by SNOMED International, seeks to advance the development of Entity Linking models that operate on unstructured clinical texts. Participants in the challenge will train entity linking models using a subset of MIMIC-IV-Note …
Database
Credentialed Access
MIMIC-IV-Ext-DeVisE. Counterfactual ICU Admission Notes for Behavioral Evaluation of Medical Language Models
MIMIC-IV-Ext-DeVisE contains counterfactual ICU admission notes designed to enable controlled behavioral evaluation of medical large language models (LLMs) to clinically meaningful perturbations in patient data. It was created as part of the DeVisE …
Database
Credentialed Access
Medication Extraction Labels for MIMIC-IV-Note Clinical Database
This dataset release provides medication extraction labels for a subset of 600 discharge summaries from the 2023 MIMIC-IV-Note dataset. These labels are consistent with the schema from the 2009 i2b2 Workshop on NLP Challenges dataset. We utilized a …
Database
Credentialed Access
MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation
The VeriFact-BHC dataset is designed to verify the factuality of long-form text written about a patient against their own electronic health record. There is increasing interest in using large language models (LLMs) to generate clinical text in patie…
natural language processing
clinical informatics
formal logic
clinical notes
chart review
text embedding
brief hospital course
long-form text
logical atomism
retrieval-augmented generation
text reranking
clinical medicine
atomic claim
fact verification
hybrid retrieval
llm-as-a-judge
llm evaluation
electronic health records
large language models
artificial intelligence
Database
Credentialed Access
MIMIC-IV-Ext-EntityCoding: Clinical Named Entity Recognition and Assertion Classification Dataset for ICD Coding
This dataset provides clinical Named Entity Recognition (NER) and Assertion Classification (AC) annotations for 400 discharge summaries from MIMIC-IV-Note (v2.2), designed to support research on computer-assisted ICD coding and related clinical natu…
Database
Credentialed Access
Medical Expert Annotations of Unsupported Facts in Doctor-Written and LLM-Generated Patient Summaries
Large language models in healthcare can generate informative patient summaries while reducing the documentation workload of healthcare professionals. However, these models are prone to producing hallucinations, that is, generating unsupported inform…
Database
Credentialed Access
MIMIC-IV-Ext-MedicalBench: Evaluating Large Language Models Towards Improved Medical Concept Extraction
Medical concept extraction from electronic health records underpins many downstream applications, yet remains challenging because medically meaningful concepts, such as diagnosis, are frequently implied rather than explicitly stated in medical narra…
Database
Credentialed Access
MIMIC-IV-Note: Deidentified free-text clinical notes
The advent of large, open access text databases has driven advances in state-of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data available for NLP has been cited as a significant barrier …
Database
Contributor Review
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room
The ER-Reason dataset is a benchmark designed to evaluate LLM-based clinical reasoning and decision-making in the emergency room (ER), a high-stakes setting where clinicians make rapid, consequential decisions across diverse patient presentations an…