Resources
32 results for "discharge summary"
Database
Credentialed Access
National Institutes of Health Stroke Scale (NIHSS) Annotations for the MIMIC-III Database
The National Institutes of Health Stroke Scale (NIHSS) is a 15-item neurologic examination stroke scale. It quantifies the physical manifestations of neurological deficits and provides crucial support for clinical decision making and early-stage eme…
Database
Credentialed Access
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
We created a dataset of clinical action items annotated over MIMIC-III. This dataset, which we call CLIP, is annotated by physicians and covers 718 discharge summaries, representing 107,494 sentences. Annotations were collected as character-level sp…
Database
Credentialed Access
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp
Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is a high-quality dataset with time series clinical events. In this work, we release…
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-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
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
clinical notes
large language models
electronic health records
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…
Challenge
Credentialed Access
Discharge Me: BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation
"Discharge Me!", part of the BioNLP workshop co-located with ACL 2024, seeks to alleviate the significant burden on clinicians who dedicate substantial time to crafting detailed discharge notes in the EHR. Participants in the task will explore appro…
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-SDBench: Sequential Diagnosis Benchmark Cases Derived from MIMIC-IV
MIMIC-IV-Ext-SDBench contains 488 case records derived from MIMIC-IV emergency department encounters in which the patient was subsequently admitted as an inpatient. Each case is formatted primarily for use with the Sequential Diagnosis Benchmark, an…
Database
Credentialed Access
MIMIC-IV-Ext Gender-Expansive Patient Stigmatizing Language Annotations
This database supports research on stigmatizing language in clinical documentation concerning gender-expansive patients. It contains expert-reviewed, note-level annotations for 754 deidentified discharge summaries from MIMIC-IV-Note, including 366 n…