Resources


Database Credentialed Access

MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation

Philip Chung, Akshay Swaminathan, Alex Goodell, et al.

A clinician-labeled dataset for fact-checking long-form clinical text against patient EHRs. The dataset contains LLM-written and human-written Brief Hospital Course summaries decomposed to atomic claim and sentence propositions with annotations.

artificial intelligence natural language processing clinical notes electronic health records brief hospital course large language models long-form text chart review text reranking atomic claim hybrid retrieval clinical informatics clinical medicine fact verification retrieval-augmented generation logical atomism text embedding formal logic llm-as-a-judge llm evaluation

Published: April 9, 2025. Version: 1.0.0

Database Credentialed Access

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, Gyubok Lee, et al.

Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Published: March 19, 2025. Version: 1.0.1

Database Restricted Access

OpenOximetry Repository

Nicholas Fong, Michael Lipnick, Philip Bickler, et al.

A repository of matched arterial oxygen and pulse oximeter readings obtained under controlled conditions, with high-frequency physiologic waveforms and skin color measurements.

Published: Feb. 28, 2025. Version: 1.1.1

Database Credentialed Access

MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization

Asad Aali, Dave Van Veen, Yamin Arefeen, et al.

This dataset presents a collection of preprocessed and labeled clinical notes derived from "MIMIC-IV-Note", and aims to facilitate the development of ML models focused on summarizing brief hospital courses (BHC) from clinical notes.

natural language processing clinical notes brief hospital course text summarization machine learning

Published: Feb. 3, 2025. Version: 1.2.0

Database Open Access

CGMacros: a scientific dataset for personalized nutrition and diet monitoring

Ricardo Gutierrez-Osuna, David Kerr, Bobak Mortazavi, et al.

CGMacros contains information from two continuous glucose monitors (CGM), food macronutrients, food photographs, physical activity, and anonymized participant demographics, anthropometric measurements and health parameters.

diabetes continuous glucose monitors obesity postprandial glucose response food macronutrients metabolic models food photographs personalized nutrition machine learning

Published: Jan. 28, 2025. Version: 1.0.0

Database Credentialed Access

TherLid: A Thermometry Linked Dataset

Jeremy Tan, Inês Martins, João Matos, et al.

TherLiD is an open-source dataset of 13,251 paired temperature readings (contact and infrared) from MIMIC-IV and eICU databases. With added demographics and derived data, it supports research on racial and ethnic disparities in infrared thermometry.

thermometry intensive care unit electronic health records health equity

Published: Jan. 21, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV on FHIR

Alex Bennett, Joshua Wiedekopf, Hannes Ulrich, et al.

MIMIC-IV and MIMIC-IV-ED data mapped into FHIR resources.

mimic-iv fhir electronic health record us core fast healthcare interoperability resources mimic

Published: Nov. 12, 2024. Version: 2.1

Database Contributor Review

Chest Computed Tomography for patients with sepsis in the Emergency Department

Senjun Jin, Zhongheng Zhang

The database is intended to support a wide array of research studies involving radiomics in sepsis patients, helping to reduce barriers to the reproducibility of clinical research.

sepsis

Published: Oct. 28, 2024. Version: 1.0.0

Model Credentialed Access

Shareable Artificial Intelligence to Extract Cancer Outcomes from Electronic Health Records for Precision Oncology Research

Kenneth Kehl, Pavel Trukhanov, Christopher Fong, et al.

The DFCI-imaging-student and DFCI-medonc-student AI models for extracting cancer outcomes from imaging reports and medical oncologist notes from electronic health records.

Published: Oct. 24, 2024. Version: 1.0.0

Database Open Access

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Lucas McCullum, et al.

VTaC is an annotated ventricular tachycardia (VT) arrhythmia alarm database containing over 5,000 waveform recordings with VT alarms from ICU monitors, with each alarm labeled as either true or false by at least two human expert annotators.

arrhythmia icu false alarms benchmark dataset ventricular tachycardia machine learning

Published: Oct. 1, 2024. Version: 1.0

Visualize waveforms