Resources


Database Open Access

MIMIC-IV Clinical Database Demo on FHIR

Alex Bennett, Hannes Ulrich, Joshua Wiedekopf, Piotr Szul, John Grimes, Alistair Johnson

The MIMIC-IV Clinical Database Demo on FHIR is a 100 patient subset of the MIMIC-IV v2.2 and MIMIC-IV-ED v2.2 clinical databases converted into the Fast Healthcare Interoperability Resources (FHIR) format.

fhir electronic health records mimic

Published: Aug. 27, 2025. Version: 2.1.0

Database Credentialed Access

A Temporal Dataset for Respiratory Support in Critically Ill Patients

Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Sicheng Hao, Leo Anthony Celi, Hyung-Chul Lee

A benchmark dataset offering hourly records over a 90-day period for 50,920 ICU subjects, including dynamic pulmonary function data and a spectrum of covariates for respiratory intervention analyses.

oberservational data time-series

Published: April 15, 2025. Version: 1.1.0

Database Credentialed Access

MIMIC-IV on FHIR

Alex Bennett, Joshua Wiedekopf, Hannes Ulrich, Philip van Damme, Piotr Szul, John Grimes, Alistair Johnson

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

Model Credentialed Access

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

Kenneth Kehl, Pavel Trukhanov, Christopher Fong, Justin Jee, Karl Pichotta, Morgan Paul, Chelsea Nichols, Michele Waters, Nikolaus Schultz, Deborah Schrag

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, Hasan Saeed, Harsh Deep, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark

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

Database Credentialed Access

INSPIRE, a publicly available research dataset for perioperative medicine

Leerang Lim, Hyung-Chul Lee

A public dataset that contains information related to surgery, anesthesia, laboratory results, medications, diagnosis, and outcomes from 50% of the patients who received surgery at Seoul National University Hospital between 2011 and 2020.

surgery open dataset multi-center perioperative medicine

Published: Aug. 12, 2024. Version: 1.3

Database Credentialed Access

BOLD, a blood-gas and oximetry linked dataset

João Matos, Tristan Struja, Jack Gallifant, Luis Filipe Nakayama, Marie Charpignon, Xiaoli Liu, Jaime dos Santos Cardoso, Leo Anthony Celi, An Kwok Wong

An open-source pulse oximetry and arterial blood gas dataset, derived from MIMIC-III, MIMIC-IV, and eICU-CRD

pulse oximetry intensive care unit health equity electronic health records

Published: Nov. 8, 2023. Version: 1.0

Challenge Credentialed Access

MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models

João Matos, Tristan Struja, David S Restrepo, Luis Filipe Nakayama, Jack Gallifant, Luca Weishaupt, Nikita Mullangi, Maria Loureiro, Skyler Shapiro, Adrien Carrel, Leo Anthony Celi

A SaO2-SpO2 Pairs Dataset derived from MIMIC-IV

pulse oximetry health equity machine learning

Published: May 8, 2023. Version: 1.0.0

Database Open Access

MIMIC-IV Clinical Database Demo

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, Roger Mark

An openly available subset of patients in the MIMIC-IV database.

critical care electronic health record mimic

Published: Jan. 31, 2023. Version: 2.2

Database Credentialed Access

Tasks 1 and 3 from Progress Note Understanding Suite of Tasks: SOAP Note Tagging and Problem List Summarization

Yanjun Gao, John Caskey, Timothy Miller, Brihat Sharma, Matthew Churpek, Dmitriy Dligach, Majid Afshar

We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation.

Published: Sept. 30, 2022. Version: 1.0.0