Resources

25 results for "clinicians"

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.

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…
Published: Aug. 27, 2026. Version: 1.1.0
Database Credentialed Access

MIMIC-IV-Ext clinical decision support for referral, triage and diagnosis

Farieda Gaber, Altuna Akalin

Accurate medical decision-making is critical for both patients and clinicians. Patients often find it difficult to interpret their symptoms, determine their severity, and select the right specialist to see. At the same time, clinicians face challeng…
Published: Oct. 8, 2025. Version: 1.0.2
Challenge Credentialed Access

ArchEHR-QA: A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization

Sarvesh Soni, Dina Demner-Fushman

Patient’s unique information needs about their hospitalization can be addressed using clinical evidence from electronic health records (EHRs) and artificial intelligence (AI). However, robust datasets to assess the factuality and relevance of AI-gen…
Published: Oct. 5, 2026. Version: 1.4
Database Restricted Access

KI EndoLIST: Endometriosis Longitudinal Individualized Symptoms Tracking Dataset

Tamar Zelovich, Vered Klaitman, Shaked Feiglin, et al.

Endometriosis affects approximately 10% of reproductive-age women globally, yet the time to diagnosis is four to twelve years due to clinical challenges and the normalization of symptoms by patients and healthcare providers. Additionally, highly div…
Published: April 30, 2026. Version: 1.0.0
Database Credentialed Access

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, et al.

Discharge summaries in Electronic Health Records (EHRs) are crucial for clinical decision-making, but their length and complexity make information extraction challenging, especially when dealing with accumulated summaries across multiple patient adm…
Published: June 26, 2024. Version: 1.0.1
Database Credentialed Access

SCRIPT CarpeDiem Dataset: demographics, outcomes, and per-day clinical parameters for critically ill patients with suspected pneumonia

Nikolay Markov, Catherine A Gao, Thomas Stoeger, et al.

Traditional approaches to analyzing episodes of patient care in the ICU examine features on presentation and outcomes on discharge, collapsing the numerous events that happen during a patient’s stay and ignoring intercurrent ICU complications or int…
Published: Aug. 13, 2026. Version: 1.9.1
Database Restricted Access

Kingston ICU AF Dataset

Sarah Nassar, Nooshin Maghsoodi, Ziqi Chen, et al.

This newly published dataset aims to facilitate research in atrial fibrillation (AF) detection in the intensive care unit (ICU). The ICU is a unique environment with noisy signals due to patient movement and prevalent alarms that can lead to alarm f…
Published: July 29, 2026. Version: 1.0.0
Database Credentialed Access

Insulin4RL: Real-Time Insulin Infusions For Offline Reinforcement Learning

Thomas Frost, Steve Harris

Offline reinforcement learning (RL) holds promise for improving healthcare decision-making. However, most existing approaches rely on discretising patient trajectories into strictly regular time intervals. This is done to improve compatibility with …
Published: June 15, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-Notes

Darren Liu, Monique Bouvier, Delgersuren Bold, et al.

Unstructured clinical documentation, such as progress notes, contains rich contextual information critical for clinical decision-making but remains underutilized in computational research due to the limited availability of annotated datasets. The MI…
Published: Feb. 27, 2026. Version: 1.0.0
Database Contributor Review

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Mel Molina, Nikita Mehandru, Niloufar Golchini, et al.

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…
Published: Oct. 23, 2025. Version: 1.0.0