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#### This repoitory is under review for potential modification in compliance with Administration directives.

## AI for Clinical Care

Creating a patient-focused collaborative hospital repository uniting standards for clinical care AI

DataSet

## Expanding Artificial Intelligence and Machine Learning to Improve Recovery from Acute Illness

The CHoRUS project is one data generation project of four in the National Institute of Health (NIH) funded Bridge2AI consortium. The goal is to work with projects to create ethically sourced datasets and tools around Artificial Intelligence and to create best practices for AI in health.

Learn more about Bridge2AI Consortium

## Snapshot of the dataset

### Anticipated Final Dataset

### 100,000

Patient admissions

### 9

Different data modalities

### 14

Data contributing hospitals

### 60+

CHoRUS consortium members across 20 different institutions

### Current Released Dataset

### 50,000

Patient admissions from ICU, PICU, and NICU

### 1.6 Billion

Rows of EHR OMOP data

### 7,642

Admissions with Radiology Data

### 23 Tb

Waveform data

## CHoRUS Project Components

## Data

The CHoRUS project is the collection of multi-modal data across 14 different hospitals. The data utilizes ongoing and new standardization practices. The team creates tools to support the cloud enclave.

## Ethics

The CHoRUS consortium evaluates community perspectives on clinical care AI to find ways to increase trustworthiness of provenance and privacy in AI. New approaches are being created as existing legal and regulatory landscape is analyzed.

## People

Dedicated to engaging the community in CHoRUS and Bridge2AI work products, CHoRUS project is dedicated to training engineers, data scientists, and clinicians to solidify AI in Clinical Care Data Engineering Infrastructure.

### Learning Opportunities

Learn of different opportunities to gain hands-on training using the CHoRUS dataset to support the development of transnational AI in clinical care.

Learn More

## CHoRUS Consortium

This project is funded by the NIH under award number OT2OD032701. The content on this website is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

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Contact Us

Ciera McCrary, MGH, Program Manager

cmccrary@mgh.havard.edu