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Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Keywords
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Keywords
Media
Company details
ChatRWD
ChatRWD

0 review

eCART
eCART

Categories

Solutions

Description

Product Description:

Atropos Health’s ChatRWD blends generative AI based chat interface with our time-honed technologies for rapid real-world evidence

The result is simple Q&A to AI-powered observational studies on the dataset of your choice in minutes. Beating our industry-leading turnaround time with the Green Button Informatics Consult Service.

About Atropos Health:

Atropos Health rapidly transforms medical data into real-world evidence, closing evidence gaps in medicine and expediting research from months to minutes. 

Product Description:
  • eCART is a research-based, AI-driven software as a medical device (SaMD) that utilizes a machine learning algorithm to continuously assess hospitalized patients’ risk of impending death or intensive care unit (ICU) transfer, assisting medical staff in swift and accurate recognition of patients requiring increased medical attention. eCART draws upon readily available patient data from the EHR, rapidly quantifies disease severity, and predicts likelihood of critical illness onset, hours before it happens.
  • eCART received FDA 510(k) clearance in 2024, with clinical performance data of nearly two million hospitalizations from 21 hospitals, including an unprecedented level of real-world prospective data, to ensure consistent accuracy across geography, age, race, and top medical conditions (e.g. sepsis, COPD, heart failure). 
  • Built upon more than a decade of ongoing scientific research, eCART was developed at UChicago Medicine by Dr. Dana Edelson, MD, MS and Dr. Matthew Churpek, MD, PhD and is well chronicled in published literature. The analytic and workflow have been in use in clinical practice since 2016.
About AgileMD:

At AgileMD, we are building the most advanced real-time predictive analytics and clinical pathways platform for hospitals.

To date, AgileMD tools have been used on more than 4 million patient encounters by more than 135,000 clinical users in over 250 hospitals, including some of the nation's leading academic medical centers. AgileMD's eCART clinical deterioration prediction software is FDA cleared and the first AI-powered early warning device for ward patients to go through the FDA process with real-world prospective data. 

AgileMD is backed by premier start-up partners MATTER, YCombinator, and Rock Health, and our cutting-edge analytics are built on more than decade of ongoing research at the University of Chicago. In 2021, AgileMD garnered nearly $3 million in combined federal research and development funding from the U.S. Department of Health and Human Services (HHS), including the National Institutes of Health (NIH) and the Biomedical Advanced Research and Development Authority (BARDA).

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Use Cases

Description:

On demand real-world evidence

Pediatric use cases:

On demand real-world evidence

Users:

Clinincal and non-clinical

Description:

eCART anticipates all cause clinical deterioration in medical-surgical (ward) patients and is validated for sepsis, COPD, heart failure, and COVID-19. The EHR-embedded software device is used to prevent failure to rescue and improve timely ICU transfers using a highly-accurate risk score, an interpretable patient dashboard, and actionable clinical workflows.

Pediatric use cases:

pCART, the pediatric version of eCART, is available for research use and is used in clinical practice today. We would be happy to discuss a partnership.

Users:

Medical-surgical nurses and providers, rapid response & critical care teams

EHR Integrations

Integrations:

Website / public online sources

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Would prefer not to disclose, Point Click Care

Hardware Compatibility:

Not applicable

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

Desktop

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:

no similar capability in EHR

Differentiators vs Competitors:

Speed, 100% peer-reviewed methodology, generates high-quality, real-world evidence from real-world data, versus summarization of existing literature only

Differentiators vs EHR Functionality:
  • Continuously monitors EHR data in real time
  • Stratifies hospitalized patients by risk of impending all-cause clinical deterioration and sepsis
  • Notifies inpatient providers when patient may need additional assessment and management
  • Recommends clinical pathways with integrated order entry
Differentiators vs Competitors:
  • Authorized: FDA 510(k) cleared
  • Tested: Derived and validated in nearly 3 million patient encounters across 28 hospitals
  • Experienced: 8+ years in clinical use; 10+ years of published academic literature on value over other early warning scores
  • Accurate: High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
  • Integrated: Embedded cross-team workflow ensures that risk scores are not ignored and action is taken
  • Benchmarked: Robust reporting, benchmarking, and implementation support drive quality improvement

Keywords

Images

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ChatRWD™ example

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Videos

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ChatRWD™ HLTH Demo

No videos provided

Downloads

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About GENEVA OS™ and ChatRWD™
https://www.agilemd.com/updates/ecart-fda-clearance

Alternatives

Company Details

Founded in 2011

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