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

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Categories

Solutions

Description

Product Description:

Health systems use eCART to quickly and efficiently direct clinical resources toward their most critical patients and ensure timely and consistent care. Our sophisticated reporting and benchmarking further empower clinical leadership to understand and drive practice patterns. 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. Built upon more than a decade of ongoing scientific research, eCART was developed at the University of Chicago 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 nearly 2.5 million patients by more than 80,000 providers in over 150 hospitals, including some of the nation's leading academic medical centers. AgileMD is backed by premier accelerators MATTER, YCombinator, and Rock Health, and our cutting-edge analytics are built on a 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 National Institutes of Health (NIH) and Health and Human Services (HHS) to further advance our platform.

Product Description:
EarlySign’s COVID Complications AlgoMarker Identifies individuals at increased risk for having COVID-19 complications. With the goal of prioritizing patients for COVID-19 testing and treatment, this new AlgoMarker aids in triaging patients by reducing chart review time to determine whether they are potentially at high risk for hospitalization, complications, and mortality.
About Medial EarlySign:
Medial EarlySign develops an AI algorithmic platform for the discovery of clinical insights that indicate the likelihood of disease from basic medical information, such as blood test results, and other EMR data. Called AlgoMarkers, its predictive engines are built in collaboration with healthcare organizations, through the combination of 10s of millions of patient years-worth of data, clinical rigor and some of the most brilliant algorithmic minds. The company develops clinical decision support and population health solutions that can assist in the early prediction of clinical outcomes related to cancers, metabolic, immune and infectious diseases. These tools are designed to place at the fingertips of healthcare organizations only those insights that could prove critical in disease management and prevention empowering them with proactive, predictive and personalized care management capabilities

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:

eCART anticipates all cause clinical deterioration in medical-surgical (ward) patients. The tool is used to prevent failure to rescue and improve timely ICU transfers.

Pediatric use cases:

We have a pediatric version of the eCART analytic (pCART) and would be happy to discuss a research partnership for this tool. 

Users:

Medical-surgical nurses and providers, rapid response teams

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:
  • 10+ years of published academic literature on value over other early warning scores
  • Analytics derived and validated in robust patient datasets 
  • Built by clinicians for clinicians, with full cross-team workflow to ensure risk scores are understood and acted upon
Differentiators vs Competitors:
  • 8+ years in clinical use
  • High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
  • Integrated workflow to ensure that risk scores are not ignored and action is taken
  • Robust reporting and benchmarking to drive quality improvement
  • Deep EHR-integration
Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

Images

No images provided

No images provided

Videos

No videos provided

No videos provided

Downloads

No content provided

No content provided

Alternatives

Company Details

Founded in 2011

Founded in 2009

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