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Solutions
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:

HOPE-CAT is a machine-learning-based risk-assessment algorithm that identifies factors that may indicate the development of cardiovascular conditions that lead to maternal morbidity and mortality. By monitoring a pregnant patient's aggregated health data (e.g., medical records, wearables and device data, and self-reported data) in real time, HOPE-CAT stratifies a patient's risk and alerts providers to changes in a patient's risk status.

About Invaryant:
Invaryant is a Georgia-based health tech company enabling safer healthcare through integrated, real-world data and patented technologies. Our platform connects patients with those who make healthy possible, creating a secure, real-time, inter- & extraoperable environment for patient safety. Who benefits from Invaryant? • Patients • Physicians and other providers (in-person and telehealth) • Researchers • Patient safety programs (such as REMS and pharmacovigilance)
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.

Compatibility level

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Clients

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

Use Cases

Description:

Detect risks related to cardiovascular events and disease in pregnancy and postpartum.


Aid in earlier diagnosis of conditions leading to maternal morbidity and mortality.

Pediatric use cases:

None provided

Users:

Patients, Practitioners, OBGYNs, Midwives, Nurse Practitioners, Doulas, Cardiologists, Emergency Medicine

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

EHR Integrations

Integrations:

Not applicable

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner, Meditech

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Client Types

Differentiators

Differentiators vs EHR Functionality:

Current efforts to reduce cardiovascular-based maternal morbidity and mortality are reactive. Often occurring in a disjointed system, patient encounters and, consequently, data collection occur every few weeks or months over the course of a pregnancy, and even less frequently postpartum.

HOPE-CAT constantly monitors a patient's aggregated health data (e.g., medical records, wearable and device data, and self-reported data) in real time, stratifies a patient's risk, and alerts providers to changes in a patient's risk status.

The machine-learning-based technology identifies signs of risk sooner than would be discovered in a clinical setting, prompting proactive intervention and reducing outcomes of maternal morbidity and mortality.

Differentiators vs Competitors:

HOPE-CAT is a proactive tool that identifies signs of risk before a patient experiences complications or a medical emergency, prompting intervention and fostering proactive care, unlike other diagnostic and treatment models.

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

Keywords

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Company Details

Founded in 2015

Founded in 2011

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